{"pageNumber":"45","pageRowStart":"1100","pageSize":"25","recordCount":1869,"records":[{"id":70182546,"text":"70182546 - 2006 - Remotely sensed data available from the US Geological Survey EROS Data Center","interactions":[],"lastModifiedDate":"2017-03-27T11:10:09","indexId":"70182546","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Remotely sensed data available from the US Geological Survey EROS Data Center","docAbstract":"

The Center for Earth Resources Observation Systems (EROS) is a field center of the geography discipline within the US geological survey (USGS) of the Department of the Interior. The EROS Data Center (EDC) was established in the early 1970s as the nation’s principal archive of remotely sensed data. Initially the EDC was responsible for the archive, reproduction, and distribution of black-and-white and color-infrared aerial photography acquired under numerous mapping programs conducted by various Federal agencies including the USGS, Department of Agriculture, Environmental Protection Agency, and NASA. The EDC was also designated the central archive for data acquired by the first satellite sensor designed for broad-scale earth observations in support of civilian agency needs for earth resource information. A four-band multispectral scanner (MSS) and a return-beam vidicon (RBV) camera were initially flown on the Earth Resources Technology Satellite-1, subsequently designated Landsat-1. The synoptic coverage, moderate spatial resolution, and multi-spectral view provided by these data stimulated scientists with an unprecedented perspective from which to study the Earth’s surface and to understand the relationships between human activity and natural systems.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earth science satellite remote sensing— Data, computational processing, and tools","language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany ","usgsCitation":"Dwyer, J.L., 2006, Remotely sensed data available from the US Geological Survey EROS Data Center, chap. of Earth science satellite remote sensing— Data, computational processing, and tools, p. 18-51.","productDescription":"32 p. ","startPage":"18","endPage":"51","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b1543fe4b01ccd54fc5ebd","contributors":{"editors":[{"text":"Qu, J.J.","contributorId":182468,"corporation":false,"usgs":false,"family":"Qu","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":671525,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gao, W.","contributorId":42031,"corporation":false,"usgs":true,"family":"Gao","given":"W.","email":"","affiliations":[],"preferred":false,"id":671526,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kafatos, M.","contributorId":23753,"corporation":false,"usgs":true,"family":"Kafatos","given":"M.","email":"","affiliations":[],"preferred":false,"id":671527,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Murphy, R.E.","contributorId":182469,"corporation":false,"usgs":false,"family":"Murphy","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":671528,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Salomonson, V.V.","contributorId":61968,"corporation":false,"usgs":true,"family":"Salomonson","given":"V.V.","email":"","affiliations":[],"preferred":false,"id":671529,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Dwyer, John L. 0000-0002-8281-0896","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":6136,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":671524,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70028710,"text":"70028710 - 2006 - Cross-calibration of A.M. constellation sensors for long term monitoring of land surface processes","interactions":[],"lastModifiedDate":"2022-05-18T15:32:10.299664","indexId":"70028710","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cross-calibration of A.M. constellation sensors for long term monitoring of land surface processes","docAbstract":"Data from multiple sensors must be used together to gain a more complete understanding of land surface processes at a variety of scales. Although higher-level products derived from different sensors (e.g., vegetation cover, albedo, surface temperature) can be validated independently, the degree to which these sensors and their products can be compared to one another is vastly improved if their relative spectro-radiometric responses are known. Most often, sensors are directly calibrated to diffuse solar irradiation or vicariously to ground targets. However, space-based targets are not traceable to metrological standards, and vicarious calibrations are expensive and provide a poor sampling of a sensor's full dynamic range. Cross-calibration of two sensors can augment these methods if certain conditions can be met: (1) the spectral responses are similar, (2) the observations are reasonably concurrent (similar atmospheric & solar illumination conditions), (3) errors due to misregistrations of inhomogeneous surfaces can be minimized (including scale differences), and (4) the viewing geometry is similar (or, some reasonable knowledge of surface bi-directional reflectance distribution functions is available). This study extends on a previous study of Terra/MODIS and Landsat/ETM+ cross calibration by including the Terra/ASTER and EO-1/ALI sensors, exploring the impacts of cross-calibrating sensors when conditions described above are met to some degree but not perfectly. Measures for spectral response differences and methods for cross calibrating such sensors are provided in this study. These instruments are cross calibrated using the Railroad Valley playa in Nevada. Best fit linear coefficients (slope and offset) are provided for ALI-to-MODIS and ETM+-to-MODIS cross calibrations, and root-mean-squared errors (RMSEs) and correlation coefficients are provided to quantify the uncertainty in these relationships. Due to problems with direct calibration of ASTER data, linear fits were developed between ASTER and ETM+ to assess the impacts of spectral bandpass differences between the two systems. In theory, the linear fits and uncertainties can be used to compare radiance and reflectance products derived from each instrument.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications","conferenceDate":"November 13-16, 2006","conferenceLocation":"Goa, India","language":"English","doi":"10.1117/12.694127","usgsCitation":"Meyer, D., and Chander, G., 2006, Cross-calibration of A.M. constellation sensors for long term monitoring of land surface processes, in Proceedings of SPIE - The International Society for Optical Engineering, v. 6405, Goa, India, November 13-16, 2006, 64050Z, https://doi.org/10.1117/12.694127.","productDescription":"64050Z","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":236542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6405","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcc0e4b0c8380cd4e3f7","contributors":{"authors":[{"text":"Meyer, D.","contributorId":31131,"corporation":false,"usgs":true,"family":"Meyer","given":"D.","affiliations":[],"preferred":false,"id":419375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":419376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70028501,"text":"70028501 - 2006 - The use of landsat 7 enhanced thematic mapper plus for mapping leafy spurge","interactions":[],"lastModifiedDate":"2012-03-12T17:20:58","indexId":"70028501","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"The use of landsat 7 enhanced thematic mapper plus for mapping leafy spurge","docAbstract":"Euphorbia esula L. (leafy spurge) is an invasive weed that is a major problem in much of the Upper Great Plains region, including parts of Montana, South Dakota, North Dakota, Nebraska, and Wyoming. Infestations in North Dakota alone have had a serious economic impact, estimated at $87 million annually in 1991, to the state's wildlife, tourism, and agricultural economy. Leafy spurge degrades prairie and badland ecosystems by displacing native grasses and forbs. It is a major threat to protected ecosystems in many national parks, national wild lands, and state recreational areas in the region. This study explores the use of Landsat 7 Enhanced Thematic Mapper Plus (Landsat) imagery and derived products as a management tool for mapping leafy spurge in Theodore Roosevelt National Park, in southwestern North Dakota. An unsupervised clustering approach was used to map leafy spurge classes and resulted in overall classification accuracies of approximately 63%. The uses of Landsat imagery did not provide the accuracy required for detailed mapping of small patches of the weed. However, it demonstrated the potential for mapping broad-scale (regional) leafy spurge occurrence. This paper offers recommendations on the suitability of Landsat imagery as a tool for use by resource managers to map and monitor leafy spurge populations over large areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2111/06-027R1.1","issn":"15507424","usgsCitation":"Mladinich, C., Bustos, M., Stitt, S., Root, R., Brown, K., Anderson, G., and Hager, S., 2006, The use of landsat 7 enhanced thematic mapper plus for mapping leafy spurge: Rangeland Ecology and Management, v. 59, no. 5, p. 500-506, https://doi.org/10.2111/06-027R1.1.","startPage":"500","endPage":"506","numberOfPages":"7","costCenters":[],"links":[{"id":477513,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2111/06-027r1.1","text":"Publisher Index Page"},{"id":209755,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/06-027R1.1"},{"id":236459,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb18ae4b08c986b32532a","contributors":{"authors":[{"text":"Mladinich, C.S.","contributorId":61095,"corporation":false,"usgs":true,"family":"Mladinich","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":418347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bustos, M.R.","contributorId":6646,"corporation":false,"usgs":true,"family":"Bustos","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":418341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stitt, S.","contributorId":21746,"corporation":false,"usgs":true,"family":"Stitt","given":"S.","email":"","affiliations":[],"preferred":false,"id":418342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Root, R.","contributorId":24433,"corporation":false,"usgs":true,"family":"Root","given":"R.","email":"","affiliations":[],"preferred":false,"id":418343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, K.","contributorId":49166,"corporation":false,"usgs":true,"family":"Brown","given":"K.","affiliations":[],"preferred":false,"id":418345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, G.L.","contributorId":56430,"corporation":false,"usgs":true,"family":"Anderson","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":418346,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hager, S.","contributorId":24980,"corporation":false,"usgs":true,"family":"Hager","given":"S.","email":"","affiliations":[],"preferred":false,"id":418344,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":77491,"text":"i2600A - 2006 - Coastal-change and glaciological map of the Trinity Peninsula area and south Shetland Islands, Antarctica: 1843-2001: Chapter A in Coastal-change and glaciological maps of Antarctica","interactions":[],"lastModifiedDate":"2018-03-23T14:52:55","indexId":"i2600A","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","chapter":"A","title":"Coastal-change and glaciological map of the Trinity Peninsula area and south Shetland Islands, Antarctica: 1843-2001: Chapter A in Coastal-change and glaciological maps of Antarctica","docAbstract":"

Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level could severely impact the densely populated coastal regions on Earth. Melting of the West Antarctic part alone of the Antarctic ice sheet would cause a sea-level rise of approximately 6 meters (m). The potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). In addition to its importance, the mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is highly complex, responding differently to different conditions in each region (Vaughan, 2005). In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic ice sheet is probably becoming thinner overall; although it is thickening in the west, it is thinning in the north. Thomas and others (2004), on the basis of aircraft and satellite laser altimetry surveys, believe the thinning may be accelerating. Joughin and Tulaczyk (2002), on the basis of analysis of ice-flow velocities derived from synthetic aperture radar, concluded that most of the Ross ice streams (ice streams on the east side of the Ross Ice Shelf) have a positive mass balance, whereas Rignot and others (2004) infer even larger negative mass balance for glaciers flowing northward into the Amundsen Sea, a trend suggested by Swithinbank and others (2003a,b, 2004). The mass balance of the East Antarctic ice sheet is thought by Davis and others (2005) to be strongly positive on the basis of the change in satellite altimetry measurements made between 1992 and 2003.

\n
\n

Measurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) [and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+)], RADARSAT images, and other data where available, to compare changes that occurred during a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps (I–2600) consisting of 23 maps at 1:1,000,000 scale and 1 map at 1:5,000,000 scale, in both paper and digital format (Williams and others, 1995; Williams and Ferrigno, 1998; Ferrigno and others, 2002).

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coastal-change and glaciological maps of Antarctica","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/i2600A","isbn":"0607964421","collaboration":"This report is Chapter A in Coastal-change and glaciological maps of Antarctica. For more information, see: IMAP 2600. Prepared in cooperation with the British Antarctic Survey, Scott Polar Research Institute, and Bundesamt für Kartographie und Geodäsie","usgsCitation":"Ferrigno, J.G., Cook, A.J., Foley, K.M., Williams, R., Swithinbank, C., Fox, A.J., Thomson, J.W., and Sievers, J., 2006, Coastal-change and glaciological map of the Trinity Peninsula area and south Shetland Islands, Antarctica: 1843-2001: Chapter A in Coastal-change and glaciological maps of Antarctica: U.S. Geological Survey IMAP 2600, 1 Plate: 45.00 x 28.00 inches; Pamphlet: iv, 32 p., https://doi.org/10.3133/i2600A.","productDescription":"1 Plate: 45.00 x 28.00 inches; Pamphlet: iv, 32 p.","numberOfPages":"36","temporalStart":"1842-12-31","temporalEnd":"2001-12-31","costCenters":[{"id":181,"text":"Coastal Change and Glaciological Maps of Antarctica","active":false,"usgs":true}],"links":[{"id":191198,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9417,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/A/","linkFileType":{"id":5,"text":"html"}},{"id":295719,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/imap/2600/A/pdf/TrinityCoast.pdf"},{"id":295720,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2600/A/pdf/I2600-A-pamphlet.pdf"}],"scale":"1000000","projection":"Polar stereographic projection","otherGeospatial":"Antarctica, South Shetland Islands, Trinity Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67,-65 ], [ -67,-60 ], [ -52,-60 ], [ -52,-65 ], [ -67,-65 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea19","contributors":{"authors":[{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":288586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Alison J.","contributorId":42665,"corporation":false,"usgs":true,"family":"Cook","given":"Alison","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":288583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":288589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swithinbank, Charles","contributorId":26368,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","email":"","affiliations":[],"preferred":false,"id":288584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, Adrian J.","contributorId":68413,"corporation":false,"usgs":true,"family":"Fox","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288588,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomson, Janet W.","contributorId":32212,"corporation":false,"usgs":true,"family":"Thomson","given":"Janet","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":288585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sievers, Jorn","contributorId":101753,"corporation":false,"usgs":true,"family":"Sievers","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":288590,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70121225,"text":"70121225 - No Year - Constraining rates and trends of historical wetland loss, Mississippi River Delta Plain, south-central Louisiana","interactions":[],"lastModifiedDate":"2019-06-03T15:01:17","indexId":"70121225","displayToPublicDate":"2006-01-01T10:11:00","publicationYear":"2006","noYear":true,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Constraining rates and trends of historical wetland loss, Mississippi River Delta Plain, south-central Louisiana","docAbstract":"

