Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 E. Parham Road
Richmond, VA 23228
Estimation of forest cover change is important for boreal forests, one of the most extensive forested biomes, due to its unique role in global timber stock, carbon sequestration and deposition, and high vulnerability to the effects of global climate change. We used time-series data from the MODerate Resolution Imaging Spectroradiometer (MODIS) to produce annual forest cover loss hotspot maps. These maps were used to assign all blocks (18.5 by 18.5 km) partitioning the boreal biome into strata of high, medium and low likelihood of forest cover loss. A stratified random sample of 118 blocks was interpreted for forest cover and forest cover loss using high spatial resolution Landsat imagery from 2000 and 2005. Area of forest cover gross loss from 2000 to 2005 within the boreal biome is estimated to be 1.63% (standard error 0.10%) of the total biome area, and represents a 4.02% reduction in year 2000 forest cover. The proportion of identified forest cover loss relative to regional forest area is much higher in North America than in Eurasia (5.63% to 3.00%). Of the total forest cover loss identified, 58.9% is attributable to wildfires. The MODIS pan-boreal change hotspot estimates reveal significant increases in forest cover loss due to wildfires in 2002 and 2003, with 2003 being the peak year of loss within the 5-year study period. Overall, the precision of the aggregate forest cover loss estimates derived from the Landsat data and the value of the MODIS-derived map displaying the spatial and temporal patterns of forest loss demonstrate the efficacy of this protocol for operational, cost-effective, and timely biome-wide monitoring of gross forest cover loss.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2008.05.006","issn":"00344257","usgsCitation":"Potapov, P., Hansen, M.C., Stehman, S., Loveland, T., and Pittman, K., 2008, Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss: Remote Sensing of Environment, v. 112, no. 9, p. 3708-3719, https://doi.org/10.1016/j.rse.2008.05.006.","productDescription":"12 p.","startPage":"3708","endPage":"3719","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae76b","contributors":{"authors":[{"text":"Potapov, P.","contributorId":39921,"corporation":false,"usgs":true,"family":"Potapov","given":"P.","email":"","affiliations":[],"preferred":false,"id":344873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Matthew C.","contributorId":192036,"corporation":false,"usgs":false,"family":"Hansen","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false},{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":344874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stehman, S.V.","contributorId":91974,"corporation":false,"usgs":false,"family":"Stehman","given":"S.V.","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":344875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":344876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pittman, K.","contributorId":9384,"corporation":false,"usgs":true,"family":"Pittman","given":"K.","email":"","affiliations":[],"preferred":false,"id":344872,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70000481,"text":"70000481 - 2008 - Use of landsat ETM+ SLC-off segment-based gap-filled imagery for crop type mapping","interactions":[],"lastModifiedDate":"2017-04-03T14:38:53","indexId":"70000481","displayToPublicDate":"2010-09-28T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1753,"text":"Geocarto International","active":true,"publicationSubtype":{"id":10}},"title":"Use of landsat ETM+ SLC-off segment-based gap-filled imagery for crop type mapping","docAbstract":"Failure of the Scan Line Corrector (SLC) on the Landsat ETM+ sensor has had a major impact on many applications that rely on continuous medium resolution imagery to meet their objectives. The United States Department of Agriculture (USDA) Cropland Data Layer (CDL) program uses Landsat imagery as the primary source of data to produce crop-specific maps for 20 states in the USA. A new method has been developed to fill the image gaps resulting from the SLC failure to support the needs of Landsat users who require coincident spectral data, such as for crop type mapping and monitoring. We tested the new gap-filled method for a CDL crop type mapping project in eastern Nebraska. Scan line gaps were simulated on two Landsat 5 images (spring and late summer 2003) and then gap-filled using landscape boundary models, or segment models, that were derived from 1992 and 2002 Landsat images (used in the gap-fill process). Various date combinations of original and gap-filled images were used to derive crop maps using a supervised classification process. Overall kappa values were slightly higher for crop maps derived from SLC-off gap-filled images compared to crop maps derived from the original imagery (0.3–1.3% higher). Although the age of the segment model used to derive the SLC-off gap-filled product did not negatively impact the overall agreement, differences in individual cover type agreement did increase (−0.8%–1.6% using the 2002 segment model to −5.0–5.1% using the 1992 segment model). Classification agreement also decreased for most of the classes as the size of the segment used in the gap-fill process increased.