This report presents information used to characterize the groundwater-flow system in the Chambers-Clover Creek Watershed and vicinity, and includes descriptions of the geology and hydrogeologic framework; groundwater recharge and discharge; groundwater levels and flow directions; seasonal groundwater level fluctuations; interactions between aquifers and the surface-water system; and a water budget. The study area covers about 706 square miles in western Pierce County, Washington, and extends north to the Puyallup River, southwest to the Nisqually River, and is bounded on the south and east by foothills of the Cascade Range and on the west by Puget Sound. The area is underlain by a northwest-thickening sequence of unconsolidated glacial and interglacial deposits which overlie sedimentary and volcanic bedrock units that crop out in the foothills along the southern and southeastern margin of the study area. Geologic units were grouped into 11 hydrogeologic units consisting of aquifers, confining units, and an underlying bedrock unit. A surficial hydrogeologic unit map was developed and used with well information from 450 drillers’ logs to construct 6 hydrogeologic sections, and unit extent and thickness maps.
Groundwater in unconsolidated glacial and interglacial aquifers generally flows to the northwest towards Puget Sound, and to the north and northeast towards the Puyallup River. These generalized flow patterns likely are complicated by the presence of low permeability confining units that separate discontinuous bodies of aquifer material and act as local groundwater-flow barriers. Water levels in wells completed in the unconsolidated hydrogeologic units show seasonal variations ranging from less than 1 to about 50 feet. The largest groundwater-level fluctuation (78 feet) observed during the monitoring period (March 2007–September 2008) was in a well completed in the bedrock unit.
Synoptic streamflow measurements made in September 2007 and July 2008 indicated a total groundwater discharge to streams in the study area of 87,310 and 92,160 acre-feet per year, respectively. The synoptic streamflow measurements show a complex pattern of gains and losses to streamflows that varies throughout the study area, and appears to be influenced in places by local topography. Groundwater discharge occurs at numerous springs in the area and the total previously reported discharge of springs in the area is approximately 80,000 acre-feet per year. There are, in addition, many unmeasured springs and the total spring discharge in the area is unknown.
The water-budget area (432 mi2 located within the larger study area) received an annual average (September1, 2006, to August 31, 2008) of about 1,025,000 acre-ft or about 45 inches of precipitation a year. About 44 percent of precipitation enters the groundwater system as recharge. Almost one-half of this recharge (49 percent) discharges to the Puyallup and Nisqually Rivers and leaves the groundwater system as submarine groundwater discharge to Puget Sound. The remaining groundwater recharge discharges to streams (20 percent) and springs (18 percent) or is withdrawn from wells (13 percent)
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105055","collaboration":"Prepared in cooperation with the Pierce Conservation District and the Washington State Department of Ecology","usgsCitation":"Savoca, M.E., Welch, W.B., Johnson, K.H., Lane, R.C., Clothier, B.G., and Fasser, E.T., 2010, Hydrogeologic framework, groundwater movement, and water budget in the Chambers-Clover Creek watershed and vicinity, Pierce County, Washington: U.S. Geological Survey Scientific Investigations Report 2010-5055, Report: viii, 46 p.; 2 Plates: 40.68 x 30.19 inches and 45 x 36.02 inches; LIDAR Coverage: 21.30 x 26.31 inches, https://doi.org/10.3133/sir20105055.","productDescription":"Report: viii, 46 p.; 2 Plates: 40.68 x 30.19 inches and 45 x 36.02 inches; LIDAR Coverage: 21.30 x 26.31 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-03-01","temporalEnd":"2008-09-30","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":423550,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92074.htm","linkFileType":{"id":5,"text":"html"}},{"id":13541,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5055/","linkFileType":{"id":5,"text":"html"}},{"id":125438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5055.jpg"}],"projection":"Universal Transverse Mercator","country":"United States","state":"Washington","county":"Pierce County","otherGeospatial":"Chambers-Clover Creek watershed and vicinity","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.75,\n 46.75\n ],\n [\n -122.75,\n 47.35\n ],\n [\n -122.08333333333333,\n 47.35\n ],\n [\n -122.08333333333333,\n 46.75\n ],\n [\n -122.75,\n 46.75\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628e22","contributors":{"authors":[{"text":"Savoca, Mark E. mesavoca@usgs.gov","contributorId":1961,"corporation":false,"usgs":true,"family":"Savoca","given":"Mark","email":"mesavoca@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, R. C.","contributorId":6421,"corporation":false,"usgs":true,"family":"Lane","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":304909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clothier, Burt G.","contributorId":140517,"corporation":false,"usgs":false,"family":"Clothier","given":"Burt","email":"","middleInitial":"G.","affiliations":[{"id":13522,"text":"Robinson & Noble","active":true,"usgs":false}],"preferred":false,"id":890157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fasser, Elisabeth T. 0000-0002-3945-6633 efasser@usgs.gov","orcid":"https://orcid.org/0000-0002-3945-6633","contributorId":3973,"corporation":false,"usgs":true,"family":"Fasser","given":"Elisabeth","email":"efasser@usgs.gov","middleInitial":"T.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98285,"text":"ds481 - 2010 - EAARL Coastal Topography and Imagery-Naval Live Oaks Area, Gulf Islands National Seashore, Florida, 2007","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ds481","displayToPublicDate":"2010-03-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"481","title":"EAARL Coastal Topography and Imagery-Naval Live Oaks Area, Gulf Islands National Seashore, Florida, 2007","docAbstract":"These remotely sensed, geographically referenced color-infrared (CIR) imagery and elevation measurements of lidar-derived bare-earth (BE) topography, first-surface (FS) topography, and canopy-height (CH) datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Science Center, St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Naval Live Oaks Area in Florida's Gulf Islands National Seashore, acquired June 30, 2007. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral CIR camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n\r\nFor more information about similar projects, please visit the Decision Support for Coastal Science and Management website.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds481","usgsCitation":"Nagle, D.B., Nayegandhi, A., Yates, X., Brock, J., Wright, C.W., Bonisteel, J.M., Klipp, E.S., and Segura, M., 2010, EAARL Coastal Topography and Imagery-Naval Live Oaks Area, Gulf Islands National Seashore, Florida, 2007: U.S. Geological Survey Data Series 481, 1 DVD, https://doi.org/10.3133/ds481.","productDescription":"1 DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13538,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/481/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.16666666666667,30.333333333333332 ], [ -87.16666666666667,30.383333333333333 ], [ -87.11666666666666,30.383333333333333 ], [ -87.11666666666666,30.333333333333332 ], [ -87.16666666666667,30.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db69743e","contributors":{"authors":[{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304893,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":304896,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98221,"text":"ds482 - 2010 - EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. ","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ds482","displayToPublicDate":"2010-03-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"482","title":"EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. ","docAbstract":"Project Description\r\n\r\nThese remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the western Florida coastline beachface, acquired post-Hurricane Charley on August 17 and 18, 2004. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation.\r\n\r\nFor more information about similar projects, please visit the Decision Support for Coastal Science and Management website.\r\n\r\nSelected References\r\n\r\nBrock, J.C., Wright, C.W., Sallenger, A.H., Krabill, W.B., and Swift, R.N., 2002, Basis and methods of NASA airborne topographic mapper Lidar surveys for coastal studies: Journal of Coastal Research, v. 18, no. 1, p. 1-13.\r\n\r\nCrane, Michael, Clayton, Tonya, Raabe, Ellen, Stoker, Jason, Handley, Larry, Bawden, Gerald, Morgan, Karen, and Queija, Vivian, 2004, Report of the U.S. Geological Survey Lidar workshop sponsored by the Land Remote Sensing Program and held in St. Petersburg, FL, November 2002: U.S. Geological Survey Open-File Report 2004-1456, 72 p.\r\n\r\nNayegandhi, Amar, Brock, J.C., and Wright, C.W., 2009, Small-footprint, waveform-resolving Lidar estimation of submerged and sub-canopy topography in coastal environments: International Journal of Remote Sensing, v. 30, no. 4, p. 861-878.