The timing, magnitude, and rate of wetland loss were described for five wetland-loss \nhotspots in the Terrebonne Basin of the Mississippi River delta plain. Land and water areas \nwere mapped for 34 dates between 1956 and 2004 from historical National Wetlands \nInventory (NWI) datasets, aerial photographs, and Landsat Thematic Mapper (TM) satellite \nimages. Since 1956, the emergent land area at the five study areas in south-central Louisiana \nhas decreased by about 50%. Comparison of the water-area curve derived from the 29 TM \nimages with water-level records from the nearby Grand Isle, Louisiana tide gauge (NOS \n#8761724) clearly shows that changes in land and water areas fluctuate in response to \nvariations in regional water levels. The magnitude of water-area fluctuations decreased from \nthe 1980s to the 1990s as former areas of wet marsh within and immediately adjacent to the \nwetland-loss hotspots became permanently submerged. The most rapid wetland loss \noccurred during the late 1960s and 1970s. Peak wetland-loss rates during this period were \ntwo to four times greater than both the pre-1970s background rates and the most recent \nwetland-loss rates. These results provide constraints on predicting future delta-plain wetland \nlosses and identify Landsat TM imagery as an important source for analyzing land- and \nwater-area changes across the entire delta plain.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal environment and water quality: proceedings of the AIH 25th Anniversary Meeting & International Conference \"Challenges in Coastal Hyrology and Water Quality\"","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Resource Publications","publisherLocation":"Highlands Ranch, CO","usgsCitation":"Bernier, J., Morton, R., and Barras, J., 2006, Constraining rates and trends of historical wetland loss, Mississippi River Delta Plain, south-central Louisiana, in Coastal environment and water quality: proceedings of the AIH 25th Anniversary Meeting & International Conference \"Challenges in Coastal Hyrology and Water Quality\", p. 371-382.","productDescription":"12 p.","startPage":"371","endPage":"382","numberOfPages":"12","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":292614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292613,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.er.usgs.gov/gc-subsidence/historical-wetland-loss.html"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.25,29.0 ], [ -91.25,29.5 ], [ -89.75,29.5 ], [ -89.75,29.0 ], [ -91.25,29.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f5b64ce4b09d12e0e8e673","contributors":{"authors":[{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":498825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":498826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":498824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037974,"text":"70037974 - 2005 - Elevations and Distances","interactions":[],"lastModifiedDate":"2014-05-05T09:41:54","indexId":"70037974","displayToPublicDate":"2012-04-06T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":362,"text":"General Information Product","active":false,"publicationSubtype":{"id":6}},"title":"Elevations and Distances","docAbstract":"Photographs and other images of the Earth taken from the air and from space show a great deal about the planet's landforms, vegetation, and resources. Aerial and satellite images, known as remotely sensed images, permit accurate mapping of land cover and make landscape features understandable on regional, continental, and even global scales. Transient phenomena, such as seasonal vegetation vigor and contaminant discharges, can be studied by comparing images acquired at different times. The U.S. Geological Survey (USGS), which began using aerial photographs for mapping in the 1930's, archives photographs from its mapping projects and from those of some other Federal agencies. In addition, many images from such space programs as Landsat, begun in 1972, are held by the USGS. Most satellite scenes can be obtained only in digital form for use in computer-based image processing and geographic information systems, but in some cases are also available as photographic products.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70037974","collaboration":"Archived Publication--Most of the information contained in this publication is no longer current and is not expected to be updated.","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, Elevations and Distances: General Information Product, HTML Document, https://doi.org/10.3133/70037974.","productDescription":"HTML Document","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":254451,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70037974.gif"},{"id":254445,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/Elevations-Distances/","linkFileType":{"id":5,"text":"html"}},{"id":286857,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/Elevations-Distances/elvadist.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a08cfe4b0c8380cd51ca8","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535174,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80120,"text":"fs20053105 - 2005 - The AmericaView Project - Putting the Earth into Your Hands","interactions":[],"lastModifiedDate":"2012-02-02T00:14:14","indexId":"fs20053105","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3105","title":"The AmericaView Project - Putting the Earth into Your Hands","docAbstract":"The U.S. Geological Survey (USGS) is a leader in collecting, archiving, and distributing geospatial data and information about the Earth. Providing quick, reliable access to remotely sensed images and geospatial data is the driving principle behind the AmericaView Project.\r\n\r\nA national not-for-profit organization, AmericaView, Inc. was established and is supported by the USGS to coordinate the activities of a national network of university-led consortia with the primary objective of the advancement of the science of remote sensing. Individual consortia members include academic institutions, as well as state, local, and tribal government agencies. AmericaView's focus is to expand the understanding and use of remote sensing through education and outreach efforts and to provide affordable, integrated remote sensing information access and delivery to the American public.\r\n\r\nUSGS's Landsat and NASA's Earth Observing System (EOS) satellite data are downlinked from satellites or transferred from other facilities to the USGS Center for Earth Resources Observation and Science (EROS) ground receiving station in Sioux Falls, South Dakota. The data can then be transferred over high-speed networks to consortium members, where it is archived and made available for public use.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053105","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, The AmericaView Project - Putting the Earth into Your Hands: U.S. Geological Survey Fact Sheet 2005-3105, 1 p., https://doi.org/10.3133/fs20053105.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122404,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2005/3105/report-thumb.jpg"},{"id":91222,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3105/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683410","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534867,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80125,"text":"fs20053118 - 2005 - Global Visualization (GloVis) Viewer","interactions":[],"lastModifiedDate":"2012-02-02T00:14:06","indexId":"fs20053118","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3118","title":"Global Visualization (GloVis) Viewer","docAbstract":"GloVis (http://glovis.usgs.gov) is a browse image-based search and order tool that can be used to quickly review the land remote sensing data inventories held at the U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS). GloVis was funded by the AmericaView project to reduce the difficulty of identifying and acquiring data for user-defined study areas.\r\n\r\nUpdated daily with the most recent satellite acquisitions, GloVis displays data in a mosaic, allowing users to select any area of interest worldwide and immediately view all available browse images for the following Landsat data sets: Multispectral Scanner (MSS), Multi-Resolution Land Characteristics (MRLC), Orthorectified, Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and ETM+ Scan Line Corrector-off (SLC-off). Other data sets include Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS), Aqua MODIS, and the Earth Observing-1 (EO-1) Advanced Land Imager (ALI) and Hyperion data.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053118","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, Global Visualization (GloVis) Viewer: U.S. Geological Survey Fact Sheet 2005-3118, 1 p., https://doi.org/10.3133/fs20053118.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2005/3118/report-thumb.jpg"},{"id":91226,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3118/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abee4b07f02db674c36","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80129,"text":"fs20053075 - 2005 - USGS Releases Landsat Orthorectified State Mosaics","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"fs20053075","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3075","title":"USGS Releases Landsat Orthorectified State Mosaics","docAbstract":"The U.S. Geological Survey (USGS) National Remote Sensing Data Archive, located at the USGS Center for Earth Resources Observation and Science (EROS) in Sioux Falls, South Dakota, maintains the Landsat orthorectified data archive. Within the archive are Landsat Enhanced Thematic Mapper Plus (ETM+) data that have been pansharpened and orthorectified by the Earth Satellite Corporation. This imagery has acquisition dates ranging from 1999 to 2001 and was created to provide users with access to quality-screened, high-resolution satellite images with global coverage over the Earth's landmasses.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053075","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, USGS Releases Landsat Orthorectified State Mosaics: U.S. Geological Survey Fact Sheet 2005-3075, 2 p., https://doi.org/10.3133/fs20053075.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122412,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2005/3075/report-thumb.jpg"},{"id":91230,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3075/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db6114f0","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534872,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":75993,"text":"fs20053130 - 2005 - Landsat: A global land-observing program","interactions":[{"subject":{"id":75993,"text":"fs20053130 - 2005 - Landsat: A global land-observing program","indexId":"fs20053130","publicationYear":"2005","noYear":false,"title":"Landsat: A global land-observing program"},"predicate":"SUPERSEDED_BY","object":{"id":98375,"text":"fs20103026 - 2010 - Landsat: A Global Land-Imaging Project","indexId":"fs20103026","publicationYear":"2010","noYear":false,"title":"Landsat: A Global Land-Imaging Project"},"id":1}],"supersededBy":{"id":98375,"text":"fs20103026 - 2010 - Landsat: A Global Land-Imaging Project","indexId":"fs20103026","publicationYear":"2010","noYear":false,"title":"Landsat: A Global Land-Imaging Project"},"lastModifiedDate":"2017-03-27T15:36:50","indexId":"fs20053130","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3130","title":"Landsat: A global land-observing program","docAbstract":"

Landsat represents the world’s longest continuously acquired collection of space-based land remote sensing data. The Landsat Project is a joint initiative of the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) designed to gather Earth resource data from space. NASA developed and launched the spacecrafts, while the USGS handles the operations, maintenance, and management of all ground data reception, processing, archiving, product generation, and distribution.

Landsat satellites have been collecting images of the Earth’s surface for more than thirty years. Landsat’s Global Survey Mission is to repeatedly capture images of the Earth’s land mass, coastal boundaries, and coral reefs, and to ensure that sufficient data are acquired to support the observation of changes on the Earth’s land surface and surrounding environment. NASA launched the first Landsat satellite in 1972, and the most recent one, Landsat 7, in 1999. Landsats 5 and 7 continue to capture hundreds of additional images of the Earth’s surface each day. These images provide a valuable resource for people who work

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20053130","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, Landsat: A global land-observing program (Supersedes FS 023-03): U.S. Geological Survey Fact Sheet 2005-3130, 4 p., https://doi.org/10.3133/fs20053130.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":7090,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3130/FS-2005-3130.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":121345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3130.jpg"},{"id":115897,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3130/","linkFileType":{"id":5,"text":"html"}}],"edition":"Supersedes FS 023-03","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abb33","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534773,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":75213,"text":"ofr20051445 - 2005 - Digital method for regional mapping of surficial basin deposits in arid regions, example from central Death Valley, Inyo County, California","interactions":[],"lastModifiedDate":"2022-11-22T22:25:37.934105","indexId":"ofr20051445","displayToPublicDate":"2006-03-07T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1445","title":"Digital method for regional mapping of surficial basin deposits in arid regions, example from central Death Valley, Inyo County, California","docAbstract":"

Derivative maps generated from DEM's and panchromatic remote sensing data (TM Landsat 7 or SPOT) can be used to characterize surficial basin deposits in arid regions dominated by basin and range topography. Results indicate the technique is useful for rapid digital mapping of surficial deposits where a first order, systematic subdivision of bedrock, alluvial fan units, and playas is unavailable at regional scales. Digital mapping can provide information about relative age and material properties of units that in part can be derived from the position of units within the basin. This automated mapping, implemented in a GIS system, involves an iterative process applied to a combination of digital elevation models (DEM) and satellite image data, such as SPOT or the high-resolution panchromatic Band 8 of Landsat 7 scenes.