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10106040701207399","issn":"10106049","usgsCitation":"Maxwell, S., and Craig, M., 2008, Use of landsat ETM+ SLC-off segment-based gap-filled imagery for crop type mapping: Geocarto International, v. 23, no. 3, p. 169-179, https://doi.org/10.1080/10106040701207399.","productDescription":"11 p.","startPage":"169","endPage":"179","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18895,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10106040701207399"}],"volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db6044cd","contributors":{"authors":[{"text":"Maxwell, S.K.","contributorId":36665,"corporation":false,"usgs":true,"family":"Maxwell","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":346003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craig, M.E.","contributorId":39107,"corporation":false,"usgs":true,"family":"Craig","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":346004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97120,"text":"ofr20081320 - 2008 - Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using landsat imagery","interactions":[],"lastModifiedDate":"2018-03-21T15:36:31","indexId":"ofr20081320","displayToPublicDate":"2008-12-18T00:00:00","publicationYear":"2008","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":"2008-1320","title":"Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using landsat imagery","docAbstract":"The southern portion of the Atchafalaya Basin Floodway System (ABFS) is a large area (2,571 km2) in south central Louisiana bounded on the east and west sides by a levee system. The ABFS is a sparsely populated area that includes some of the Nation's most significant extents of bottomland hardwoods, swamps, bayous, and backwater lakes, holding a rich abundance and diversity of terrestrial and aquatic species. The seasonal flow of water through the ABFS is critical to maintaining its ecological integrity. Because of strong interdependencies among species, habitat quality, and water flow in the ABFS, there is a need to better define the paths by which water moves at various stages of the hydrocycle. Although river level gages have collected a long historical record of water level variation, very little synoptic information has been available regarding the distribution and character of water at more remote locations in the basin. Most water management plans for the ABFS strive to improve water quality by increasing water flow and circulation from the main stem of the Atchafalaya River into isolated areas. To describe the distribution of land and water on a basin-wide scale, we chose to use Landsat 5 and Landsat 7 imagery to determine the extent of water distribution from 1985 to 2006 and at a variety of river stages. Because the visual signature of river water is high turbidity, we also used Landsat imagery to describe the distribution of turbid water in the ABFS. The ability to track water flow patterns by tracking turbid waters will enhance the characterization of water movement and aid in planning.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081320","usgsCitation":"Allen, Y.C., Constant, G.C., and Couvillion, B., 2008, Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using landsat imagery (Version 1.0): U.S. Geological Survey Open-File Report 2008-1320, iv, 14 p., https://doi.org/10.3133/ofr20081320.","productDescription":"iv, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195987,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12104,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1320/","linkFileType":{"id":5,"text":"html"}},{"id":352717,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1320/pdf/OF2008-1320.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.5,29 ], [ -92.5,31 ], [ -90.5,31 ], [ -90.5,29 ], [ -92.5,29 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e712","contributors":{"authors":[{"text":"Allen, Yvonne C.","contributorId":94403,"corporation":false,"usgs":true,"family":"Allen","given":"Yvonne","email":"","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":301089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constant, Glenn C.","contributorId":102595,"corporation":false,"usgs":false,"family":"Constant","given":"Glenn","email":"","middleInitial":"C.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":301091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":301090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259126,"text":"70259126 - 2008 - Geometric performance comparison between the OLI and the ETM+","interactions":[],"lastModifiedDate":"2024-09-27T16:07:03.292392","indexId":"70259126","displayToPublicDate":"2008-12-01T10:58:27","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geometric performance comparison between the OLI and the ETM+","docAbstract":"The Landsat Data Continuity Mission (LDCM) Operational Land Imager (OLI) is the successor to the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) instrument and features a pushbroom architecture that is more geometrically stable than the whiskbroom scanner of the ETM+. As a tradeoff of this architecture selection, imagery must be terrain corrected to ensure accurate band registration. This paper compares the geometric performance requirements for the two instruments and discusses the implications for the Landsat user community.
","conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 17th","conferenceDate":"November 18-20, 2008","conferenceLocation":"Denver, CO","language":"English","publisher":"ASPRS","usgsCitation":"Storey, J.C., Choate, M., and Lee, K., 2008, Geometric performance comparison between the OLI and the ETM+, William T. Pecora Memorial Symposium on Remote Sensing, 17th, Denver, CO, November 18-20, 2008, 0039, 8 p.","productDescription":"0039, 8 p.","costCenters":[],"links":[{"id":462343,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462344,"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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Kenton","contributorId":127404,"corporation":false,"usgs":false,"family":"Lee","given":"Kenton","email":"","affiliations":[{"id":6944,"text":"Ball Aerospace Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":914264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97073,"text":"gip81 - 2008 - EarthNow!","interactions":[],"lastModifiedDate":"2012-02-02T00:14:24","indexId":"gip81","displayToPublicDate":"2008-11-02T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"81","title":"EarthNow!","docAbstract":"EarthNow! displays live or recent acquisitions from the Landsat 5 and Landsat 7 satellites as they pass over North America. When these satellites pass within range of the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, data imagery is downloaded and displayed in near-real time. When the satellites are out of range of the South Dakota ground station at the EROS Center, recent acquisitions are displayed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/gip81","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, EarthNow! (Version 1.0): U.S. Geological Survey General Information Product 81, 2 p. (4 x 9 inches), https://doi.org/10.3133/gip81.","productDescription":"2 p. (4 x 9 inches)","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":121073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_81.jpg"},{"id":12050,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/81/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628e2f","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":535003,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97049,"text":"fs20083091 - 2008 - Opening the Landsat Archive","interactions":[],"lastModifiedDate":"2012-02-02T00:15:08","indexId":"fs20083091","displayToPublicDate":"2008-10-25T00:00:00","publicationYear":"2008","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":"2008-3091","title":"Opening the Landsat Archive","docAbstract":"The USGS Landsat archive holds an unequaled 36-year record of the Earth's surface that is invaluable to climate change studies, forest and resource management activities, and emergency response operations.\r\n\r\nAn aggressive effort is taking place to provide all Landsat imagery [scenes currently held in the USGS Earth Resources Observation and Science (EROS) Center archive, as well as newly acquired scenes daily] free of charge to users with electronic access via the Web by the end of December 2008. The entire Landsat 7 Enhanced Thematic Mapper Plus (ETM+) archive acquired since 1999 and any newly acquired Landsat 7 ETM+ images that have less than 40 percent cloud cover are currently available for download.\r\n\r\nWhen this endeavor is complete all Landsat 1-5 data will also be available for download. This includes Landsat 1-5 Multispectral Scanner (MSS) scenes, as well as Landsat 4 and 5 Thematic Mapper (TM) scenes.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083091","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Opening the Landsat Archive (Version 1.1, Revised Oct 31, 2008): U.S. Geological Survey Fact Sheet 2008-3091, 1 p., https://doi.org/10.3133/fs20083091.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":121101,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3091.jpg"},{"id":12020,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3091/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.1, Revised Oct 31, 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af1e4b07f02db691853","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":535002,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70258394,"text":"70258394 - 2008 - Development of Landsat-5 thematic mapper internal calibrator gain and offset table","interactions":[],"lastModifiedDate":"2024-09-16T16:25:12.563078","indexId":"70258394","displayToPublicDate":"2008-08-20T11:20:30","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development of Landsat-5 thematic mapper internal calibrator gain and offset table","docAbstract":"The National Landsat Archive Production System (NLAPS) has been the primary processing system for Landsat data since U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) started archiving Landsat data. NLAPS converts raw satellite data into radiometrically and geometrically calibrated products. NLAPS has historically used the Internal Calibrator (IC) to calibrate the reflective bands of the Landsat-5 Thematic Mapper (TM), even though the lamps in the IC were less stable than the TM detectors, as evidenced by vicarious calibration results. In 2003, a major effort was made to model the actual TM gain change and to update NLAPS to use this model rather than the unstable IC data for radiometric calibration. The model coefficients were revised in 2007 to reflect greater understanding of the changes in the TM responsivity. While the calibration updates are important to users with recently processed data, the processing system no longer calculates the original IC gain or offset. For specific applications, it is useful to have a record of the gain and offset actually applied to the older data. Thus, the NLAPS calibration database was used to generate estimated daily values for the radiometric gain and offset that might have been applied to TM data. This paper discusses the need for and generation of the NLAPS IC gain and offset tables. A companion paper covers the application of and errors associated with using these tables.
","conferenceTitle":"Earth Observing Systems XIII","conferenceDate":"August 11-13, 2008","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","usgsCitation":"Barsi, J.A., Chander, G., Micijevic, E., Markham, B.L., and Haque, O., 2008, Development of Landsat-5 thematic mapper internal calibrator gain and offset table, Earth Observing Systems XIII, v. 7081, San Diego, CA, August 11-13, 2008, 708115.","productDescription":"708115","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":434786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7081","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":913186,"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":913187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":913188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":913189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":913190,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258390,"text":"70258390 - 2008 - Monitoring on-orbit stability of Terra MODIS and Landsat 7 ETM+ reflective solar bands using Railroad Valley Playa, Nevada (RVPN) test site","interactions":[],"lastModifiedDate":"2024-09-16T15:48:41.708477","indexId":"70258390","displayToPublicDate":"2008-07-31T10:42:06","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring on-orbit stability of Terra MODIS and Landsat 7 ETM+ reflective solar bands using Railroad Valley Playa, Nevada (RVPN) test site","docAbstract":"The Moderate Resolution Imaging Spectroradiometer (MODIS) Proto-Flight Model (PFM), launched on December 18, 1999, aboard NASA's Earth Observing System (EOS) Terra satellite has 20 reflective solar bands (RSB) with wavelengths ranging from 0.41 to 2.1 mum over a wide field of view (plusmn55deg). The Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) sensor was launched on April 15, 1999, and has six spectral bands located in the visible and shortwave infrared (SWIR) part of the electromagnetic spectrum (0.4 - 2.5 mum). The ETM+ belongs to the family of Thematic Mapper sensors flown on previous Landsat missions. In this study, over 75 cloud-free nadir near-simultaneous images over Railroad Valley Playa, Nevada (RVPN) were chosen covering entire missions of both sensors. RVPN (38.5degN and 115.7degW), located between the cities of Ely and Tonopah, Nevada, USA, is a high reflectance site with very high spatial, spectral, and temporal uniformity. It is referenced to the Worldwide Reference System-2 (WRS-2) with path 40 and row 33. Homogeneous regions of interest (ROI) were chosen and cross-calibration was performed using an image statistics approach to monitor the long-term stability of the two sensors.