\r\n\r\nSallenger, A.H., Wright, C.W., and Lillycrop, Jeff, 2005, Coastal impacts of the 2004 hurricanes measured with airborne Lidar; initial results: Shore and Beach, v. 73, nos. 2-3, p. 10-14.\r\n\r\nResources Included\r\n\r\nReadme.txt File\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds482","collaboration":"These remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.","usgsCitation":"Nayegandhi, A., Bonisteel, J.M., Wright, C.W., Sallenger, A., Brock, J., and Yates, X., 2010, EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. : U.S. Geological Survey Data Series 482, DVD, https://doi.org/10.3133/ds482.","productDescription":"DVD","onlineOnly":"N","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":125800,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_482.jpg"},{"id":13479,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/482/index.html","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.5,26.333333333333332 ], [ -82.5,27.333333333333332 ], [ -82,27.333333333333332 ], [ -82,26.333333333333332 ], [ -82.5,26.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c33d","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304702,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98129,"text":"sir20095227 - 2010 - The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts","interactions":[],"lastModifiedDate":"2024-10-30T20:52:11.685734","indexId":"sir20095227","displayToPublicDate":"2010-01-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5227","title":"The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts","docAbstract":"Federal, State and local water-resource managers require a variety of data and modeling tools to better understand water resources. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, has developed a statewide, interactive decision-support tool to meet this need. The decision-support tool, referred to as the Massachusetts Sustainable-Yield Estimator (MA SYE) provides screening-level estimates of the sustainable yield of a basin, defined as the difference between the unregulated streamflow and some user-specified quantity of water that must remain in the stream to support such functions as recreational activities or aquatic habitat. The MA SYE tool was designed, in part, because the quantity of surface water available in a basin is a time-varying quantity subject to competing demands for water.\r\n\r\nTo compute sustainable yield, the MA SYE tool estimates a daily time series of unregulated, daily mean streamflow for a 44-year period of record spanning October 1, 1960, through September 30, 2004. Selected streamflow quantiles from an unregulated, daily flow-duration curve are estimated by solving six regression equations that are a function of physical and climate basin characteristics at an ungaged site on a stream of interest. Streamflow is then interpolated between the estimated quantiles to obtain a continuous daily flow-duration curve. A time series of unregulated daily streamflow subsequently is created by transferring the timing of the daily streamflow at a reference streamgage to the ungaged site by equating exceedence probabilities of contemporaneous flow at the two locations. One of 66 reference streamgages is selected by kriging, a geostatistical method, which is used to map the spatial relation among correlations between the time series of the logarithm of daily streamflows at each reference streamgage and the ungaged site. Estimated unregulated, daily mean streamflows show good agreement with observed unregulated, daily mean streamflow at 18 streamgages located across southern New England. Nash-Sutcliffe efficiency goodness-of-fit values are between 0.69 and 0.98, and percent root-mean-square-error values are between 19 and 283 percent.\r\n\r\nThe MA SYE tool provides an estimate of streamflow adjusted for current (2000-04) water withdrawals and discharges using a spatially referenced database of permitted groundwater and surface-water withdrawal and discharge volumes. For a user-selected basin, the database is queried to obtain the locations of water withdrawal or discharge volumes within the basin. Groundwater and surface-water withdrawals and discharges are subtracted and added, respectively, from the unregulated, daily streamflow at an ungaged site to obtain a streamflow time series that includes the effects of these withdrawals and discharges. Users also have the option of applying an analytical solution to the time-varying, groundwater withdrawal and discharge volumes that take into account the effects of the aquifer properties on the timing and magnitude of streamflow alteration.\r\n\r\nFor the MA SYE tool, it is assumed that groundwater and surface-water divides are coincident. For areas of southeastern Massachusetts and Cape Cod where this assumption is known to be violated, groundwater-flow models are used to estimate average monthly streamflows at fixed locations. There are several limitations to the quality and quantity of the spatially referenced database of groundwater and surface-water withdrawals and discharges. The adjusted streamflow values do not account for the effects on streamflow of climate change, septic-system discharge, impervious area, non-public water-supply withdrawals less than 100,000 gallons per day, and impounded surface-water bodies.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095227","isbn":"9781411326644","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Archfield, S.A., Vogel, R.M., Steeves, P.A., Brandt, S.L., Weiskel, P.K., and Garabedian, S.P., 2010, The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2009-5227, Report: viii, 43 p.; Appendix: 4 Plates: 50.00 x 36.00 inches or smaller; Estimator Tool, https://doi.org/10.3133/sir20095227.","productDescription":"Report: viii, 43 p.; Appendix: 4 Plates: 50.00 x 36.00 inches or smaller; Estimator Tool","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1960-10-01","temporalEnd":"2004-09-30","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":125628,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5227.jpg"},{"id":13368,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5227/","linkFileType":{"id":5,"text":"html"}},{"id":463449,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91026.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.827398,41.602067],[-70.823735,41.598569],[-70.820918,41.587673],[-70.821001,41.587268],[-70.821743,41.583656],[-70.82191,41.582841],[-70.830087,41.585385],[-70.837632,41.595374],[-70.838147,41.596056],[-70.838452,41.59646],[-70.834529,41.60261],[-70.832044,41.606504],[-70.831802,41.606272],[-70.828025,41.602666],[-70.827398,41.602067]]],[[[-70.59628,41.471905],[-70.57485,41.468259],[-70.567356,41.471208],[-70.56328,41.469127],[-70.553277,41.452955],[-70.552943,41.443394],[-70.555588,41.430882],[-70.553096,41.423952],[-70.547567,41.415831],[-70.538301,41.409241],[-70.528581,41.4051],[-70.517584,41.403769],[-70.506984,41.400242],[-70.502372,41.392005],[-70.501306,41.385391],[-70.498959,41.384339],[-70.490758,41.383634],[-70.484503,41.38629],[-70.472604,41.399128],[-70.473035,41.408757],[-70.470788,41.412875],[-70.463833,41.419145],[-70.450431,41.420703],[-70.446233,41.39648],[-70.449268,41.380422],[-70.448262,41.353651],[-70.451084,41.348161],[-70.496162,41.346452],[-70.538294,41.348958],[-70.599157,41.349272],[-70.709826,41.341723],[-70.733253,41.336226],[-70.747541,41.329952],[-70.764188,41.318706],[-70.768015,41.311959],[-70.766166,41.308962],[-70.768687,41.303702],[-70.775665,41.300982],[-70.802083,41.314207],[-70.819415,41.327212],[-70.838777,41.347209],[-70.833802,41.353386],[-70.812309,41.355745],[-70.800289,41.3538],[-70.783291,41.347829],[-70.774974,41.349176],[-70.768901,41.353246],[-70.729225,41.397728],[-70.724366,41.398942],[-70.712432,41.40885],[-70.711493,41.41546],[-70.701378,41.430925],[-70.686881,41.441334],[-70.64933,41.461068],[-70.603555,41.482384],[-70.598444,41.481151],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.082072,41.299093],[-70.062565,41.308726],[-70.046088,41.321651],[-70.031332,41.339332],[-70.028805,41.359919],[-70.030924,41.367453],[-70.035162,41.372161],[-70.038458,41.376399],[-70.045586,41.383598],[-70.049564,41.3879],[-70.049053,41.391702],[-70.033514,41.385816],[-70.018446,41.36863],[-69.960277,41.278731],[-69.960181,41.264546],[-69.964422,41.25457],[-69.965725,41.252466],[-69.975,41.247392],[-70.001586,41.239353],[-70.015225,41.237964],[-70.052807,41.242685],[-70.083239,41.2444],[-70.096967,41.24085],[-70.118669,41.242351],[-70.170681,41.255881],[-70.237175,41.282724],[-70.256164,41.288123],[-70.266776,41.294453],[-70.273478,41.301528],[-70.275526,41.310464],[-70.260632,41.310092],[-70.249276,41.305623],[-70.244435,41.303203],[-70.240153,41.295384],[-70.229541,41.290171],[-70.20869,41.290171],[-70.196304,41.294612],[-70.12446,41.293851],[-70.092142,41.297741]]],[[[-73.022903,42.741133],[-72.930261,42.73916],[-72.809113,42.736581],[-72.458519,42.726853],[-72.285954,42.721631],[-72.282981,42.721557],[-72.124526,42.717636],[-71.981402,42.713294],[-71.928811,42.712234],[-71.898716,42.71142],[-71.745817,42.707287],[-71.636214,42.704888],[-71.631814,42.704788],[-71.542533,42.702672],[-71.351874,42.698154],[-71.330206,42.69719],[-71.294205,42.69699],[-71.278929,42.711258],[-71.267905,42.72589],[-71.255605,42.736389],[-71.25518,42.73665],[-71.245504,42.742589],[-71.233404,42.745489],[-71.223904,42.746689],[-71.208302,42.743314],[-71.208227,42.743294],[-71.208137,42.743273],[-71.181803,42.73759],[-71.186104,42.790689],[-71.174403,42.801589],[-71.167703