The method first discriminates the region into first-order terrains consisting of bedrock mountain highlands, basin piedmonts, and playa-basin interiors based on user-defined slope cutoffs applied to DEM data. The basin areas are subsequently classified into surficial map units such as active channels, ground-water discharge zones, and multiple age alluvial-fan piedmont units based on reflective properties of the associated surfaces in the satellite imagery. The surficial units are differentiated through systematic classification based on specific user-defined ranges of spectral values for each unit. The spectral ranges used in the classification are largely dependent on the composite effects of surface characteristics and material properties, including depositional morphology and texture, pavement development, degree of surface clast varnishing, and (or) properties of exposed soils of the alluvial fan units. We have used the slope-curvature properties derived from the DEM data to discriminate the bajada areas that exhibit non-unique spectral characteristics. Slope curvature is particularly effective at differentiating young undissected surfaces from older dissected piedmont units.

Available geologic maps and field observations may be used both to iteratively calibrate the spectral classification scheme and to provide additional verification of the digital map output. Digital mapping combined with detailed field studies in selected areas provides useful regional maps of surficial units until time and funding is available for more field intensive studies. In addition, anomalous areas on the thematic maps indicate where more detailed field or air photo work is warranted. The technique successfully distinguishes between bedrock, alluvial fans (generally multiple fan units), active washes, playas, playa rimming marshes and seeps and other active and inactive discharge zones in arid basin and mountain regions. Limitations occur in the subdivision of some fan units where the dominant detrital clast lithologies are not susceptible to varnish development.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051445","usgsCitation":"Jayko, A.S., Menges, C., and Thompson, R.A., 2005, Digital method for regional mapping of surficial basin deposits in arid regions, example from central Death Valley, Inyo County, California (Version 1.0): U.S. Geological Survey Open-File Report 2005-1445, 43 p., https://doi.org/10.3133/ofr20051445.","productDescription":"43 p.","numberOfPages":"43","costCenters":[],"links":[{"id":191393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":409557,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_75055.htm","linkFileType":{"id":5,"text":"html"}},{"id":7633,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1445/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Inyo County","otherGeospatial":"central Death Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117,\n 36.5\n ],\n [\n -117,\n 36\n ],\n [\n -116,\n 36\n ],\n [\n -116,\n 36.5\n ],\n [\n -117,\n 36.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65aba0","contributors":{"authors":[{"text":"Jayko, A. S. 0000-0002-7378-0330","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":18011,"corporation":false,"usgs":true,"family":"Jayko","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":286828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Menges, C.M.","contributorId":71200,"corporation":false,"usgs":false,"family":"Menges","given":"C.M.","affiliations":[],"preferred":false,"id":286829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, R. A.","contributorId":100420,"corporation":false,"usgs":true,"family":"Thompson","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":286830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":74503,"text":"fs20053060 - 2005 - Earth Observing-1 Extended Mission","interactions":[{"subject":{"id":47840,"text":"fs03203 - 2003 - Earth Observing-1 Extended Mission","indexId":"fs03203","publicationYear":"2003","noYear":false,"title":"Earth Observing-1 Extended Mission"},"predicate":"SUPERSEDED_BY","object":{"id":74503,"text":"fs20053060 - 2005 - Earth Observing-1 Extended Mission","indexId":"fs20053060","publicationYear":"2005","noYear":false,"title":"Earth Observing-1 Extended Mission"},"id":1}],"lastModifiedDate":"2012-02-27T14:10:03","indexId":"fs20053060","displayToPublicDate":"2006-02-19T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3060","title":"Earth Observing-1 Extended Mission","docAbstract":"Since November 2000, the National Aeronautics and Space Administration (NASA) Earth Observing-1 (EO-1) mission has demonstrated the capabilities of a dozen spacecraft sensor and communication innovations. Onboard the EO-1 spacecraft are two land remote sensing instruments. The Advanced Land Imager (ALI) acquires data in spectral bands and at resolutions similar to Landsat. The Hyperion instrument, which is the first civilian spaceborne hyperspectral imager, acquires data in 220 10-nanometer bands covering the visible, near, and shortwave-infrared bands. The initial one-year technology demonstration phase of the mission included a detailed comparison of ALI with the Landsat Enhanced Thematic Mapper Plus (ETM+) instrument. Specifications for the Operational Land Imager (OLI), the planned successor to ETM+, were formulated in part from performance characteristics of ALI.\n\nRecognizing the remarkable performance of the satellite's instruments and the exceptional value of the data, the U.S. Geological Survey (USGS) and NASA agreed in December 2001 to share responsibility for operating EO-1. The extended mission continues, on a cost-reimbursable basis, as long as customer sales fully recover flight and ground operations costs. As of May 2005, more than 17,800 scenes from each instrument have been acquired, indexed, archived, and made available to the public.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053060","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, Earth Observing-1 Extended Mission: U.S. Geological Survey Fact Sheet 2005-3060, 2 p., https://doi.org/10.3133/fs20053060.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":124441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3060.jpg"},{"id":115894,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3060/","linkFileType":{"id":5,"text":"html"}},{"id":7575,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3060/fs2005-3060.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62aa42","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534768,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":72803,"text":"ofr20051371 - 2005 - Aerial gamma-ray, Landsat TM, and digital elevation data, Big Bend area, Texas","interactions":[],"lastModifiedDate":"2022-01-26T21:40:32.288849","indexId":"ofr20051371","displayToPublicDate":"2006-01-02T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1371","title":"Aerial gamma-ray, Landsat TM, and digital elevation data, Big Bend area, Texas","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051371","usgsCitation":"Duval, J.S., 2005, Aerial gamma-ray, Landsat TM, and digital elevation data, Big Bend area, Texas: U.S. Geological Survey Open-File Report 2005-1371, HTML Document, https://doi.org/10.3133/ofr20051371.","productDescription":"HTML Document","costCenters":[],"links":[{"id":191717,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":394921,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74492.htm"},{"id":7400,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1371/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.74664306640625,\n 28.9913248161703\n ],\n [\n -102.89794921875,\n 28.9913248161703\n ],\n [\n -102.89794921875,\n 29.76914573606667\n ],\n [\n -103.74664306640625,\n 29.76914573606667\n ],\n [\n -103.74664306640625,\n 28.9913248161703\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b03e4b07f02db698e60","contributors":{"authors":[{"text":"Duval, Joseph S.","contributorId":22314,"corporation":false,"usgs":true,"family":"Duval","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":286132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259127,"text":"70259127 - 2005 - Landsat 7 scan line corrector-off gap-filled product development","interactions":[],"lastModifiedDate":"2024-09-27T16:23:06.366893","indexId":"70259127","displayToPublicDate":"2005-12-01T11:16:42","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 7 scan line corrector-off gap-filled product development","docAbstract":"