","conferenceTitle":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 7-11, 2008","conferenceLocation":"Boston, MA","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2008.4779985","usgsCitation":"Angal, A., Choi, T., Chander, G., and Xiong, X., 2008, Monitoring on-orbit stability of Terra MODIS and Landsat 7 ETM+ reflective solar bands using Railroad Valley Playa, Nevada (RVPN) test site, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, July 7-11, 2008, p. IV-1364-IV-1367, https://doi.org/10.1109/IGARSS.2008.4779985.","productDescription":"4 p.","startPage":"IV-1364","endPage":"IV-1367","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":434780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Railroad Valley Playa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.54143723412126,\n 38.63778929313497\n ],\n [\n -115.784282542926,\n 38.63778929313497\n ],\n [\n -115.784282542926,\n 38.36775406893835\n ],\n [\n -115.54143723412126,\n 38.36775406893835\n ],\n [\n -115.54143723412126,\n 38.63778929313497\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":913170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":913171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":913172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":913173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":86065,"text":"fs20083055 - 2008 - Earth Resources Observation and Science (EROS) Center - Who We Are and What We Do","interactions":[],"lastModifiedDate":"2012-02-02T00:14:29","indexId":"fs20083055","displayToPublicDate":"2008-07-30T00:00:00","publicationYear":"2008","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":"2008-3055","title":"Earth Resources Observation and Science (EROS) Center - Who We Are and What We Do","docAbstract":"To understand our planet at local, regional, national, and global scales, people need information about Earth's land surfaces and how they are changing. Land remote sensing is the key to gathering this information. Satellites that capture detailed images of Earth's continents, islands, and coastlines are and have been EROS' primary source of remotely sensed data since the Center opened in 1973. EROS is probably best known as the USGS receiving station for Landsat satellite images. However, we acquire data and images from many other satellites, as well as from other kinds of remote sensing instruments.\r\n\r\nRoughly 1.5 terabytes* of information arrive at EROS every day to become part of the largest civilian archive of remotely sensed land data in the world. The archive represents a perfectly preserved 70-year record of Earth's land surfaces and serves as an invaluable resource for documenting how they have changed over time.\r\n\r\n*One terabyte = 1,000 gigabytes","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083055","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Earth Resources Observation and Science (EROS) Center - Who We Are and What We Do: U.S. Geological Survey Fact Sheet 2008-3055, 2 p., https://doi.org/10.3133/fs20083055.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":121209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3055.jpg"},{"id":11618,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3055/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c19e","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":534976,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":85834,"text":"fs20083054 - 2008 - Declassified Intelligence Satellite Photographs","interactions":[],"lastModifiedDate":"2016-11-21T15:53:00","indexId":"fs20083054","displayToPublicDate":"2008-07-12T00:00:00","publicationYear":"2008","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":"2008-3054","title":"Declassified Intelligence Satellite Photographs","docAbstract":"Declassified photographs from U.S. intelligence satellites provide an important worldwide addition to the public record of the Earth’s land surface. This imagery was released to the National Archives and Records Administration (NARA) and the U.S. Geological Survey (USGS) in accordance with Executive Order 12951 on February 23, 1995. The NARA has the original declassified film and a viewing copy. The USGS has another copy of the film to complement the Landsat archive.
