Forest change is of great concern for land use decision makers and conservation communities. Quantitative and spatial forest change information is critical for addressing many pressing issues, including global climate change, carbon budgets, and sustainability. In this study, our analysis focuses on the differences in geospatial patterns and their changes between federal forests and nonfederal forests in Alabama over the time period 1987–2005, by interpreting 163 Landsat Thematic Mapper (TM) scenes using a vegetation change tracker (VCT) model. Our analysis revealed that for the most part of 1990 s and between 2000 and 2005, Alabama lost about 2% of its forest on an annual basis due to disturbances, but much of the losses were balanced by forest regeneration from previous disturbances. The disturbance maps revealed that federal forests were reasonably well protected, with the fragmentation remaining relatively stable over time. In contrast, nonfederal forests, which are predominant in area share (about 95%), were heavily disturbed, clearly demonstrating decreasing levels of fragmentation during the time period 1987–1993 giving way to a subsequent accelerating fragmentation during the time period 1994–2005. Additionally, the identification of the statistical relationships between forest fragmentation status and forest loss rate and forest net change rate in relation to land ownership implied the distinct differences in forest cutting rate and cutting patterns between federal forests and nonfederal forests. The forest spatial change information derived from the model has provided valuable insights regarding regional forest management practices and disturbance regimes, which are closely associated with regional economics and environmental concerns.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2008.12.023","issn":"03781","usgsCitation":"Li, M., Huang, C., Zhu, Z., Shi, H., Lu, H., and Peng, S., 2009, Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model: Forest Ecology and Management, v. 257, no. 6, p. 1480-1488, https://doi.org/10.1016/j.foreco.2008.12.023.","productDescription":"9 p.","startPage":"1480","endPage":"1488","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241522,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213857,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2008.12.023"}],"volume":"257","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eddee4b0c8380cd49a79","contributors":{"authors":[{"text":"Li, Mingshi","contributorId":202731,"corporation":false,"usgs":false,"family":"Li","given":"Mingshi","email":"","affiliations":[],"preferred":false,"id":437129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":437126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":437124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","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":437128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lu, Heng","contributorId":202744,"corporation":false,"usgs":false,"family":"Lu","given":"Heng","email":"","affiliations":[],"preferred":false,"id":437125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peng, Shikui","contributorId":202745,"corporation":false,"usgs":false,"family":"Peng","given":"Shikui","email":"","affiliations":[],"preferred":false,"id":437127,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035791,"text":"70035791 - 2009 - Climate, lightning ignitions, and fire severity in Yosemite National Park, California, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:49","indexId":"70035791","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Climate, lightning ignitions, and fire severity in Yosemite National Park, California, USA","docAbstract":"Continental-scale studies of western North America have attributed recent increases in annual area burned and fire size to a warming climate, but these studies have focussed on large fires and have left the issues of fire severity and ignition frequency unaddressed. Lightning ignitions, any of which could burn a large area given appropriate conditions for fire spread, could be the first indication of more frequent fire. We examined the relationship between snowpack and the ignition and size of fires that occurred in Yosemite National Park, California (area 3027 km2), between 1984 and 2005. During this period, 1870 fires burned 77 718 ha. Decreased spring snowpack exponentially increased the number of lightning-ignited fires. Snowpack mediated lightning-ignited fires by decreasing the proportion of lightning strikes that caused lightning-ignited fires and through fewer lightning strikes in years with deep snowpack. We also quantified fire severity for the 103 fires >40 ha with satellite fire-severity indices using 23 years of Landsat Thematic Mapper data. The proportion of the landscape that burned at higher severities and the complexity of higher-severity burn patches increased with the log10 of annual area burned. Using one snowpack forecast, we project that the number of lightning-ignited fires will increase 19.1% by 2020 to 2049 and the annual area burned at high severity will increase 21.9%. Climate-induced decreases in snowpack and the concomitant increase in fire severity suggest that existing assumptions may be understated-fires may become more frequent and more severe. ?? IAWF 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1071/WF08117","issn":"10498001","usgsCitation":"Lutz, J., van Wagtendonk, J., Thode, A.E., Miller, J., and Franklin, J., 2009, Climate, lightning ignitions, and fire severity in Yosemite National Park, California, USA: International Journal