,42.807389],[-71.165603,42.808689],[-71.149703,42.815489],[-71.132503,42.821389],[-71.116048,42.817751],[-71.064201,42.806289],[-71.053601,42.833089],[-71.047501,42.844089],[-71.044401,42.848789],[-71.031201,42.859089],[-70.9665,42.868989],[-70.949199,42.876089],[-70.931699,42.884189],[-70.930799,42.884589],[-70.927629,42.885326],[-70.914899,42.886589],[-70.914886,42.886564],[-70.902768,42.88653],[-70.886136,42.88261],[-70.848625,42.860939],[-70.837376,42.864996],[-70.830795,42.868918],[-70.821769,42.87188],[-70.817296,42.87229],[-70.817731,42.850613],[-70.80522,42.781798],[-70.792867,42.747118],[-70.772267,42.711064],[-70.770453,42.704824],[-70.778552,42.69852],[-70.778671,42.693622],[-70.764421,42.68565],[-70.748752,42.683878],[-70.744427,42.682092],[-70.72982,42.669602],[-70.728845,42.663877],[-70.689402,42.653319],[-70.682594,42.654525],[-70.681594,42.662342],[-70.663548,42.677603],[-70.645101,42.689423],[-70.630077,42.692699],[-70.620031,42.688006],[-70.622864,42.67599],[-70.623815,42.665481],[-70.622791,42.660873],[-70.61482,42.65765],[-70.595474,42.660336],[-70.591742,42.648508],[-70.591469,42.639821],[-70.594014,42.63503],[-70.605611,42.634898],[-70.61842,42.62864],[-70.635635,42.600243],[-70.654727,42.582234],[-70.664887,42.580436],[-70.668022,42.581732],[-70.668115,42.585361],[-70.668488,42.589643],[-70.670442,42.592249],[-70.672583,42.594296],[-70.675747,42.594669],[-70.678819,42.594389],[-70.681428,42.593173],[-70.684502,42.588858],[-70.698574,42.577393],[-70.729688,42.57151],[-70.737044,42.576863],[-70.757283,42.570455],[-70.804091,42.561595],[-70.815391,42.554195],[-70.823291,42.551495],[-70.848492,42.550195],[-70.871382,42.546404],[-70.872357,42.542952],[-70.866279,42.522617],[-70.859751,42.520441],[-70.857125,42.521492],[-70.842091,42.519495],[-70.831091,42.503596],[-70.835991,42.490496],[-70.841591,42.487596],[-70.847391,42.491496],[-70.857791,42.490296],[-70.879692,42.478796],[-70.886493,42.470197],[-70.887992,42.467096],[-70.887292,42.464896],[-70.894292,42.460896],[-70.908092,42.466896],[-70.917693,42.467996],[-70.921993,42.466696],[-70.934993,42.457896],[-70.934264,42.444646],[-70.933155,42.437833],[-70.928226,42.430986],[-70.913192,42.427697],[-70.908392,42.425197],[-70.901992,42.420297],[-70.905692,42.416197],[-70.936393,42.418097],[-70.943295,42.436248],[-70.943612,42.452092],[-70.94702,42.456236],[-70.96047,42.446166],[-70.960647,42.443787],[-70.960835,42.441272],[-70.982994,42.423996],[-70.987694,42.416696],[-70.990595,42.407098],[-70.989195,42.402598],[-70.985068,42.402041],[-70.983426,42.396246],[-70.980336,42.391513],[-70.972706,42.389968],[-70.970195,42.388036],[-70.97174,42.387071],[-70.972513,42.385042],[-70.972706,42.381759],[-70.972223,42.377316],[-70.960798,42.360648],[-70.953292,42.349698],[-70.953022,42.343973],[-70.963578,42.34686],[-70.972418,42.353875],[-70.974897,42.355843],[-70.979927,42.356382],[-70.982282,42.35592],[-70.998253,42.352788],[-71.006877,42.347039],[-71.010146,42.339234],[-71.011804,42.335274],[-71.01568,42.326019],[-71.013165,42.315419],[-71.005399,42.307196],[-71.000948,42.302483],[-71.006158,42.28811],[-71.0049,42.28272],[-70.996097,42.271222],[-70.98909,42.267449],[-70.967351,42.268168],[-70.948971,42.272505],[-70.945547,42.269081],[-70.935886,42.264189],[-70.923169,42.263211],[-70.910941,42.265412],[-70.906302,42.271636],[-70.896267,42.2851],[-70.895778,42.292436],[-70.897123,42.29586],[-70.915588,42.302463],[-70.91749,42.305686],[-70.907556,42.307889],[-70.882764,42.30886],[-70.881242,42.300663],[-70.870873,42.285668],[-70.861807,42.275965],[-70.851093,42.26827],[-70.831075,42.267424],[-70.824661,42.265935],[-70.811742,42.262935],[-70.788724,42.25392],[-70.780722,42.251792],[-70.770964,42.249197],[-70.764757,42.244062],[-70.754488,42.228673],[-70.74723,42.221816],[-70.73056,42.21094],[-70.722269,42.207959],[-70.718707,42.184853],[-70.714301,42.168783],[-70.706264,42.163137],[-70.685315,42.133025],[-70.663931,42.108336],[-70.640169,42.088633],[-70.63848,42.081579],[-70.647349,42.076331],[-70.64819,42.068441],[-70.643208,42.050821],[-70.644337,42.045895],[-70.650874,42.046247],[-70.66936,42.037116],[-70.671666,42.02139],[-70.667512,42.01232],[-70.670934,42.007786],[-70.678798,42.00551],[-70.686798,42.012764],[-70.695809,42.013346],[-70.712204,42.007586],[-70.710034,41.999544],[-70.698981,41.987103],[-70.662476,41.960592],[-70.651673,41.958701],[-70.648365,41.961672],[-70.631251,41.950475],[-70.623513,41.943273],[-70.616491,41.940204],[-70.608166,41.940701],[-70.598078,41.947772],[-70.583572,41.950007],[-70.552941,41.929641],[-70.546386,41.916751],[-70.54741,41.911934],[-70.545949,41.907158],[-70.532084,41.889568],[-70.525567,41.85873],[-70.535487,41.839381],[-70.542065,41.831263],[-70.543168,41.824446],[-70.54103,41.815754],[-70.537289,41.810859],[-70.532656,41.804796],[-70.517411,41.790953],[-70.494048,41.773883],[-70.471552,41.761563],[-70.412476,41.744397],[-70.375341,41.738779],[-70.290957,41.734312],[-70.275203,41.726143],[-70.272289,41.721346],[-70.263654,41.714115],[-70.259205,41.713954],[-70.23485,41.733733],[-70.216073,41.742981],[-70.189254,41.751982],[-70.182076,41.750885],[-70.141533,41.760072],[-70.121978,41.758841],[-70.096061,41.766549],[-70.064314,41.772845],[-70.024734,41.787364],[-70.008462,41.800786],[-70.003842,41.80852],[-70.004486,41.838826],[-70.009013,41.876625],[-70.000188,41.886938],[-70.002922,41.890315],[-70.012154,41.891656],[-70.024335,41.89882],[-70.025553,41.911699],[-70.030537,41.929154],[-70.044995,41.930049],[-70.054464,41.927366],[-70.065671,41.911658],[-70.065723,41.899641],[-70.065372,41.887702],[-70.064084,41.878924],[-70.066002,41.877011],[-70.067566,41.877793],[-70.070889,41.882973],[-70.073039,41.899783],[-70.074006,41.93865],[-70.077421,41.985497],[-70.083775,42.012041],[-70.089578,42.024896],[-70.095595,42.032832],[-70.10806,42.043601],[-70.123043,42.051668],[-70.148294,42.06195],[-70.155415,42.062409],[-70.169781,42.059736],[-70.178468,42.05642],[-70.186816,42.05045],[-70.194456,42.03947],[-70.195345,42.034163],[-70.193074,42.027576],[-70.186295,42.021308],[-70.186708,42.019904],[-70.190834,42.020028],[-70.196693,42.022429],[-70.208016,42.03073],[-70.218701,42.045848],[-70.233256,42.057714],[-70.238875,42.060479],[-70.24354,42.060569],[-70.245385,42.063733],[-70.238087,42.072878],[-70.225626,42.078601],[-70.206899,42.0819],[-70.189305,42.082337],[-70.160166,42.078628],[-70.115968,42.067638],[-70.082624,42.054657],[-70.058531,42.040363],[-70.033501,42.017736],[-70.011898,41.98972],[-69.986085,41.949597],[-69.968598,41.9117],[-69.945314,41.845222],[-69.935952,41.809422],[-69.928652,41.74125],[-69.928261,41.6917],[-69.933114,41.670014],[-69.947599,41.645394],[-69.951169,41.640799],[-69.958272,41.639429],[-69.963234,41.633794],[-69.967869,41.627503],[-69.976478,41.603664],[-69.982768,41.581812],[-69.988215,41.554704],[-69.998071,41.54365],[-70.004136,41.54212],[-70.011504,41.542924],[-70.014456,41.545534],[-70.016584,41.550772],[-70.015059,41.553037],[-70.010644,41.552692],[-70.00153,41.561953],[-69.994357,41.576846],[-69.987192,41.608579],[-69.973035,41.641046],[-69.973153,41.646963],[-69.975719,41.653738],[-69.996359,41.667184],[-70.007011,41.671579],[-70.014211,41.671971],[-70.029346,41.667744],[-70.055523,41.664843],[-70.089238,41.662813],[-70.140877,41.650423],[-70.158621,41.650438],[-70.191061,41.645259],[-70.245867,41.628479],[-70.25621,41.620698],[-70.25542,41.617541],[-70.259601,41.610863],[-70.265424,41.609333],[-70.267587,41.610912],[-70.269687,41.617775],[-70.26913,41.625742],[-70.274522,41.632927],[-70.28132,41.635125],[-70.29062,41.635196],[-70.321588,41.630508],[-70.329924,41.634578],[-70.338067,41.636338],[-70.351634,41.634687],[-70.360352,41.631069],[-70.364892,41.626721],[-70.364744,41.623671],[-70.369854,41.615888],[-70.379151,41.611361],[-70.400581,41.606382],[-70.408535,41.607345],[-70.437246,41.605329],[-70.445289,41.591815],[-70.461278,41.57182],[-70.476256,41.558502],[-70.485571,41.554244],[-70.493244,41.552044],[-70.522327,41.548965],[-70.559689,41.54833],[-70.611081,41.542989],[-70.633607,41.538254],[-70.643627,41.532357],[-70.654104,41.519025],[-70.663856,41.514031],[-70.669518,41.513339],[-70.675379,41.512623],[-70.705181,41.496677],[-70.734306,41.486335],[-70.757171,41.469917],[-70.756481,41.465977],[-70.760863,41.460947],[-70.79027,41.446339],[-70.817478,41.445562],[-70.835867,41.441877],[-70.857528,41.425767],[-70.866946,41.422378],[-70.902763,41.421061],[-70.928197,41.415781],[-70.937282,41.411618],[-70.948431,41.409193],[-70.951045,41.411777],[-70.949861,41.415323],[-70.928165,41.431265],[-70.923698,41.430716],[-70.918983,41.4253],[-70.91164,41.424484],[-70.906011,41.425708],[-70.883247,41.432239],[-70.855265,41.448892],[-70.828546,41.456448],[-70.802186,41.460864],[-70.787769,41.474609],[-70.775268,41.477465],[-70.753905,41.492256],[-70.745053,41.500966],[-70.6948,41.52564],[-70.658659,41.543385],[-70.654302,41.549926],[-70.655365,41.557498],[-70.653899,41.56516],[-70.64878,41.56987],[-70.642748,41.572385],[-70.640948,41.577325],[-70.64204,41.583066],[-70.652449,41.60521],[-70.651986,41.610184],[-70.640003,41.624616],[-70.645251,41.633547],[-70.652614,41.637829],[-70.650419,41.644202],[-70.638695,41.649427],[-70.637632,41.654573],[-70.646308,41.678433],[-70.649285,41.680943],[-70.661475,41.681756],[-70.645962,41.693794],[-70.62544,41.698691],[-70.623652,41.707398],[-70.626529,41.712995],[-70.642914,41.71841],[-70.644641,41.71898],[-70.651093,41.715715],[-70.656596,41.715401],[-70.670453,41.721912],[-70.708193,41.730959],[-70.718739,41.73574],[