The declassified collection involves more than 990,000 photographs taken from 1959 through 1980 and was released on two separate occasions: February 1995 (Declass 1) and September 2002 (Declass 2). The USGS copy is maintained by the Earth Resources Observation and Science (EROS) Center, near Sioux Falls, South Dakota. Both the NARA and EROS provide public access to this unique collection that extends the record of land-surface change back another decade from the advent of the Landsat program that began satellite operations in 1972.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083054","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Declassified Intelligence Satellite Photographs: U.S. Geological Survey Fact Sheet 2008-3054, 2 p., https://doi.org/10.3133/fs20083054.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":121146,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3054.jpg"},{"id":11533,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3054/","linkFileType":{"id":5,"text":"html"}},{"id":331177,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3054/pdf/fs2008-3054.pdf","size":"347 KB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6726cf","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":534973,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70258485,"text":"70258485 - 2008 - Landsat 5 Thematic Mapper (TM) recalibration procedure for data processed using the National Landsat Archive Production System (NLAPS)","interactions":[],"lastModifiedDate":"2024-09-17T14:42:20.691349","indexId":"70258485","displayToPublicDate":"2008-07-11T09:38:31","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 5 Thematic Mapper (TM) recalibration procedure for data processed using the National Landsat Archive Production System (NLAPS)","docAbstract":"The multispectral data from the Landsat 5 (L5) Thematic Mapper (TM) sensor provides the backbone of an extensive archive of moderate resolution Earth imagery. Even after more than 24 years of service, the L5 TM is still operational. Given the longevity of the instrument, the detectors have aged, and the system's radiometric characteristics have changed since launch. The calibration procedures and parameters in National Land Archive Production System (NLAPS) have also changed with time. Revised radiometric calibrations in 2003 and 2007 have improved the radiometric accuracy of recently processed data; however, users with data processed prior to the calibration update have not benefited from these revisions. A general procedure has been developed to give users the ability to recalibrate their existing systematically corrected (Level-1) products. The best recalibration can be obtained if the work order report originally used in product generation is still available. This paper discusses the procedure to recalibrate the L5 TM data for the users who have the work order files that were delivered with their products.
","conferenceTitle":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 7-11, 2024","conferenceLocation":"Boston, MA","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2008.4779984","usgsCitation":"Chander, G., Haque, O., Micijevic, E., and Barsi, J.A., 2008, Landsat 5 Thematic Mapper (TM) recalibration procedure for data processed using the National Landsat Archive Production System (NLAPS), IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, July 7-11, 2024, p. IV-1360-IV-1363, https://doi.org/10.1109/IGARSS.2008.4779984.","productDescription":"4 p.","startPage":"IV-1360","endPage":"IV-1363","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":434831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":913310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":913311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":913312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":913313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70258484,"text":"70258484 - 2008 - Evaluation of candidate Landsat Data Gap Sensors","interactions":[],"lastModifiedDate":"2024-09-17T14:37:04.767594","indexId":"70258484","displayToPublicDate":"2008-07-11T09:32:08","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of candidate Landsat Data Gap Sensors","docAbstract":"The capabilities of the currently operational Landsat satellites may be lost before the launch of the follow-on Landsat Data Continuity Mission (LDCM), thus producing a gap in the Landsat data record and the National Satellite Land Remote Sensing Data Archive (NSLRSDA). In anticipation of a gap, the Federal agencies responsible for Landsat program management, the National Aeronautics and Space Administration (NASA) and the Department of Interior (DOI) U. S. Geological Survey (USGS), convened a Landsat Data Gap Study Team (LDGST). The study team assessed the basic characteristics of multiple systems and identified sensors aboard the China-Brazil Earth Resources Satellite (CBERS-2) and the Indian Remote Sensing (IRS-P6) ResourceSat-1 satellite as the most promising sources of Landsat-like data. The sensors include the combination of CBERS-2 Infrared Multi-spectral Scanner (IRMSS) and High Resolution Charged Coupled Device (CCD), as well as the IRS-P6 Advanced Wide Field Sensor (AWiFS) and the IRS-P6 Linear Imaging Self Scanning Sensor (LISS-III). The study team concluded that more robust technical evaluations of data and sensor performance are required before gap mitigation strategies can be fully formulated. A technical report is made available that summarizes the results from those evaluations, including the initial data characterization and science utility evaluation. The report can be accessed at http://calval.cr.usgs.gov/LDGST.php.
","conferenceTitle":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 7-11, 2008","conferenceLocation":"Boston, MA","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2008.4779988","usgsCitation":"Chander, G., and Stensaas, G.L., 2008, Evaluation of candidate Landsat Data Gap Sensors, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, July 7-11, 2008, p. IV-1376-IV-1379, https://doi.org/10.1109/IGARSS.2008.4779988.","productDescription":"4 p.","startPage":"IV-1376","endPage":"IV-1379","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":434830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":913308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":913309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70258645,"text":"70258645 - 2008 - Simplified Surface Energy Balance (SSEB) approach for estimating actual ET: An evaluation with lysimeter data","interactions":[],"lastModifiedDate":"2024-09-19T14:03:50.105201","indexId":"70258645","displayToPublicDate":"2008-07-09T08:57:15","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Simplified Surface Energy Balance (SSEB) approach for estimating actual ET: An evaluation with lysimeter data","docAbstract":"Evapotranspiration (ET) is an essential component of the water balance and a major consumptive use of irrigation water and precipitation on cropland. Numerous energy balance (EB) algorithms have been developed to make use of remote sensing data to estimate ET regionally. However, a review of different ET mapping algorithms shows that most EB models are complex to use and may not be suitable for operational ET remote sensing. Efforts are being made to simplify procedures to estimate regional ET mainly through the scaling of reference ET. The Simplified Surface Energy Balance (SSEB) is one such method. In this study, the SSEB approach was applied to six Landsat TM images covering a major portion of the Southern High Plains (parts of the Texas Panhandle and northeastern New Mexico) that were acquired during the 2007 cropping season. Performance of the SSEB was evaluated by comparing estimated ET with measured daily ET from four large monolithic lysimeters, with each lysimeter located in the center of a 210 by 225 m field at the USDA_ARS Conservation and Production Research Laboratory, Bushland, Tex. [350 11' N, 1020 06' W; 1,170 m elevation MSL]. Results indicated that the SSEB can provide ET estimates with reasonable accuracy for the Bushland location. However, more evaluation is needed for different agroclimatological conditions in the region.