The Landsat 7 Enhanced Thematic Mapper Plus (ETM+) scan line corrector (SLC) failed on May 31, 2003, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. The ETM+ has continued to acquire data with the SLC powered off, leading to images that are missing approximately 22 percent of the normal scene area. To improve the utility of the SLC-off data, the U.S. Geological Survey (USGS) developed new products that use the data from multiple ETM+ scenes to provide complete ground coverage. These gap-filled products were developed and deployed in two phases. The gaps in the Phase I products are filled with data from imagery collected previously with a functional SLC (SLC-on). A single SLC-on scene provides complete coverage of the scan gaps, making the gap-filling procedure straightforward. Several radiometric adjustment techniques for matching the SLC-on fill scene to the SLC-off primary scene were evaluated for performance, processing speed, and ease of implementation. A simple local histogram matching method was adopted as a result of this evaluation. The Phase II products use data from multiple SLC-off scenes to fill the scan gaps with more recent data. Because the locations of the scan gaps are different for each SLC-off scene, the gap-filling process must account for scan gap interactions. The Phase II product development included a more comprehensive study of candidate radiometric adjustment techniques. This study showed that the histogram matching method used in Phase I, with minor refinements, provided the best overall performance and was adopted for Phase II as well.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global priorities in land remote sensing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 16th","conferenceDate":"October 23-27, 2005","conferenceLocation":"Sioux Falls, SD","language":"English","publisher":"ASPRS","usgsCitation":"Storey, J.C., Scaramuzza, P., Schmidt, G.L., and Barsi, J., 2005, Landsat 7 scan line corrector-off gap-filled product development, in Global priorities in land remote sensing, Sioux Falls, SD, October 23-27, 2005, 13 p.","productDescription":"13 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462345,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pasquale 0000-0002-2616-8456","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":344596,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pasquale","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":914268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155970,"text":"70155970 - 2005 - Monitoring boreal forest leaf area index across a Siberian burn chronosequence: A MODIS validation study","interactions":[],"lastModifiedDate":"2021-02-09T12:47:39.093671","indexId":"70155970","displayToPublicDate":"2005-12-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring boreal forest leaf area index across a Siberian burn chronosequence: A MODIS validation study","docAbstract":"

Landscapes containing differing amounts of ecological disturbance provide an excellent opportunity to validate and better understand the emerging Moderate Resolution Imaging Spectrometer (MODIS) vegetation products. Four sites, including 1‐year post‐fire coniferous, 13‐year post‐fire deciduous, 24‐year post‐fire deciduous, and >100 year old post‐fire coniferous forests, were selected to serve as a post‐fire chronosequence in the central Siberian region of Krasnoyarsk (57.3°N, 91.6°E) with which to study the MODIS leaf area index (LAI) and vegetation index (VI) products. The collection 4 MODIS LAI product correctly represented the summer site phenologies, but significantly underestimated the LAI value of the >100 year old coniferous forest during the November to April time period. Landsat 7‐derived enhanced vegetation index (EVI) performed better than normalized difference vegetation index (NDVI) to separate the deciduous and conifer forests, and both indices contained significant correlation with field‐derived LAI values at coniferous forest sites (r 2 = 0.61 and r 2 = 0.69, respectively). The reduced simple ratio (RSR) markedly improved LAI prediction from satellite measurements (r 2 = 0.89) relative to NDVI and EVI. LAI estimates derived from ETM+ images were scaled up to evaluate the 1 km resolution MODIS LAI product; from this analysis MODIS LAI overestimated values in the low LAI deciduous forests (where LAI<5) and underestimated values in the high LAI conifer forests (where LAI>6). Our results indicate that further research on the MODIS LAI product is warranted to better understand and improve remote LAI quantification in disturbed forest landscapes over the course of the year.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160500285142","usgsCitation":"Chen, X., Vierling, L., Deering, D., and Conley, A., 2005, Monitoring boreal forest leaf area index across a Siberian burn chronosequence: A MODIS validation study: International Journal of Remote Sensing, v. 26, no. 24, p. 5433-5451, https://doi.org/10.1080/01431160500285142.","productDescription":"19 p.","startPage":"5433","endPage":"5451","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Krasnoyarsk Kray","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 92.61749267578125,\n 55.90457539720638\n ],\n [\n 92.61749267578125,\n 56.12259144921196\n ],\n [\n 93.1475830078125,\n 56.12259144921196\n ],\n [\n 93.1475830078125,\n 55.90457539720638\n ],\n [\n 92.61749267578125,\n 55.90457539720638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"24","noUsgsAuthors":false,"publicationDate":"2007-02-22","publicationStatus":"PW","scienceBaseUri":"57fe90b7e4b0824b2d14bfc3","contributors":{"authors":[{"text":"Chen, X.","contributorId":76527,"corporation":false,"usgs":true,"family":"Chen","given":"X.","affiliations":[],"preferred":false,"id":567472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vierling, Lee","contributorId":17022,"corporation":false,"usgs":true,"family":"Vierling","given":"Lee","affiliations":[],"preferred":false,"id":567473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deering, D.","contributorId":69352,"corporation":false,"usgs":true,"family":"Deering","given":"D.","email":"","affiliations":[],"preferred":false,"id":567474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conley, A.","contributorId":146334,"corporation":false,"usgs":false,"family":"Conley","given":"A.","email":"","affiliations":[],"preferred":false,"id":567475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":72640,"text":"i2600D - 2005 - Coastal-change and glaciological map of the Ronne Ice Shelf area, Antarctica, 1974-2002","interactions":[],"lastModifiedDate":"2012-02-10T00:11:37","indexId":"i2600D","displayToPublicDate":"2005-10-21T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","chapter":"D","title":"Coastal-change and glaciological map of the Ronne Ice Shelf area, Antarctica, 1974-2002","docAbstract":"Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level may severely impact the densely populated coastal regions on Earth. Melting of the West Antarctic part alone of the Antarctic ice sheet could cause a sea-level rise of approximately 6 meters (m). The potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). In spite of its importance, the mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is poorly known; it is not known for certain whether the ice sheet is growing or shrinking. In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic part of the Antarctic ice sheet is probably becoming thinner overall; although it is thickening in the west, it is thinning in the north. Joughin and Tulaczyk (2002), on the basis of analysis of ice-flow velocities derived from synthetic aperture radar, concluded that most of the Ross ice streams (ice streams on the east side of the Ross Ice Shelf) have a positive mass balance, whereas Rignot and others (in press) infer even larger negative mass balance for glaciers flowing northward into the Amundsen Sea, a trend suggested by Swithinbank and others (2003a,b, 2004). The mass balance of the East Antarctic part of the Antarctic ice sheet is unknown, but thought to be in near equilibrium.\r\n\r\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Pro-grams. On the basis of these recommendations, the U.S. Geo-logical Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Ant-arctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) (and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+)), RADARSAT images, and other data where available, to compare changes during a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps (I-2600) consisting of 23 maps at 1:1,000,000 scale and 1 map at 1:5,000,000 scale, in both paper and digital format (Williams and others, 1995; Williams and Ferrigno, 1998; Ferrigno and others, 2002) (available online at http://www.glaciers.er.usgs.gov).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coastal-change and glaciological maps of Antarctica","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/i2600D","isbn":"0607964413","usgsCitation":"Ferrigno, J.G., Foley, K., Swithinbank, C., Williams, R., and Dalide, L., 2005, Coastal-change and glaciological map of the Ronne Ice Shelf area, Antarctica, 1974-2002 (Version 1.0): U.S. Geological Survey IMAP 2600, 1 map : col. ; 48 x 56 in. (115 x 100 cm.), on sheet 142 x 104 cm., folded in envelope to 29 x 21 cm. + 1 pamphlet (11 p. : map; 28 cm.), https://doi.org/10.3133/i2600D.","productDescription":"1 map : col. ; 48 x 56 in. (115 x 100 cm.), on sheet 142 x 104 cm., folded in envelope to 29 x 21 cm. + 1 pamphlet (11 p. : map; 28 cm.)","additionalOnlineFiles":"Y","temporalStart":"1974-01-01","temporalEnd":"2002-12-31","costCenters":[],"links":[{"id":192602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8347,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/D/","linkFileType":{"id":5,"text":"html"}},{"id":8348,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/imap/2600/D/ronne.met.txt","linkFileType":{"id":2,"text":"txt"}},{"id":8349,"rank":9999,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/imap/2600/D/i2600d.zip"},{"id":8350,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2600/D/i2600d-pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"1000000","projection":"Polar stereographic, MSL","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,-84 ], [ -90,-74 ], [ -45,-74 ], [ -45,-84 ], [ -90,-84 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae9fd","contributors":{"authors":[{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":285787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, K.M.","contributorId":41846,"corporation":false,"usgs":true,"family":"Foley","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":285788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swithinbank, C.","contributorId":47036,"corporation":false,"usgs":true,"family":"Swithinbank","given":"C.","affiliations":[],"preferred":false,"id":285790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, R.S. Jr.","contributorId":46102,"corporation":false,"usgs":true,"family":"Williams","given":"R.S.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":285789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dalide, L.M.","contributorId":8188,"corporation":false,"usgs":true,"family":"Dalide","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":285786,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273103,"text":"70273103 - 2005 - Vegetation mapping for change detection on an arid-zone river","interactions":[],"lastModifiedDate":"2025-12-15T17:00:26.608306","indexId":"70273103","displayToPublicDate":"2005-10-01T10:52:47","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation mapping for change detection on an arid-zone river","docAbstract":"