-70.726331,41.732731],[-70.728933,41.723433],[-70.721302,41.712968],[-70.717451,41.69398],[-70.719575,41.685002],[-70.729395,41.68814],[-70.744396,41.696967],[-70.755347,41.694326],[-70.761481,41.676808],[-70.76236,41.667735],[-70.758198,41.661225],[-70.757622,41.654265],[-70.765463,41.641575],[-70.769318,41.641145],[-70.773654,41.645033],[-70.775798,41.649145],[-70.776709,41.650756],[-70.809118,41.656437],[-70.813286,41.65567],[-70.815729,41.652796],[-70.816351,41.645995],[-70.804664,41.641157],[-70.800215,41.631753],[-70.801063,41.629513],[-70.810279,41.624873],[-70.835296,41.624532],[-70.843177,41.628487],[-70.843522,41.62866],[-70.843528,41.628663],[-70.844165,41.628983],[-70.852518,41.626919],[-70.855031,41.624283],[-70.855162,41.624145],[-70.854232,41.618429],[-70.854211,41.618302],[-70.853445,41.613592],[-70.850181,41.593529],[-70.85222,41.589223],[-70.852488,41.588658],[-70.852551,41.588526],[-70.853121,41.587321],[-70.85324,41.587332],[-70.857239,41.587705],[-70.862852,41.600678],[-70.862998,41.601014],[-70.863486,41.602143],[-70.868501,41.613733],[-70.868904,41.614664],[-70.86836,41.622664],[-70.869624,41.625608],[-70.872665,41.627816],[-70.87904,41.629777],[-70.887643,41.632422],[-70.889209,41.632904],[-70.88926,41.632875],[-70.889594,41.632685],[-70.904513,41.624205],[-70.905765,41.623494],[-70.913202,41.619266],[-70.904522,41.610361],[-70.899981,41.593504],[-70.901381,41.592504],[-70.910814,41.595506],[-70.916581,41.607483],[-70.920074,41.61081],[-70.927172,41.611253],[-70.929722,41.609479],[-70.93,41.600441],[-70.927393,41.594064],[-70.931338,41.5842],[-70.937978,41.577416],[-70.941588,41.581034],[-70.946911,41.581089],[-70.948797,41.579038],[-70.9473,41.573659],[-70.93783,41.565239],[-70.931545,41.540169],[-70.941785,41.540121],[-70.979225,41.530427],[-70.983354,41.520616],[-71.003275,41.511912],[-71.019354,41.508857],[-71.035514,41.499047],[-71.058418,41.505967],[-71.085663,41.509292],[-71.12057,41.497448],[-71.1224,41.522156],[-71.131312,41.592308],[-71.131618,41.593918],[-71.137492,41.602561],[-71.138599,41.60347],[-71.140588,41.605102],[-71.14091,41.607405],[-71.141509,41.616076],[-71.140468,41.623893],[-71.135688,41.628402],[-71.134484,41.641198],[-71.134478,41.641262],[-71.13267,41.658744],[-71.132888,41.660102],[-71.134688,41.660502],[-71.135188,41.660502],[-71.14587,41.662795],[-71.153989,41.664102],[-71.17609,41.668102],[-71.17609,41.668502],[-71.17599,41.671402],[-71.18129,41.672502],[-71.191175,41.674292],[-71.191178,41.674216],[-71.194384,41.674803],[-71.19564,41.67509],[-71.224798,41.710498],[-71.225709,41.711603],[-71.261392,41.752301],[-71.31779,41.776099],[-71.317795,41.776101],[-71.327896,41.780501],[-71.329396,41.7826],[-71.329296,41.7868],[-71.332196,41.7923],[-71.333896,41.7945],[-71.335797,41.7948],[-71.339297,41.7963],[-71.340697,41.7983],[-71.340797,41.8002],[-71.339297,41.8044],[-71.339297,41.8065],[-71.338897,41.8083],[-71.339197,41.809],[-71.347197,41.8231],[-71.344897,41.828],[-71.339597,41.832],[-71.337597,41.8337],[-71.335197,41.8355],[-71.341797,41.8437],[-71.342198,41.8448],[-71.333997,41.8623],[-71.340798,41.8816],[-71.339298,41.893399],[-71.339298,41.893599],[-71.338698,41.898399],[-71.352699,41.896699],[-71.354699,41.896499],[-71.362499,41.895599],[-71.364699,41.895399],[-71.365399,41.895299],[-71.370999,41.894599],[-71.373799,41.894399],[-71.3766,41.893999],[-71.3817,41.893199],[-71.3817,41.922699],[-71.3816,41.922899],[-71.381401,41.964799],[-71.381501,41.966699],[-71.381466,41.984998],[-71.381401,42.018798],[-71.458104,42.017762],[-71.498258,42.01722],[-71.499905,42.017198],[-71.500905,42.017098],[-71.527306,42.015098],[-71.527606,42.014998],[-71.559439,42.014342],[-71.576908,42.014098],[-71.76601,42.009745],[-71.799242,42.008065],[-71.80065,42.023569],[-71.89078,42.024368],[-71.987326,42.02688],[-72.063496,42.027347],[-72.102162,42.028899],[-72.135687,42.030245],[-72.135715,42.030245],[-72.249523,42.031626],[-72.317148,42.031907],[-72.45668,42.033999],[-72.509192,42.034217],[-72.528131,42.034295],[-72.573231,42.030141],[-72.582332,42.024695],[-72.590233,42.024695],[-72.606933,42.024995],[-72.607933,42.030795],[-72.643134,42.032395],[-72.695927,42.036788],[-72.714134,42.036608],[-72.755838,42.036195],[-72.757538,42.033295],[-72.753538,42.032095],[-72.751738,42.030195],[-72.754038,42.025395],[-72.757467,42.020947],[-72.758151,42.020865],[-72.760558,42.021846],[-72.762151,42.021527],[-72.76231,42.019775],[-72.761354,42.018183],[-72.759738,42.016995],[-72.761238,42.014595],[-72.763238,42.012795],[-72.763265,42.009742],[-72.766139,42.007695],[-72.766739,42.002995],[-72.774757,42.002129],[-72.816741,41.997595],[-72.813541,42.036494],[-72.847142,42.036894],[-72.863619,42.037709],[-72.863733,42.03771],[-72.999549,42.038653],[-73.008745,42.03886],[-73.053254,42.039861],[-73.127276,42.041964],[-73.229798,42.044877],[-73.231056,42.044945],[-73.293097,42.04694],[-73.29442,42.046984],[-73.432812,42.050587],[-73.487314,42.049638],[-73.496879,42.049675],[-73.508142,42.086257],[-73.352527,42.510002],[-73.264957,42.74594],[-73.022903,42.741133]]]]},\"properties\":{\"name\":\"Massachusetts\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67b972","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":304266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Sara L.","contributorId":89240,"corporation":false,"usgs":true,"family":"Brandt","given":"Sara","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garabedian, Stephen P.","contributorId":91090,"corporation":false,"usgs":true,"family":"Garabedian","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":304269,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98117,"text":"sim3104 - 2010 - Mineral and Vegetation Maps of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada, Generated from ASTER Satellite Data","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sim3104","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3104","title":"Mineral and Vegetation Maps of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada, Generated from ASTER Satellite Data","docAbstract":"Multispectral remote sensing data acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were analyzed to identify and map minerals, vegetation groups, and volatiles (water and snow) in support of geologic studies of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada. Digital mineral and vegetation mapping results are presented in both portable document format (PDF) and ERDAS Imagine format (.img). The ERDAS-format files are suitable for integration with other geospatial data in Geographic Information Systems (GIS) such as ArcGIS. The ERDAS files showing occurrence of 1) iron-bearing minerals, vegetation, and water, and 2) clay, sulfate, mica, carbonate, Mg-OH, and hydrous quartz minerals have been attributed according to identified material, so that the material detected in a pixel can be queried with the interactive attribute identification tools of GIS and image processing software packages (for example, the Identify Tool of ArcMap and the Inquire Cursor Tool of ERDAS Imagine). \r\n\r\nAll raster data have been orthorectified to the Universal Transverse Mercator (UTM) projection using a projective transform with ground-control points selected from orthorectified Landsat Thematic Mapper data and a digital elevation model from the U.S. Geological Survey (USGS) National Elevation Dataset (1/3 arc second, 10 m resolution).\r\n\r\nMetadata compliant with Federal Geographic Data Committee (FGDC) standards for all ERDAS-format files have been included, and contain important information regarding geographic coordinate systems, attributes, and cross-references. Documentation regarding spectral analysis methodologies employed to make the maps is included in these cross-references.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3104","usgsCitation":"Rockwell, B.W., 2010, Mineral and Vegetation Maps of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada, Generated from ASTER Satellite Data (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3104, Pamphlet: iii, 5 p.; 4 Sheets (each 48 x 36 inches); Downloads Directory, https://doi.org/10.3133/sim3104.","productDescription":"Pamphlet: iii, 5 p.; 4 Sheets (each 48 x 36 inches); Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-08-12","temporalEnd":"2004-06-20","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3104.jpg"},{"id":13357,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3104/","linkFileType":{"id":5,"text":"html"}}],"scale":"62000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.41666666666667,38.083333333333336 ], [ -119.41666666666667,38.5 ], [ -118.5,38.5 ], [ -118.5,38.083333333333336 ], [ -119.41666666666667,38.083333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db6357f3","contributors":{"authors":[{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304220,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70043237,"text":"70043237 - 2010 - Real-time decision support systems: the famine early warning system network","interactions":[],"lastModifiedDate":"2017-03-27T12:13:31","indexId":"70043237","displayToPublicDate":"2010-01-01T15:08:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Real-time decision support systems: the famine early warning system network","docAbstract":"A multi-institutional partnership, the US Agency for International Development’s Famine Early Warning System Network (FEWS NET) provides routine monitoring of climatic, agricultural, market, and socioeconomic conditions in over 20 countries. FEWS NET supports and informs disaster relief decisions that impact millions of people and involve billions of dollars. In this chapter, we focus on some of FEWS NET’s hydrologic monitoring tools, with a specific emphasis on combining “low frequency” and “high frequency” assessment tools. Low frequency assessment tools, tied to water and food balance estimates, enable us to evaluate and map long-term tendencies in food security. High frequency assessments are supported by agrohydrologic models driven by satellite rainfall estimates, such as the Water Requirement Satisfaction Index (WRSI). Focusing on eastern Africa, we suggest that both these high and low frequency approaches are necessary to capture the interaction of slow variations in vulnerability and the relatively rapid onset of climatic shocks.