","conferenceTitle":"Annual International Meeting","conferenceDate":"June 29-July 2, 2008","conferenceLocation":"Providence, RI","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/2013.24610","usgsCitation":"Gowda, P.H., Senay, G.B., Colaizzi, P.D., and Howell, T.A., 2008, Simplified Surface Energy Balance (SSEB) approach for estimating actual ET: An evaluation with lysimeter data, Annual International Meeting, Providence, RI, June 29-July 2, 2008, 083651, https://doi.org/10.13031/2013.24610.","productDescription":"083651","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":439136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gowda, Prasanna H.","contributorId":127439,"corporation":false,"usgs":false,"family":"Gowda","given":"Prasanna","email":"","middleInitial":"H.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":913525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":913526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colaizzi, Paul D.","contributorId":344335,"corporation":false,"usgs":false,"family":"Colaizzi","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":913527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, Terry A.","contributorId":344336,"corporation":false,"usgs":false,"family":"Howell","given":"Terry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":913528,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":85819,"text":"gip66 - 2008 - Ride the Rockies Postcard","interactions":[],"lastModifiedDate":"2012-02-02T00:14:28","indexId":"gip66","displayToPublicDate":"2008-07-08T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"66","title":"Ride the Rockies Postcard","docAbstract":"2008 Ride The Rockies route on shaded-relief mosaic of USGS Landsat 7 satellite images. To download other USGS materials related to Ride The Rockies, go to http://www.cr.usgs.gov/rtr/index.htm","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/gip66","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Ride the Rockies Postcard (Version 1.0): U.S. Geological Survey General Information Product 66, Postcard: 6 x 4.25 inches, https://doi.org/10.3133/gip66.","productDescription":"Postcard: 6 x 4.25 inches","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_66.jpg"},{"id":11513,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/2008/66/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db6019eb","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":534970,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156526,"text":"70156526 - 2008 - Land-cover observations as part of a Global Earth Observation System of Systems (GEOSS): Progress, activities, and prospects","interactions":[],"lastModifiedDate":"2017-04-03T14:00:47","indexId":"70156526","displayToPublicDate":"2008-07-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3922,"text":"IEEE Systems Journal","active":true,"publicationSubtype":{"id":10}},"title":"Land-cover observations as part of a Global Earth Observation System of Systems (GEOSS): Progress, activities, and prospects","docAbstract":"The international land-cover community has been working with GEO since 2005 to build the foundations for land-cover observations as an integral part of a Global Earth Observation System of Systems (GEOSS). The Group on Earth Observation (GEO) has provided the platform to elevate the societal relevance of land cover monitoring and helped to link a diverse set of global, regional, and national activities. A dedicated 2007-2009 GEO work plan task has resulted in achievements on the strategic and implementation levels. Integrated Global Observations of the Land (IGOL), the land theme of the Integrated Global Observation Strategy (IGOS), has been approved and is now in the process of transition into GEO implementation. New global land-cover maps at moderate spatial resolutions (i.e., GLOBCOVER) are being produced using guidelines and standards of the international community. The Middecadal Global Landsat Survey for 2005-2006 is extending previous 1990 and 2000 efforts for global, high-quality Landsat data. Despite this progress, essential challenges for building a sustained global land-cover-observing system remain, including: international cooperation on the continuity of global observations; ensuring consistency in land monitoring approaches; community engagement and country participation in mapping activities; commitment to ongoing quality assurance and validation; and regional networking and capacity building.