of Wildland Fire, v. 18, no. 7, p. 765-774, https://doi.org/10.1071/WF08117.","startPage":"765","endPage":"774","numberOfPages":"10","costCenters":[],"links":[{"id":216139,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF08117"},{"id":243987,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f658e4b0c8380cd4c6e7","contributors":{"authors":[{"text":"Lutz, J.A.","contributorId":71792,"corporation":false,"usgs":true,"family":"Lutz","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":452395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Wagtendonk, J. W.","contributorId":85111,"corporation":false,"usgs":true,"family":"van Wagtendonk","given":"J. W.","affiliations":[],"preferred":false,"id":452397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thode, A. E.","contributorId":75870,"corporation":false,"usgs":true,"family":"Thode","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":452396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, J.D.","contributorId":43431,"corporation":false,"usgs":true,"family":"Miller","given":"J.D.","affiliations":[],"preferred":false,"id":452393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Franklin, J.F.","contributorId":56583,"corporation":false,"usgs":true,"family":"Franklin","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":452394,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035243,"text":"70035243 - 2009 - Soil and nutrient retention in winter-flooded ricefields with implications for watershed management","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035243","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Soil and nutrient retention in winter-flooded ricefields with implications for watershed management","docAbstract":"The ability of water resources to support aquatic life and human needs depends, in part, on reducing nonpoint source pollution amid contemporary agricultural practices. Winter retention of shallow water on rice and other agricultural fields is an accepted management practice for wildlife conservation; however, soil and water conservation benefits are not well documented. We evaluated the ability of four post-harvest ricefield treatment combinations (stubble-flooded, stubble-open, disked-flooded and disked-open) to abate nonpoint source exports into watersheds of the Mississippi Alluvial Valley. Total suspended solid exports were 1,121 kg ha-1 (1,000 lb ac-1) from disked-open fields where rice stubble was disked after harvest and fields were allowed to drain, compared with 35 kg ha-1 (31 lb ac-1) from stubble-flooded fields where stubble was left standing after harvest and fields captured rainfall from November 1 to March 1. Estimates of total suspended solid exports from ricefields based on Landsat imagery and USDA crop data are 0.43 and 0.40 Mg km-2 day-1 in the Big Sunflower and L'Anguille watersheds, respectively. Estimated reductions in total suspended solid exports from ricefields into the Big Sunflower and L'Anguille water-sheds range from 26% to 64% under hypothetical scenarios in which 65% to 100% of the rice production area is managed to capture winter rainfall. Winter ricefield management reduced nonpoint source export by decreasing concentrations of solids and nutrients in, and reducing runoff volume from, ricefields in the Mississippi Alluvial Valley.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Soil and Water Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2489/jswc.64.3.173","issn":"00224561","usgsCitation":"Manley, S., Kaminski, R., Rodrigue, P., Dewey, J., Schoenholtz, S., Gerard, P., and Reinecke, K.J., 2009, Soil and nutrient retention in winter-flooded ricefields with implications for watershed management: Journal of Soil and Water Conservation, v. 64, no. 3, p. 173-182, https://doi.org/10.2489/jswc.64.3.173.","startPage":"173","endPage":"182","numberOfPages":"10","costCenters":[],"links":[{"id":215336,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2489/jswc.64.3.173"},{"id":243131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-06-01","publicationStatus":"PW","scienceBaseUri":"505b91e9e4b08c986b319b96","contributors":{"authors":[{"text":"Manley, S.W.","contributorId":13716,"corporation":false,"usgs":true,"family":"Manley","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":449874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaminski, R.M.","contributorId":53330,"corporation":false,"usgs":true,"family":"Kaminski","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":449876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, P.B.","contributorId":98559,"corporation":false,"usgs":true,"family":"Rodrigue","given":"P.B.","email":"","affiliations":[],"preferred":false,"id":449879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewey, J.C.","contributorId":7100,"corporation":false,"usgs":true,"family":"Dewey","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":449873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schoenholtz, S.H.","contributorId":60178,"corporation":false,"usgs":true,"family":"Schoenholtz","given":"S.H.","affiliations":[],"preferred":false,"id":449878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerard, P.D.","contributorId":16368,"corporation":false,"usgs":true,"family":"Gerard","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":449875,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reinecke, K. J.","contributorId":54537,"corporation":false,"usgs":true,"family":"Reinecke","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449877,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70034063,"text":"70034063 - 