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Satellite rainfall applications for surface hydrology","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"Rijeka, Croatia","doi":"10.1007/978-90-481-2915-7_17","isbn":"9789048129140; 9789048121957","usgsCitation":"Funk, C.C., and Verdin, J.P., 2010, Real-time decision support systems: the famine early warning system network, chap. of Satellite rainfall applications for surface hydrology, p. 295-320, https://doi.org/10.1007/978-90-481-2915-7_17.","productDescription":"26 p.","startPage":"295","endPage":"320","numberOfPages":"26","ipdsId":"IP-012627","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275640,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-90-481-2915-7_17"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2009-09-30","publicationStatus":"PW","scienceBaseUri":"51fa31e6e4b076c3a8d82674","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034240,"text":"70034240 - 2010 - The vegetation outlook (VegOut): a new method for predicting vegetation seasonal greenness","interactions":[],"lastModifiedDate":"2012-12-26T12:25:12","indexId":"70034240","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The vegetation outlook (VegOut): a new method for predicting vegetation seasonal greenness","docAbstract":"The vegetation outlook (VegOut) is a geospatial tool for predicting general vegetation condition patterns across large areas. VegOut predicts a standardized seasonal greenness (SSG) measure, which represents a general indicator of relative vegetation health. VegOut predicts SSG values at multiple time steps (two to six weeks into the future) based on the analysis of \"historical patterns\" (i.e., patterns at each 1 km grid cell and time of the year) of satellite, climate, and oceanic data over an 18-year period (1989 to 2006). The model underlying VegOut capitalizes on historical climate-vegetation interactions and ocean-climate teleconnections (such as El Niño and the Southern Oscillation, ENSO) expressed over the 18-year data record and also considers several environmental characteristics (e.g., land use/cover type and soils) that influence vegetation's response to weather conditions to produce 1 km maps that depict future general vegetation conditions. VegOut provides regionallevel vegetation monitoring capabilities with local-scale information (e.g., county to sub-county level) that can complement more traditional remote sensing-based approaches that monitor \"current\" vegetation conditions. In this paper, the VegOut approach is discussed and a case study over the central United States for selected periods of the 2008 growing season is presented to demonstrate the potential of this new tool for assessing and predicting vegetation conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Bellwether Publishing, Ltd.","publisherLocation":"Columbia, MD","doi":"10.2747/1548-1603.47.1.25","issn":"15481603","usgsCitation":"Tadesse, T., Wardlow, B., Hayes, M., Svoboda, M., and Brown, J., 2010, The vegetation outlook (VegOut): a new method for predicting vegetation seasonal greenness: GIScience and Remote Sensing, v. 47, no. 1, p. 25-52, https://doi.org/10.2747/1548-1603.47.1.25.","productDescription":"28 p.","startPage":"25","endPage":"52","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475891,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.47.1.25","text":"Publisher Index Page"},{"id":244876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216971,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.47.1.25"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505bb1b5e4b08c986b3253b6","contributors":{"authors":[{"text":"Tadesse, T.","contributorId":57661,"corporation":false,"usgs":true,"family":"Tadesse","given":"T.","affiliations":[],"preferred":false,"id":444849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wardlow, B.","contributorId":56863,"corporation":false,"usgs":false,"family":"Wardlow","given":"B.","email":"","affiliations":[{"id":12505,"text":"University of Nebraska - Lincoln","active":true,"usgs":false}],"preferred":false,"id":444848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, M.","contributorId":68138,"corporation":false,"usgs":true,"family":"Hayes","given":"M.","affiliations":[],"preferred":false,"id":444851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, M.","contributorId":74604,"corporation":false,"usgs":true,"family":"Svoboda","given":"M.","email":"","affiliations":[],"preferred":false,"id":444852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, J.","contributorId":57801,"corporation":false,"usgs":true,"family":"Brown","given":"J.","affiliations":[],"preferred":false,"id":444850,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034344,"text":"70034344 - 2010 - Geological mapping goes 3-D in response to societal needs","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034344","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Geological mapping goes 3-D in response to societal needs","docAbstract":"The transition to 3-D mapping has been made possible by technological advances in digital cartography, GIS, data storage, analysis, and visualization. Despite various challenges, technological advancements facilitated a gradual transition from 2-D maps to 2.5-D draped maps to 3-D geological mapping, supported by digital spatial and relational databases that can be interrogated horizontally or vertically and viewed interactively. Challenges associated with data collection, human resources, and information management are daunting due to their resource and training requirements. The exchange of strategies at the workshops has highlighted the use of basin analysis to develop a process-based predictive knowledge framework that facilitates data integration. Three-dimensional geological information meets a public demand that fills in the blanks left by conventional 2-D mapping. Two-dimensional mapping will, however, remain the standard method for extensive areas of complex geology, particularly where deformed igneous and metamorphic rocks defy attempts at 3-D depiction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Today","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GSATG86GW.1","issn":"10525173","usgsCitation":"Thorleifson, H., Berg, R.C., and Russell, H., 2010, Geological mapping goes 3-D in response to societal needs: GSA Today, v. 20, no. 8, p. 27-29, https://doi.org/10.1130/GSATG86GW.1.","startPage":"27","endPage":"29","numberOfPages":"3","costCenters":[],"links":[{"id":216644,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GSATG86GW.1"},{"id":244527,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2277e4b0c8380cd57086","contributors":{"authors":[{"text":"Thorleifson, H.","contributorId":81761,"corporation":false,"usgs":true,"family":"Thorleifson","given":"H.","email":"","affiliations":[],"preferred":false,"id":445328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berg, R. C.","contributorId":11673,"corporation":false,"usgs":true,"family":"Berg","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":445327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, H.A.J.","contributorId":93777,"corporation":false,"usgs":true,"family":"Russell","given":"H.A.J.","email":"","affiliations":[],"preferred":false,"id":445329,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037251,"text":"70037251 - 2010 - The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037251","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","docAbstract":"I analyze the sensitivity of seismic-hazard estimates in the central and eastern United States (CEUS) to maximum magnitude (mmax) by exercising the U.S. Geological Survey (USGS) probabilistic hazard model with several mmax alternatives. Seismicity-based sources control the hazard in most of the CEUS, but data seldom provide an objective basis for estimating mmax. The USGS uses preferred mmax values of moment magnitude 7.0 and 7.5 for the CEUS craton and extended margin, respectively, derived from data in stable continental regions worldwide. Other approaches, for example analysis of local seismicity or judgment about a source's seismogenic potential, often lead to much smaller mmax. Alternative models span the mmax ranges from the 1980s Electric Power Research Institute/Seismicity Owners Group (EPRI/SOG) analysis. Results are presented as haz-ard ratios relative to the USGS national seismic hazard maps. One alternative model specifies mmax equal to moment magnitude 5.0 and 5.5 for the craton and margin, respectively, similar to EPRI/SOG for some sources. For 2% probability of exceedance in 50 years (about 0.0004 annual probability), the strong mmax truncation produces hazard ratios equal to 0.35-0.60 