A vegetation mapping system for change detection was tested at the Havasu National Wildlife Refuge (HNWR) on the Lower Colorado River. A low-cost, aerial photomosaic of the 4200 ha, study area was constructed utilizing an automated digital camera system, supplemented with oblique photographs to aid in determining species composition and plant heights. Ground-truth plots showed high accuracy in distinguishing native cottonwood (Populus fremontii) and willow (Salix gooddingii) trees from other vegetation on aerial photos. Marsh vegetation (mainly cattails, Typha domengensis) was also easily identified. However, shrubby terrestrial vegetation, consisting of saltcedar (Tamarix ramosissima), arrowweed (Pluchea sericea), and mesquite trees (Prosopis spp.), could not be accurately distinguished from each other and were combined into a single shrub layer on the final vegetation map. The final map took the form of a base, shrub and marsh layer, which was displayed as a Normalized Difference Vegetation Index map from a Landsat Enhanced Thematic Mapper (ETM+) image to show vegetation intensity. Native willow and cottonwood trees were digitized manually on the photomosaic and overlain on the shrub layer in a GIS. By contrast to present, qualitative mapping systems used on the Lower Colorado River, this mapping system provides quantitative information that can be used for accurate change detection. However, better methods to distinguish between saltcedar, mesquite, and arrowweed are needed to map the shrub layer.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-005-6285-y","usgsCitation":"Nagler, P., Glenn, E., Hursh, K., Curtin, C., and Huete, A., 2005, Vegetation mapping for change detection on an arid-zone river: Environmental Monitoring and Assessment, v. 109, p. 255-274, https://doi.org/10.1007/s10661-005-6285-y.","productDescription":"20 p.","startPage":"255","endPage":"274","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":952319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":952320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hursh, Kim","contributorId":364200,"corporation":false,"usgs":false,"family":"Hursh","given":"Kim","affiliations":[],"preferred":false,"id":952321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtin, Charles","contributorId":167142,"corporation":false,"usgs":false,"family":"Curtin","given":"Charles","email":"","affiliations":[],"preferred":false,"id":952322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huete, Alfredo","contributorId":211930,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","affiliations":[{"id":38362,"text":"University of Technology, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":952323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258651,"text":"70258651 - 2005 - Outgassing models for Landsat-4 thematic mapper short wave infrared bands","interactions":[],"lastModifiedDate":"2024-09-19T16:40:13.44745","indexId":"70258651","displayToPublicDate":"2005-08-22T11:35:38","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Outgassing models for Landsat-4 thematic mapper short wave infrared bands","docAbstract":"

Detector responses to the Internal Calibrator (IC) pulses in the Landsat-4 Thematic Mapper (TM) have been observed to follow an oscillatory behavior. This phenomenon is present only in the Short Wave Infrared (SWIR) bands and has been observed throughout the lifetime of the instrument, which was launched in July 1982 and imaged the Earth's surface until late 1993. These periodic changes in amplitude, which can be as large as 7.5 percent, are known as outgassing effects and are believed to be due to optical interference caused by a gradual buildup of an ice-like material on the window of the cryogenically cooled dewar containing the SWIR detectors. Similar outgassing effects in the Landsat-5 TM have been characterized using an optical thin-film model that relates detector behavior to the ice film growth rate, which was found to gradually decrease with time. A similar approach, which takes into consideration the different operational history of the instrument, has been applied in this study to three closely sampled data sets acquired throughout the lifetime of the Landsat-4 TM. Although Landsat-4 and Landsat-5 Thematic Mappers are essentially identical instruments, data generated from analyses of outgassing effects indicate subtle, but important, differences between the two. The estimated lifetime model could improve radiometric accuracy by as much as five percent.

","conferenceTitle":"Optics and Photonics 2005: Earth Observing Systems X","conferenceDate":"July 31-August 4, 2005","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.620160","usgsCitation":"Micijevic, E., and Helder, D., 2005, Outgassing models for Landsat-4 thematic mapper short wave infrared bands, Optics and Photonics 2005: Earth Observing Systems X, v. 5882, San Diego, CA, July 31-August 4, 2005, 588208, 11 p., https://doi.org/10.1117/12.620160.","productDescription":"588208, 11 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":439157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5882","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":913557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":213606,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":913558,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70258392,"text":"70258392 - 2005 - Landsat-4 and Landsat-5 thematic mapper band 6 historical performance and calibration","interactions":[],"lastModifiedDate":"2024-09-16T16:13:35.633671","indexId":"70258392","displayToPublicDate":"2005-08-22T11:04:28","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-4 and Landsat-5 thematic mapper band 6 historical performance and calibration","docAbstract":"

Launched in 1982 and 1984 respectively, the Landsat-4 and -5 Thematic Mappers (TM) are the backbone of an extensive archive of moderate resolution Earth imagery. However, these sensors and their data products were not subjected to the type of intensive monitoring that has been part of the Landsat-7 system since its launch in 1999. With Landsat-4's 11 year and Landsat-5's 20+ year data record, there is a need to understand the historical behavior of the instruments in order to verify the scientific integrity of the archive and processed products. Performance indicators of the Landsat-4 and -5 thermal bands have recently been extracted from a processing system database allowing for a more complete study of thermal band characteristics and calibration than was previously possible. The database records responses to the internal calibration system, instrument temperatures and applied gains and offsets for each band for every scene processed through the National Landsat Archive Production System (NLAPS). Analysis of this database has allowed for greater understanding of the calibration and improvement in the processing system. This paper will cover the trends in the Landsat-4 and -5 thermal bands, the effect of the changes seen in the trends, and how these trends affect the use of the thermal data.

","conferenceTitle":"Optic and Photonics 2005","conferenceDate":"July 31-Augest 2, 2005","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.619992","usgsCitation":"Barsi, J.A., Chander, G., Markham, B.L., and Higgs, N., 2005, Landsat-4 and Landsat-5 thematic mapper band 6 historical performance and calibration, Optic and Photonics 2005, v. 5882, San Diego, CA, July 31-Augest 2, 2005, 588206, https://doi.org/10.1117/12.619992.","productDescription":"588206","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":434784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5882","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":913178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":913179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markham, Brian L. 0000-0002-9612-8169","orcid":"https://orcid.org/0000-0002-9612-8169","contributorId":121488,"corporation":false,"usgs":true,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":913180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgs, Nicholas","contributorId":344206,"corporation":false,"usgs":false,"family":"Higgs","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":913181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156397,"text":"70156397 - 2005 - Land cover mapping of Greater Mesoamerica using MODIS data","interactions":[],"lastModifiedDate":"2015-08-20T15:06:53","indexId":"70156397","displayToPublicDate":"2005-08-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Land cover mapping of Greater Mesoamerica using MODIS data","docAbstract":"

A new land cover database of Greater Mesoamerica has been prepared using moderate resolution imaging spectroradiometer (MODIS, 500 m resolution) satellite data. Daily surface reflectance MODIS data and a suite of ancillary data were used in preparing the database by employing a decision tree classification approach. The new land cover data are an improvement over traditional advanced very high resolution radiometer (AVHRR) based land cover data in terms of both spatial and thematic details. The dominant land cover type in Greater Mesoamerica is forest (39%), followed by shrubland (30%) and cropland (22%). Country analysis shows forest as the dominant land cover type in Belize (62%), Cost Rica (52%), Guatemala (53%), Honduras (56%), Nicaragua (53%), and Panama (48%), cropland as the dominant land cover type in El Salvador (60.5%), and shrubland as the dominant land cover type in Mexico (37%). A three-step approach was used to assess the quality of the classified land cover data: (i) qualitative assessment provided good insight in identifying and correcting gross errors; (ii) correlation analysis of MODIS- and Landsat-derived land cover data revealed strong positive association for forest (r2 = 0.88), shrubland (r2 = 0.75), and cropland (r2 = 0.97) but weak positive association for grassland (r2 = 0.26); and (iii) an error matrix generated using unseen training data provided an overall accuracy of 77.3% with a Kappa coefficient of 0.73608. Overall, MODIS 500 m data and the methodology used were found to be quite useful for broad-scale land cover mapping of Greater Mesoamerica.