","language":"English","publisher":"IEEE","doi":"10.1109/JSYST.2008.925983","usgsCitation":"Herold, M., Woodcock, C.E., Loveland, T., Townshend, J., Brady, M., Steenmans, C., and Schmullius, C.C., 2008, Land-cover observations as part of a Global Earth Observation System of Systems (GEOSS): Progress, activities, and prospects: IEEE Systems Journal, v. 2, no. 3, p. 414-423, https://doi.org/10.1109/JSYST.2008.925983.","productDescription":"10 p.","startPage":"414","endPage":"423","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92c1e4b05d6c4e501a9e","contributors":{"authors":[{"text":"Herold, M.","contributorId":26533,"corporation":false,"usgs":true,"family":"Herold","given":"M.","email":"","affiliations":[],"preferred":false,"id":569396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodcock, C. E.","contributorId":93696,"corporation":false,"usgs":false,"family":"Woodcock","given":"C.","email":"","middleInitial":"E.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":569397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":569398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Townshend, J.","contributorId":146906,"corporation":false,"usgs":false,"family":"Townshend","given":"J.","email":"","affiliations":[],"preferred":false,"id":569399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brady, M.","contributorId":146907,"corporation":false,"usgs":false,"family":"Brady","given":"M.","email":"","affiliations":[],"preferred":false,"id":569400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steenmans, C.","contributorId":146908,"corporation":false,"usgs":false,"family":"Steenmans","given":"C.","email":"","affiliations":[],"preferred":false,"id":569401,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmullius, C. C.","contributorId":146909,"corporation":false,"usgs":false,"family":"Schmullius","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":569402,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70156731,"text":"70156731 - 2008 - Crop area estimation using high and medium resolution satellite imagery in areas with complex topography","interactions":[],"lastModifiedDate":"2015-08-27T10:04:56","indexId":"70156731","displayToPublicDate":"2008-07-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Crop area estimation using high and medium resolution satellite imagery in areas with complex topography","docAbstract":"Reliable estimates of cropped area (CA) in developing countries with chronic food shortages are essential for emergency relief and the design of appropriate market-based food security programs. Satellite interpretation of CA is an effective alternative to extensive and costly field surveys, which fail to represent the spatial heterogeneity at the country-level. Bias-corrected, texture based classifications show little deviation from actual crop inventories, when estimates derived from aerial photographs or field measurements are used to remove systematic errors in medium resolution estimates. In this paper, we demonstrate a hybrid high-medium resolution technique for Central Ethiopia that combines spatially limited unbiased estimates from IKONOS images, with spatially extensive Landsat ETM+ interpretations, land-cover, and SRTM-based topography. Logistic regression is used to derive the probability of a location being crop. These individual points are then aggregated to produce regional estimates of CA. District-level analysis of Landsat based estimates showed CA totals which supported the estimates of the Bureau of Agriculture and Rural Development. Continued work will evaluate the technique in other parts of Africa, while segmentation algorithms will be evaluated, in order to automate classification of medium resolution imagery for routine CA estimation in the future.
","language":"English","publisher":"AGU Publications","doi":"10.1029/2007JD009175","usgsCitation":"Husak, G., Marshall, M.T., Michaelsen, J., Pedreros, D., Funk, C.C., and Galu, G., 2008, Crop area estimation using high and medium resolution satellite imagery in areas with complex topography: Journal of Geophysical Research D: Atmospheres, v. 113, no. 14, D14112: 8 p., https://doi.org/10.1029/2007JD009175.","productDescription":"D14112: 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007jd009175","text":"Publisher Index Page"},{"id":307599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"14","noUsgsAuthors":false,"publicationDate":"2008-07-18","publicationStatus":"PW","scienceBaseUri":"55e034b5e4b0f42e3d040df9","contributors":{"authors":[{"text":"Husak, G.J.","contributorId":91314,"corporation":false,"usgs":true,"family":"Husak","given":"G.J.","email":"","affiliations":[],"preferred":false,"id":570297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, M. T.","contributorId":147105,"corporation":false,"usgs":false,"family":"Marshall","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michaelsen, J.","contributorId":12288,"corporation":false,"usgs":true,"family":"Michaelsen","given":"J.","affiliations":[],"preferred":false,"id":570299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pedreros, Diego 0000-0001-9943-7373 pedreros@usgs.gov","orcid":"https://orcid.org/0000-0001-9943-7373","contributorId":4195,"corporation":false,"usgs":true,"family":"Pedreros","given":"Diego","email":"pedreros@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":570300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":570301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galu, G.","contributorId":14637,"corporation":false,"usgs":true,"family":"Galu","given":"G.","affiliations":[],"preferred":false,"id":570302,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159616,"text":"70159616 - 2008 - Radiative forcing over the conterminous United States due to contemporary land cover land use albedo change","interactions":[],"lastModifiedDate":"2015-11-13T09:16:25","indexId":"70159616","displayToPublicDate":"2008-05-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Radiative forcing over the conterminous United States due to contemporary land cover land use albedo change","docAbstract":"Recently available satellite land cover land use (LCLU) and albedo data are used to study the impact of LCLU change from 1973 to 2000 on surface albedo and radiative forcing for 36 ecoregions covering 43% of the conterminous United States (CONUS). Moderate Resolution Imaging Spectroradiometer (MODIS) snow-free broadband albedo values are derived from Landsat LCLU classification maps located using a stratified random sampling methodology to estimate ecoregion estimates of LCLU induced albedo change and surface radiative forcing. The results illustrate that radiative forcing due to LCLU change may be disguised when spatially and temporally explicit data sets are not used. The radiative forcing due to contemporary LCLU albedo change varies geographically in sign and magnitude, with the most positive forcings (up to 0.284 Wm−2) due to conversion of agriculture to other LCLU types, and the most negative forcings (as low as −0.247 Wm−2) due to forest loss. For the 36 ecoregions considered a small net positive forcing (i.e., warming) of 0.012 Wm−2 is estimated.