for 0.2-sec spectral acceleration, and 0.15-0.35 for 1.0-sec spectral acceleration. Hazard-controlling earthquakes interact with mmax in complex ways. There is a relatively weak dependence on probability level: hazardratios increase 0-15% for 0.002 annual exceedance probability and decrease 5-25% for 0.00001 annual exceedance probability. Although differences at some sites are tempered when faults are added, mmax clearly accounts for some of the discrepancies that are seen in comparisons between USGS-based and EPRI/SOG-based hazard results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090114","issn":"00371106","usgsCitation":"Mueller, C., 2010, The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 699-711, https://doi.org/10.1785/0120090114.","startPage":"699","endPage":"711","numberOfPages":"13","costCenters":[],"links":[{"id":217256,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090114"},{"id":245187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505bad2ee4b08c986b323a30","contributors":{"authors":[{"text":"Mueller, C.S.","contributorId":45310,"corporation":false,"usgs":true,"family":"Mueller","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":460084,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":79157,"text":"sim2899 - 2010 - Geologic map of Lassen Volcanic National Park and vicinity, California","interactions":[],"lastModifiedDate":"2022-04-14T19:09:33.427847","indexId":"sim2899","displayToPublicDate":"2006-09-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2899","title":"Geologic map of Lassen Volcanic National Park and vicinity, California","docAbstract":"The geologic map of Lassen Volcanic National Park (LVNP) and vicinity encompasses 1,905 km2 at the south end of the Cascade Range in Shasta, Lassen, Tehama, and Plumas Counties, northeastern California (fig. 1, sheet 3). The park includes 430 km2 of scenic volcanic features, glacially sculpted terrain, and the most spectacular array of thermal features in the Cascade Range. Interest in preserving the scenic wonders of the Lassen area as a national park arose in the early 1900s to protect it from commercial development and led to the establishment in 1907 of two small national monuments centered on Lassen Peak and Cinder Cone. The eruptions of Lassen Peak in 1914-15 were the first in the Cascade Range since widespread settling of the West in the late 1800s. Through the printed media, the eruptions aroused considerable public interest and inspired renewed efforts, which had languished since 1907, to establish a national park. In 1916, Lassen Volcanic National Park was established by combining the areas of the previously established national monuments and adjacent lands. The southernmost Cascade Range is bounded on the west by the Sacramento Valley and the Klamath Mountains, on the south by the Sierra Nevada, and on the east by the Basin and Range geologic provinces. Most of the map area is underlain by middle to late Pleistocene volcanic rocks; Holocene, early Pleistocene, and late Pliocene volcanic rocks (<3.5 m.y.) are less common. Paleozoic and Mesozoic rocks are inferred to underlie the volcanic deposits (Jachens and Saltus, 1983), but the nearest exposures of pre-Tertiary rocks are 15 km to the south, 9 km to the southwest, and 12 km to the west. Diller (1895) recognized the young volcanic geology and produced the first geologic map of the Lassen area. The map (sheet 1) builds on and extends geologic mapping by Williams (1932), Macdonald (1963, 1964, 1965), and Wilson (1961). The Lassen Peak area mapped by Christiansen and others (2002) and published in greater detail (1:24,000) was modified for inclusion here. Figure 2 (sheet 3) shows the mapping credit for previous work; figure 3 (sheet 3) shows locations discussed throughout the text. A CD-ROM entitled Database for the Geologic Map of Lassen Volcanic National Park and Vicinity, California accompanies the printed map (Muffler and others, 2010). The CD-ROM contains ESRI compatible geographic information system data files used to create the 1:50,000-scale geologic map, both geologic and topographic data and their associated metadata files, and printable versions of the geologic map and pamphlet as PDF formatted files. The 1:50,000-scale geologic map was compiled from 1:24,000-scale geologic maps of individual quadrangles that are also included in the CD-ROM. It also contains ancillary data that support the map including locations of rock samples selected for chemical analysis (Clynne and others, 2008) and radiometric dating, photographs of geologic features, and links to related data or web sites. Data contained in the CD-ROM are also available on this Web site. The southernmost Cascade Range consists of a regional platform of basalt and basaltic andesite, with subordinate andesite and sparse dacite. Nested within these regional rocks are 'volcanic centers', defined as large, long-lived, composite, calc-alkaline edifices erupting the full range of compositions from basalt to rhyolite, but dominated by andesite and dacite. Volcanic centers are produced by the focusing of basaltic flux from the mantle and resultant enhanced interaction of mafic magma with the crust. Collectively, volcanic centers mark the axis of the southernmost Cascade Range. The map area includes the entire Lassen Volcanic Center, parts of three older volcanic centers (Maidu, Dittmar, and Latour), and the products of regional volcanism (fig. 4, sheet 3). Terminology used for subdivision of the Lassen Volcanic Center has been modified from Clynne (1984, 1990).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim2899","usgsCitation":"Clynne, M.A., and Muffler, L.P., 2010, Geologic map of Lassen Volcanic National Park and vicinity, California: U.S. Geological Survey Scientific Investigations Map 2899, Report: iii, 95 p.; 3 Sheets: 58.00 × 42.00 inches or smaller; Database, https://doi.org/10.3133/sim2899.","productDescription":"Report: iii, 95 p.; 3 Sheets: 58.00 × 42.00 inches or smaller; Database","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":438843,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N23XJ6","text":"USGS data release","linkHelpText":"Database for the geologic map of Lassen Volcanic National Park and vicinity, California"},{"id":115898,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_2899.gif"},{"id":398747,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94720.htm"},{"id":14411,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2899/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","projection":"Lambert Conformal Conic projection","country":"United States","state":"California","otherGeospatial":"Lassen Volcanic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.75,\n 40.3333\n ],\n [\n -121.125,\n 40.3333\n ],\n [\n -121.125,\n 40.6667\n ],\n [\n -121.75,\n 40.6667\n ],\n [\n -121.75,\n 40.3333\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a867b","contributors":{"authors":[{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":289245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muffler, L.J. Patrick","contributorId":72739,"corporation":false,"usgs":false,"family":"Muffler","given":"L.J.","email":"","middleInitial":"Patrick","affiliations":[],"preferred":false,"id":289246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003852,"text":"70003852 - 2009 - Effects of experimental protocol on global vegetation model accuracy: a comparison of simulated and observed vegetation patterns for Asia","interactions":[],"lastModifiedDate":"2012-02-02T00:15:53","indexId":"70003852","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Effects of experimental protocol on global vegetation model accuracy: a comparison of simulated and observed vegetation patterns for Asia","docAbstract":"Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO2 concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO2 concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO2 concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Tang, G., Shafer, S., Barlein, P.J., and Holman, J.O., 2009, Effects of experimental protocol on global vegetation model accuracy: a comparison of simulated and observed vegetation patterns for Asia: Ecological Modelling, v. 220, no. 12, p. 1481-1491.","productDescription":"11 p.","startPage":"1481","endPage":"1491","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":204002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":91768,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0304380009001999","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Asia","volume":"220","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2fe4b07f02db615b08","contributors":{"authors":[{"text":"Tang, Guoping","contributorId":31891,"corporation":false,"usgs":true,"family":"Tang","given":"Guoping","email":"","affiliations":[],"preferred":false,"id":349151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":349152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlein, Patrick J.","contributorId":75262,"corporation":false,"usgs":true,"family":"Barlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holman, Justin O.","contributorId":58384,"corporation":false,"usgs":true,"family":"Holman","given":"Justin","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":349153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98257,"text":"ds450 - 2009 - ATM Coastal Topography-Mississippi, 2001","interactions":[],"lastModifiedDate":"2023-12-07T15:33:31.911265","indexId":"ds450","displayToPublicDate":"2010-03-10T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"450","title":"ATM Coastal Topography-Mississippi, 2001","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Mississippi coastline, from Lakeshore to Petit Bois Island, acquired September 9-10, 2001. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative scanning lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first-surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds450","usgsCitation":"Nayegandhi, A., Yates, X., Brock, J., Sallenger, A., Klipp, E.S., and Wright, C.W., 2009, ATM Coastal Topography-Mississippi, 2001: U.S. Geological Survey Data Series 450, HTML Document; DVD, https://doi.org/10.3133/ds450.","productDescription":"HTML Document; DVD","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2001-09-09","temporalEnd":"2001-09-10","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423296,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97203.htm","linkFileType":{"id":5,"text":"html"}},{"id":13509,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/450/","linkFileType":{"id":5,"text":"html"}},{"id":197557,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.39262188759464,\n 30.379338801808117\n ],\n [\n -89.40899667844795,\n 30.379338801808117\n ],\n [\n -89.40899667844795,\n 30.21978663661288\n ],\n [\n -88.39262188759464,\n 30.21978663661288\n ],\n [\n -88.39262188759464,\n 30.379338801808117\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a44dc","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304833,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98232,"text":"ds388 - 2009 - EAARL Topography-Vicksburg National Military Park 2007: First Surface","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ds388","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"388","title":"EAARL Topography-Vicksburg National Military Park 2007: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first-surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Vicksburg National Military Park in Mississippi, acquired on September 12, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds388","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Segura, M., and Yates, X., 2009, EAARL Topography-Vicksburg National Military Park 2007: First Surface: U.S. Geological Survey Data Series 388, 1 DVD, https://doi.org/10.3133/ds388.","productDescription":"1 DVD","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13493,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/388/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a56e4b07f02db62d8c2","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":304737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304738,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98247,"text":"ds447 - 2009 - EAARL Coastal Topography-Assateague Island National Seashore, 2008: Bare Earth","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ds447","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"447","title":"EAARL Coastal Topography-Assateague Island National Seashore, 2008: Bare Earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Assateague Island National Seashore in Maryland and Virginia, acquired March 24-25, 2008. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL) was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for pre-survey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds447","usgsCitation":"Bonisteel, J.M., Nayegandhi, A., Brock, J., Wright, C.W., Stevens, S., Yates, X., and Klipp, E.S., 2009, EAARL Coastal Topography-Assateague Island National Seashore, 2008: Bare Earth: U.S. Geological Survey Data Series 447, DVD, https://doi.org/10.3133/ds447.","productDescription":"DVD","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13500,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/447/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.41666666666667,37.833333333333336 ], [ -75.41666666666667,38.333333333333336 ], [ -75.08333333333333,38.333333333333336 ], [ -75.08333333333333,37.833333333333336 ], [ -75.41666666666667,37.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f447","contributors":{"authors":[{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":304786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304781,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98246,"text":"ds446 - 2009 - EAARL Coastal Topography-Assateague Island National Seashore, 2008: First Surface","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ds446","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"446","title":"EAARL Coastal Topography-Assateague Island National Seashore, 2008: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Assateague Island National Seashore in Maryland and Virginia, acquired March 24-25, 2008. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for pre-survey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds446","usgsCitation":"Bonisteel, J.M., Nayegandhi, A., Brock, J., Wright, C.W., Stevens, S., Yates, X., and Klipp, E.S., 2009, EAARL Coastal Topography-Assateague Island National Seashore, 2008: First Surface: U.S. Geological Survey Data Series 446, DVD, https://doi.org/10.3133/ds446.","productDescription":"DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196967,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13499,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/446/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.4,37.833333333333336 ], [ -75.4,38.333333333333336 ], [ -75.08333333333333,38.333333333333336 ], [ -75.08333333333333,37.833333333333336 ], [ -75.4,37.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f36d","contributors":{"authors":[{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":304779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304774,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98245,"text":"ds431 - 2009 - ATM Coastal Topography-Florida 2001: Eastern Panhandle","interactions":[],"lastModifiedDate":"2023-12-07T15:37:48.794291","indexId":"ds431","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"431","title":"ATM Coastal Topography-Florida 2001: Eastern Panhandle","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the eastern Florida panhandle coastline, acquired October 2, 2001. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative scanning Lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning Lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds431","usgsCitation":"Yates, X., Nayegandhi, A., Brock, J., Sallenger, A., Bonisteel, J.M., Klipp, E.S., and Wright, C.W., 2009, ATM Coastal Topography-Florida 2001: Eastern Panhandle: U.S. Geological Survey Data Series 431, HTML Document, https://doi.org/10.3133/ds431.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423297,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97316.htm","linkFileType":{"id":5,"text":"html"}},{"id":13498,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/431/","linkFileType":{"id":5,"text":"html"}},{"id":196900,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.7389,\n 30.125\n ],\n [\n -85.7389,\n 29.5917\n ],\n [\n -84.3292,\n 29.5917\n ],\n [\n -84.3292,\n 30.125\n ],\n [\n -85.7389,\n 30.125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a481a","contributors":{"authors":[{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304770,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98244,"text":"ds430 - 2009 - ATM coastal topography-Florida 2001: Western Panhandle","interactions":[],"lastModifiedDate":"2023-12-06T15:08:27.464513","indexId":"ds430","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"430","title":"ATM coastal topography-Florida 2001: Western Panhandle","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the western Florida panhandle coastline, acquired October 2-4 and 7-10, 2001. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative scanning Lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning Lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds430","usgsCitation":"Yates, X., Nayegandhi, A., Brock, J., Sallenger, A., Bonisteel, J.M., Klipp, E.S., and Wright, C.W., 2009, ATM coastal topography-Florida 2001: Western Panhandle: U.S. Geological Survey Data Series 430, HTML Document, https://doi.org/10.3133/ds430.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423272,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97317.htm","linkFileType":{"id":5,"text":"html"}},{"id":13497,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/430/","linkFileType":{"id":5,"text":"html"}},{"id":196832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Western Panhandle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5167,\n 29.9833\n ],\n [\n -87.5167,\n 30.5333\n ],\n [\n -85.7,\n 30.5333\n ],\n [\n -85.7,\n 29.9833\n ],\n [\n -87.5167,\n 29.9833\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a4391","contributors":{"authors":[{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304763,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98248,"text":"ds448 - 2009 - ATM Coastal Topography-Texas, 2001: UTM Zone 14","interactions":[],"lastModifiedDate":"2023-12-07T15:48:49.968184","indexId":"ds448","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"448","title":"ATM Coastal Topography-Texas, 2001: UTM Zone 14","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Texas coastline within UTM zone 14, acquired October 12-13, 2001. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative scanning lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first-surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds448","usgsCitation":"Klipp, E.S., Nayegandhi, A., Brock, J., Sallenger, A., Bonisteel, J.M., Yates, X., and Wright, C.W., 2009, ATM Coastal Topography-Texas, 2001: UTM Zone 14: U.S. Geological Survey Data Series 448, HTML Document; DVD, https://doi.org/10.3133/ds448.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423299,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97205.htm","linkFileType":{"id":5,"text":"html"}},{"id":13501,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/448/","linkFileType":{"id":5,"text":"html"}},{"id":197381,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.1511,\n 28.5933\n ],\n [\n -97.1511,\n 27.715\n ],\n [\n -96,\n 27.715\n ],\n [\n -96,\n 28.5933\n ],\n [\n -97.1511,\n 28.5933\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a4774","contributors":{"authors":[{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304791,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98243,"text":"ds418 - 2009 - ATM Coastal Topography-Alabama 2001","interactions":[],"lastModifiedDate":"2023-12-07T15:53:25.287134","indexId":"ds418","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"418","title":"ATM Coastal Topography-Alabama 2001","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Alabama coastline, acquired October 3-4, 2001. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative scanning Lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning Lidar system that measures high-resolution topography of the land surface, and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for pre-survey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds418","usgsCitation":"Nayegandhi, A., Yates, X., Brock, J., Sallenger, A., Bonisteel, J.M., Klipp, E.S., and Wright, C.W., 2009, ATM Coastal Topography-Alabama 2001: U.S. Geological Survey Data Series 418, HTML Document; DVD, https://doi.org/10.3133/ds418.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":13496,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/418/","linkFileType":{"id":5,"text":"html"}},{"id":196901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":423300,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97322.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.3393,\n 30.2967\n ],\n [\n -88.3393,\n 30.2133\n ],\n [\n -87.5,\n 30.2133\n ],\n [\n -87.5,\n 30.2967\n ],\n [\n -88.3393,\n 30.2967\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a4786","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304756,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98234,"text":"ds417 - 2009 - EAARL Coastal Topography-Pearl River Delta 2008: First Surface","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ds417","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"417","title":"EAARL Coastal Topography-Pearl River Delta 2008: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the University of New Orleans (UNO), Pontchartrain Institute for Environmental Sciences (PIES), New Orleans, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Pearl River Delta in Louisiana and Mississippi, acquired March 9-11, 2008. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds417","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Miner, M.D., Michael, D., Yates, X., and Bonisteel, J.M., 2009, EAARL Coastal Topography-Pearl River Delta 2008: First Surface: U.S. Geological Survey Data Series 417, DVD, https://doi.org/10.3133/ds417.","productDescription":"DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":196831,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13495,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/417/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.83333333333333,30.05 ], [ -89.83333333333333,30.266666666666666 ], [ -89.41666666666667,30.266666666666666 ], [ -89.41666666666667,30.05 ], [ -89.83333333333333,30.05 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db6971b0","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miner, Michael D.","contributorId":94405,"corporation":false,"usgs":true,"family":"Miner","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":304750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michael, D.","contributorId":94406,"corporation":false,"usgs":true,"family":"Michael","given":"D.","email":"","affiliations":[],"preferred":false,"id":304751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304746,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98249,"text":"ds449 - 2009 - ATM Coastal Topography-Texas, 2001: UTM Zone 15","interactions":[],"lastModifiedDate":"2023-12-07T15:45:03.118664","indexId":"ds449","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"449","title":"ATM Coastal Topography-Texas, 2001: UTM Zone 15","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Texas coastline within UTM zone 15, from Matagorda Peninsula to Galveston Island, acquired October 12-13, 2001. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative scanning lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first-surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds449","usgsCitation":"Klipp, E.S., Nayegandhi, A., Brock, J., Sallenger, A., Bonisteel, J.M., Yates, X., and Wright, C.W., 2009, ATM Coastal Topography-Texas, 2001: UTM Zone 15: U.S. Geological Survey Data Series 449, HTML Document; DVD, https://doi.org/10.3133/ds449.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423298,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97225.htm","linkFileType":{"id":5,"text":"html"}},{"id":13502,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/449/","linkFileType":{"id":5,"text":"html"}},{"id":197469,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.75,\n 28.5861\n ],\n [\n -94.75,\n 29.3228\n ],\n [\n -96,\n 29.3228\n ],\n [\n -96,\n 28.5861\n ],\n [\n -94.75,\n 28.5861\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a4779","contributors":{"authors":[{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304798,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98233,"text":"ds416 - 2009 - EAARL Coastal Topography-Pearl River Delta 2008: Bare Earth","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ds416","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"416","title":"EAARL Coastal Topography-Pearl River Delta 2008: Bare Earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the University of New Orleans (UNO), Pontchartrain Institute for Environmental Sciences (PIES), New Orleans, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Pearl River Delta in Louisiana and Mississippi, acquired March 9-11, 2008. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds416","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Miner, M.D., Yates, X., and Bonisteel, J.M., 2009, EAARL Coastal Topography-Pearl River Delta 2008: Bare Earth: U.S. Geological Survey Data Series 416, DVD, https://doi.org/10.3133/ds416.","productDescription":"DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13494,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/416/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.83333333333333,30.05 ], [ -89.83333333333333,30.266666666666666 ], [ -89.41666666666667,30.266666666666666 ], [ -89.41666666666667,30.05 ], [ -89.83333333333333,30.05 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f1bd","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miner, Michael D.","contributorId":94405,"corporation":false,"usgs":true,"family":"Miner","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":304744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304740,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98128,"text":"ds465 - 2009 - ATM Coastal Topography - Louisiana, 2001: UTM Zone 16 (Part 2 of 2)","interactions":[],"lastModifiedDate":"2023-12-07T14:55:43.612491","indexId":"ds465","displayToPublicDate":"2010-01-19T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"465","title":"ATM Coastal Topography - Louisiana, 2001: UTM Zone 16 (Part 2 of 2)","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Louisiana coastline beach face within UTM Zone 16, from Grand Isle to the Chandeleur Islands, acquired September 7 and 9, 2001. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative scanning lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first-surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds465","usgsCitation":"Yates, X., Nayegandhi, A., Brock, J., Sallenger, A., Klipp, E.S., and Wright, C.W., 2009, ATM Coastal Topography - Louisiana, 2001: UTM Zone 16 (Part 2 of 2): U.S. Geological Survey Data Series 465, HTML Document; DVD-ROM, https://doi.org/10.3133/ds465.","productDescription":"HTML Document; DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2001-09-07","temporalEnd":"2001-09-09","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":13367,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/465/","linkFileType":{"id":5,"text":"html"}},{"id":125641,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_465.jpg"},{"id":423294,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97202.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.98346754311137,\n 30.071841541761785\n ],\n [\n -89.98346754311137,\n 29.197416296987143\n ],\n [\n -88.8222884468944,\n 29.197416296987143\n ],\n [\n -88.8222884468944,\n 30.071841541761785\n ],\n [\n -89.98346754311137,\n 30.071841541761785\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a478c","contributors":{"authors":[{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":304260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}