","language":"English","publisher":"Canadian Aeronautics and Space Institute","doi":"10.5589/m05-014","usgsCitation":"Giri, C., and Jenkins, C.N., 2005, Land cover mapping of Greater Mesoamerica using MODIS data: Canadian Journal of Remote Sensing, v. 31, no. 4, p. 274-282, https://doi.org/10.5589/m05-014.","productDescription":"9 p.","startPage":"274","endPage":"282","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"55d6fa34e4b0518e3546bc4f","contributors":{"authors":[{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Clinton N.","contributorId":101437,"corporation":false,"usgs":true,"family":"Jenkins","given":"Clinton","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":569025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70725,"text":"fs20053056 - 2005 - Satellite Image Atlas of Glaciers of the World","interactions":[{"subject":{"id":44701,"text":"fs13002 - 2002 - Satellite Image Atlas of Glaciers of the World","indexId":"fs13002","publicationYear":"2002","noYear":false,"title":"Satellite Image Atlas of Glaciers of the World"},"predicate":"SUPERSEDED_BY","object":{"id":70725,"text":"fs20053056 - 2005 - Satellite Image Atlas of Glaciers of the World","indexId":"fs20053056","publicationYear":"2005","noYear":false,"title":"Satellite Image Atlas of Glaciers of the World"},"id":1}],"lastModifiedDate":"2012-02-02T00:13:47","indexId":"fs20053056","displayToPublicDate":"2005-06-21T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3056","title":"Satellite Image Atlas of Glaciers of the World","docAbstract":"In 1978, the USGS began the preparation of the 11-chapter USGS Professional Paper 1386, 'Satellite Image Atlas of Glaciers of the World'. Between 1979 and 1981, optimum satellite images were distributed to a team of 70 scientists, representing 25 nations and 45 institutions, who agreed to author sections of the Professional Paper concerning either a geographic area (chapters B-K) or a glaciological topic (included in Chapter A). The scientists used Landsat 1, 2, and 3 multispectral scanner (MSS) images and Landsat 2 and 3 return beam vidicon (RBV) images to inventory the areal occurrence of glacier ice on our planet within the boundaries of the spacecrafts' coverage (between about 82? north and south latitudes). Some later contributors also used Landsat 4 and 5 MSS and Thematic Mapper, Landsat 7 Enhanced Thematic Mapper-Plus (ETM+), and other satellite images. In addition to analyzing images of a specific geographic area, each author was asked to summarize up-to-date information about the glaciers within each area and compare their present-day areal distribution with reliable historical information (from published maps, reports, and photographs) about their past extent. Because of the limitations of Landsat images for delineating or monitoring small glaciers in some geographic areas (the result of inadequate spatial resolution, lack of suitable seasonal coverage, or absence of coverage), some information on the areal distribution of small glaciers was derived from ancillary sources, including other satellite images. Completion of the atlas will provide an accurate regional inventory of the areal extent of glaciers on our planet during a relatively narrow time interval (1972-1981).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20053056","usgsCitation":"Williams, R., and Ferrigno, J.G., 2005, Satellite Image Atlas of Glaciers of the World (Revised 2008, Supersedes Fact Sheets 130-02, 133-99 & 009-94): U.S. Geological Survey Fact Sheet 2005-3056, 2 p., https://doi.org/10.3133/fs20053056.","productDescription":"2 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3056.jpg"},{"id":6707,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3056/","linkFileType":{"id":5,"text":"html"}}],"edition":"Revised 2008, Supersedes Fact Sheets 130-02, 133-99 & 009-94","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602ac0","contributors":{"authors":[{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":282948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":282947,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70637,"text":"sir20045241 - 2005 - Remote sensing for environmental site screening and watershed evaluation in Utah Mine lands: East Tintic mountains, Oquirrh mountains, and Tushar mountains","interactions":[],"lastModifiedDate":"2022-12-22T20:08:18.850387","indexId":"sir20045241","displayToPublicDate":"2005-06-02T00:00:00","publicationYear":"2005","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":"2004-5241","title":"Remote sensing for environmental site screening and watershed evaluation in Utah Mine lands: East Tintic mountains, Oquirrh mountains, and Tushar mountains","docAbstract":"

Imaging spectroscopy-a powerful remote-sensing tool for mapping subtle variations in the composition of minerals, vegetation, and man-made materials on the Earth's surface-was applied in support of environmental assessments and watershed evaluations in several mining districts in the State of Utah. Three areas were studied through the use of Landsat 7 ETM+ and Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data: (1) the Tintic mining district in the East Tintic Mountains southwest of Provo, (2) the Camp Floyd mining district (including the Mercur mine) and the Stockton (or Rush Valley) mining district in the Oquirrh Mountains south of the Great Salt Lake, and (3) the Tushar Mountains and Antelope Range near Marysvale.

The Landsat 7 ETM+ data were used for initial site screening and the planning of AVIRIS surveys. The AVIRIS data were analyzed to create spectrally defined maps of surface minerals with special emphasis on locating and characterizing rocks and soils with acid-producing potential (APP) and acid-neutralizing potential (ANP). These maps were used by the United States Environmental Protection Agency (USEPA) for three primary purposes: (1) to identify unmined and anthropogenic sources of acid generation in the form of iron sulfide and (or) ferric iron sulfate-bearing minerals such as jarosite and copiapite; (2) to seek evidence for downstream or downwind movement of minerals associated with acid generation, mine waste, and (or) tailings from mines, mill sites, and zones of unmined hydrothermally altered rocks; and (3) to identify carbonate and other acid-buffering minerals that neutralize acidic, potentially metal bearing, solutions and thus mitigate potential environmental effects of acid generation.

Calibrated AVIRIS surface-reflectance data were spectrally analyzed to identify and map selected surface materials. Two maps were produced from each flightline of AVIRIS data: a map of iron-bearing minerals and water having absorption features in the spectral region from 0.35 µm to 1.35 µm and a map of minerals (including clays, sulfates, micas, and carbonates) having absorptions in the spectral region from 1.45 µm to 2.51 µm. Several methods were used to verify the AVIRIS mapping results, including field checking of selected locations with a portable spectrometer, visual inspection of the AVIRIS reflectance spectra, and X-ray diffraction (XRD) analysis of field samples.

The maps of iron-bearing minerals derived from analysis of the visible (VIS) and near-infrared (NIR) regions of the electromagnetic spectrum were shown to be more consistently reliable in indicating the presence of jarosite than were the maps generated from analysis of the short-wave infrared (SWIR) region. When present in abundance, phyllosilicate minerals tend to dominate the SWIR and mask the spectral features of jarosite in that wavelength region. The crystal field absorptions of jarosite in the VIS and NIR spectral regions will commonly be present regardless of whether the Fe-OH absorption feature near 2.27 µm can be detected. For this reason, the VIS and NIR were preferable to the SWIR for the remote spectroscopic identification of jarosite (and other iron-bearing minerals).