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","language":"English","publisher":"AAAS","doi":"10.1126/science.320.5879.1011a","usgsCitation":"Woodcock, C.E., Allen, R., Anderson, M., Belward, A., Bindschadler, R., Cohen, W., Gao, F., Goward, S., Helder, D., Helmer, E., Nemani, R., Oreopoulos, L., Schott, J., Thenkabail, P.S., Vermote, E., Vogelmann, J., Wulder, M., and Wynne, R., 2008, Free access to Landsat imagery: Science, v. 320, no. 5879, https://doi.org/10.1126/science.320.5879.1011a.","productDescription":"1 p.","startPage":"1011","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"320","issue":"5879","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562f4eb2e4b093cee780a28a","contributors":{"authors":[{"text":"Woodcock, C. 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Recently degraded performance and intermittent service of the Landsat 7 and Landsat 5 sensors, respectively, have raised concerns about the condition of global Earth observation programs. However, Landsat imagery is still useful for landscape change detection and this capability should continue into the foreseeable future.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2008.01.002","usgsCitation":"Loveland, T., Cochrane, M.A., and Henebry, G.M., 2008, Landsat still contributing to environmental research: Trends in Ecology and Evolution, v. 23, no. 4, p. 182-183, https://doi.org/10.1016/j.tree.2008.01.002.","productDescription":"2 p.","startPage":"182","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e96f3ae4b0dacf699e7888","contributors":{"authors":[{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":571347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, Mark A.","contributorId":20884,"corporation":false,"usgs":false,"family":"Cochrane","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":571348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henebry, Geoffrey M.","contributorId":124528,"corporation":false,"usgs":false,"family":"Henebry","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":571349,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159449,"text":"70159449 - 2008 - Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska","interactions":[],"lastModifiedDate":"2015-10-30T09:56:55","indexId":"70159449","displayToPublicDate":"2008-02-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2035,"text":"International Journal of Digital Earth","active":true,"publicationSubtype":{"id":10}},"title":"Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska","docAbstract":"High-latitude ecosystems are exposed to more pronounced warming effects than other parts of the globe. We develop a technique to monitor ecological changes in a way that distinguishes climate influences from disturbances. In this study, we account for climatic influences on Alaskan boreal forest performance with a data-driven model. We defined ecosystem performance anomalies (EPA) using the residuals of the model and made annual maps of EPA. Most areas (88%) did not have anomalous ecosystem performance for at least 6 of 8 years between 1996 and 2004. Areas with underperforming EPA (10%) often indicate areas associated with recent fires and areas of possible insect infestation or drying soil related to permafrost degradation. Overperforming areas (2%) occurred in older fire recovery areas where increased deciduous vegetation components are expected. The EPA measure was validated with composite burn index data and Landsat vegetation indices near and within burned areas.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17538940802038366","usgsCitation":"Wylie, B., Zhang, L., Bliss, N.B., Ji, L., Tieszen, L.L., and Jolly, W., 2008, Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska: International Journal of Digital Earth, v. 1, no. 2, p. 196-220, https://doi.org/10.1080/17538940802038366.","productDescription":"25 p.","startPage":"196","endPage":"220","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563495c2e4b048076347fe11","contributors":{"authors":[{"text":"Wylie, B.K. 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":24877,"corporation":false,"usgs":true,"family":"Wylie","given":"B.K.","affiliations":[],"preferred":false,"id":578744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":578745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","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":578746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":578747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":578748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jolly, W. 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The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System (see http://water.usgs.gov/GIS/browse/nlcd01-partition.jpg). The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and others (2004), (see: http://www.mrlc.gov/mrlc2k.asp). The NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see http://water.usgs.gov/GIS/browse/nlcd01-mappingzones.jpg), were delineated within the conterminous United States based on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat mosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones can be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70047865","usgsCitation":"LaMotte, A., 2008, National Land Cover Database 2001 (NLCD01) Tile 2, Northeast United States: NLCD01_2: U.S. Geological Survey Data Series 383-B, Dataset, https://doi.org/10.3133/70047865.","productDescription":"Dataset","costCenters":[],"links":[{"id":277099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":277098,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nlcd01_2.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.612036,37.105324 ], [ -98.612036,51.857936 ], [ -65.143599,51.857936 ], [ -65.143599,37.105324 ], [ -98.612036,37.105324 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f1beae4b0f8bf2b076148","contributors":{"authors":[{"text":"LaMotte, Andrew","contributorId":70006,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","affiliations":[],"preferred":false,"id":483177,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}