Large exposures of unmined hydrothermally altered rocks occur throughout the three study areas. These rocks commonly contain sulfide or sulfate minerals that produce sulfuric acid upon subaerial oxidation. The acid may be introduced into local surface and ground water and thus lower the baseline (that is, the premining) pH for a watershed.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045241","usgsCitation":"Rockwell, B.W., McDougal, R., and Gent, C.A., 2005, Remote sensing for environmental site screening and watershed evaluation in Utah Mine lands: East Tintic mountains, Oquirrh mountains, and Tushar mountains (Version 1.2): U.S. Geological Survey Scientific Investigations Report 2004-5241, Report: viii, 84 p.; Figures, https://doi.org/10.3133/sir20045241.","productDescription":"Report: viii, 84 p.; Figures","costCenters":[],"links":[{"id":410962,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_73988.htm","linkFileType":{"id":5,"text":"html"}},{"id":8924,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2004/5241/sirHist.html","linkFileType":{"id":5,"text":"html"}},{"id":191808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6846,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5241/","linkFileType":{"id":5,"text":"html"}},{"id":7886,"rank":2,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2004/5241/figures.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"East Tintic Mountains, Oquirrh Mountains, Tushar Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.29022483358571,\n 40.93599326796834\n ],\n [\n -113.29022483358571,\n 37.86776389090204\n ],\n [\n -111.17415878264146,\n 37.86776389090204\n ],\n [\n -111.17415878264146,\n 40.93599326796834\n ],\n [\n -113.29022483358571,\n 40.93599326796834\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bf7d","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":282792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDougal, Robert R.","contributorId":53418,"corporation":false,"usgs":true,"family":"McDougal","given":"Robert R.","affiliations":[],"preferred":false,"id":282794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gent, Carol A.","contributorId":40646,"corporation":false,"usgs":true,"family":"Gent","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":282793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70362,"text":"sim2879 - 2005 - Results of land cover change detection analysis in and around Cordillera Azul National Park, Peru","interactions":[],"lastModifiedDate":"2012-02-02T00:13:45","indexId":"sim2879","displayToPublicDate":"2005-04-06T00:00:00","publicationYear":"2005","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":"2879","title":"Results of land cover change detection analysis in and around Cordillera Azul National Park, Peru","docAbstract":"The first product of the Optimizing Design and Management of Protected Areas for Conservation Project is a land cover change detection analysis based on Landsat thematic mapper (TM) and enhanced thematic mapper plus (ETM+) imagery collected at intervals between 1989 and 2002. The goal of this analysis was to quantify and analyze patterns of forest clearing, land conversion, and other disturbances in and around the Cordillera Azul National Park in Peru. After removing clouds and cloud shadows from the imagery using a series of automatic and manual processes, a Tasseled Cap Transformation was used to detect pixels of high reflectance, which were classified as bare ground and areas of likely forest clearing. Results showed a slow but steady increase in cleared ground prior to 1999 and a rapid and increasing conversion rate after that time. The highest concentrations of clearings have spread upward from the western border of the study area on the Huallaga River. To date, most disturbances have taken place in the buffer zone around the park, not within it, but the data show dense clearings occurring closer to the park border each year.","language":"ENGLISH","doi":"10.3133/sim2879","usgsCitation":"Sleeter, B.M., and Halsing, D.L., 2005, Results of land cover change detection analysis in and around Cordillera Azul National Park, Peru: U.S. Geological Survey Scientific Investigations Map 2879, 12 p. pamphlet and 6 sheets, https://doi.org/10.3133/sim2879.","productDescription":"12 p. pamphlet and 6 sheets","costCenters":[],"links":[{"id":186242,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2005/2879/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689e10","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":282277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halsing, David L.","contributorId":35809,"corporation":false,"usgs":true,"family":"Halsing","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":282278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156741,"text":"70156741 - 2005 - Supporting users through integrated retrieval, processing, and distribution systems at the Land Processes Distributed Active Archive Center","interactions":[],"lastModifiedDate":"2018-03-08T10:14:14","indexId":"70156741","displayToPublicDate":"2005-04-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":626,"text":"Acta Astronautica","printIssn":"0094-5765","active":true,"publicationSubtype":{"id":10}},"title":"Supporting users through integrated retrieval, processing, and distribution systems at the Land Processes Distributed Active Archive Center","docAbstract":"

The US Geological Survey's EROS Data Center (EDC) hosts the Land Processes Distributed Active Archive Center (LP DAAC). The LP DAAC supports NASA's Earth Observing System (EOS), which is a series of polar-orbiting and low inclination satellites for long-term global observations of the land surface, biosphere, solid Earth, atmosphere, and oceans. The EOS Data and Information Systems (EOSDIS) was designed to acquire, archive, manage and distribute Earth observation data to the broadest possible user community.

The LP DAAC is one of four DAACs that utilize the EOSDIS Core System (ECS) to manage and archive their data. Since the ECS was originally designed, significant changes have taken place in technology, user expectations, and user requirements. Therefore the LP DAAC has implemented additional systems to meet the evolving needs of scientific users, tailored to an integrated working environment. These systems provide a wide variety of services to improve data access and to enhance data usability through subsampling, reformatting, and reprojection. These systems also support the wide breadth of products that are handled by the LP DAAC.

The LP DAAC is the primary archive for the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data; it is the only facility in the United States that archives, processes, and distributes data from the Advanced Spaceborne Thermal Emission/Reflection Radiometer (ASTER) on NASA's Terra spacecraft; and it is responsible for the archive and distribution of “land products” generated from data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellites.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.actaastro.2004.10.009","usgsCitation":"Kalvelage, T.A., and Willems, J., 2005, Supporting users through integrated retrieval, processing, and distribution systems at the Land Processes Distributed Active Archive Center: Acta Astronautica, v. 56, no. 7, p. 681-687, https://doi.org/10.1016/j.actaastro.2004.10.009.","productDescription":"7 p.","startPage":"681","endPage":"687","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034c3e4b0f42e3d040e4a","contributors":{"authors":[{"text":"Kalvelage, Thomas A. kalvelage@usgs.gov","contributorId":3364,"corporation":false,"usgs":true,"family":"Kalvelage","given":"Thomas","email":"kalvelage@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":570326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willems, Jennifer","contributorId":53578,"corporation":false,"usgs":true,"family":"Willems","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":570327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70027399,"text":"70027399 - 2005 - Landsat-4 and Landsat-5 thematic mapper band 6 historical performance and calibration","interactions":[],"lastModifiedDate":"2012-03-12T17:20:46","indexId":"70027399","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-4 and Landsat-5 thematic mapper band 6 historical performance and calibration","docAbstract":"Launched in 1982 and 1984 respectively, the Landsat-4 and -5 Thematic Mappers (TM) are the backbone of an extensive archive of moderate resolution Earth imagery. However, these sensors and their data products were not subjected to the type of intensive monitoring that has been part of the Landsat-7 system since its launch in 1999. With Landsat-4's 11 year and Landsat-5's 20+ year data record, there is a need to understand the historical behavior of the instruments in order to verify the scientific integrity of the archive and processed products. Performance indicators of the Landsat-4 and -5 thermal bands have recently been extracted from a processing system database allowing for a more complete study of thermal band characteristics and calibration than was previously possible. The database records responses to the internal calibration system, instrument temperatures and applied gains and offsets for each band for every scene processed through the National Landsat Archive Production System (NLAPS). Analysis of this database has allowed for greater understanding of the calibration and improvement in the processing system. This paper will cover the trends in the Landsat-4 and -5 thermal bands, the effect of the changes seen in the trends, and how these trends affect the use of the thermal data.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Earth Observing Systems X","conferenceDate":"31 July 2005 through 2 August 2005","conferenceLocation":"San Diego, CA","language":"English","doi":"10.1117/12.619992","issn":"0277786X","usgsCitation":"Barsi, J., Chander, G., Markham, B.L., and Higgs, N., 2005, Landsat-4 and Landsat-5 thematic mapper band 6 historical performance and calibration, in Proceedings of SPIE - The International Society for Optical Engineering, v. 5882, San Diego, CA, 31 July 2005 through 2 August 2005, p. 1-12, https://doi.org/10.1117/12.619992.","startPage":"1","endPage":"12","numberOfPages":"12","costCenters":[],"links":[{"id":211060,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.619992"},{"id":238224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5882","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43f0e4b0c8380cd666f5","contributors":{"editors":[{"text":"Butler J.J.","contributorId":128408,"corporation":true,"usgs":false,"organization":"Butler J.J.","id":536613,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":413494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":413495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":413497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgs, N.","contributorId":72195,"corporation":false,"usgs":true,"family":"Higgs","given":"N.","email":"","affiliations":[],"preferred":false,"id":413496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}