2009 - Influence of resolution in irrigated area mapping and area estimation","interactions":[],"lastModifiedDate":"2021-03-09T15:32:59.315145","indexId":"70034063","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Influence of resolution in irrigated area mapping and area estimation","docAbstract":"The overarching goal of this paper was to determine how irrigated areas change with resolution (or scale) of imagery. Specific objectives investigated were to (a) map irrigated areas using four distinct spatial resolutions (or scales), (b) determine how irrigated areas change with resolutions, and (c) establish the causes of differences in resolution-based irrigated areas. The study was conducted in the very large Krishna River basin (India), which has a high degree of formal contiguous, and informal fragmented irrigated areas. The irrigated areas were mapped using satellite sensor data at four distinct resolutions: (a) NOAA AVHRR Pathfinder 10,000 m, (b) Terra MODIS 500 m, (c) Terra MODIS 250 m, and (d) Landsat ETM+ 30 m. The proportion of irrigated areas relative to Landsat 30 m derived irrigated areas (9.36 million hectares for the Krishna basin) were (a) 95 percent using MODIS 250 m, (b) 93 percent using MODIS 500 m, and (c) 86 percent using AVHRR 10,000 m. In this study, it was found that the precise location of the irrigated areas were better established using finer spatial resolution data. A strong relationship (R2 = 0.74 to 0.95) was observed between irrigated areas determined using various resolutions. This study proved the hypotheses that “the finer the spatial resolution of the sensor used, greater was the irrigated area derived,” since at finer spatial resolutions, fragmented areas are detected better. Accuracies and errors were established consistently for three classes (surface water irrigated, ground water/conjunctive use irrigated, and non-irrigated) across the four resolutions mentioned above. The results showed that the Landsat data provided significantly higher overall accuracies (84 percent) when compared to MODIS 500 m (77 percent), MODIS 250 m (79 percent), and AVHRR 10,000 m (63 percent).
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.75.12.1383","issn":"00991112","usgsCitation":"Velpuri, N., Thenkabail, P., Gumma, M., Biradar, C., Dheeravath, V., Noojipady, P., and Yuanjie, L., 2009, Influence of resolution in irrigated area mapping and area estimation: Photogrammetric Engineering and Remote Sensing, v. 75, no. 12, p. 1383-1395, https://doi.org/10.14358/PERS.75.12.1383.","productDescription":"13 p.","startPage":"1383","endPage":"1395","costCenters":[],"links":[{"id":476312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.75.12.1383","text":"Publisher Index Page"},{"id":384248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Krishna River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 72.50976562499999,\n 12.31853594166211\n ],\n [\n 83.69384765625,\n 12.31853594166211\n ],\n [\n 83.69384765625,\n 19.78738018198621\n ],\n [\n 72.50976562499999,\n 19.78738018198621\n ],\n [\n 72.50976562499999,\n 12.31853594166211\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b72e4b0c8380cd6252a","contributors":{"authors":[{"text":"Velpuri, N.M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":66495,"corporation":false,"usgs":true,"family":"Velpuri","given":"N.M.","affiliations":[],"preferred":false,"id":443883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":443882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gumma, M.K.","contributorId":12286,"corporation":false,"usgs":true,"family":"Gumma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":443878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biradar, C.","contributorId":44377,"corporation":false,"usgs":true,"family":"Biradar","given":"C.","email":"","affiliations":[],"preferred":false,"id":443880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":443881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noojipady, P.","contributorId":42453,"corporation":false,"usgs":true,"family":"Noojipady","given":"P.","affiliations":[],"preferred":false,"id":443879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yuanjie, L.","contributorId":86199,"corporation":false,"usgs":true,"family":"Yuanjie","given":"L.","email":"","affiliations":[],"preferred":false,"id":443884,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70033841,"text":"70033841 - 2009 - Providing public standardized data access function: Lessons learned from accessing USGS Landsat archive","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033841","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Providing public standardized data access function: Lessons learned from accessing USGS Landsat archive","docAbstract":"The geospatial community is experiencing a shift from having data locally to sharing them over the Web. However, not all the data accessing systems are built in compliance with open geospatial standards and thus are weak in terms of interoperability. The USGS Landsat data are now available through free electronic access though not yet through standard Web service interfaces. This paper intends to discuss the experience and lessons learned from integrating a public data access function to the USGS Landsat data archive into a geospatial workflow environment. Currently available systems and their problems, proposed solutions and application scenarios are discussed.","largerWorkTitle":"2009 17th International Conference on Geoinformatics, Geoinformatics 2009","conferenceTitle":"2009 17th International Conference on Geoinformatics, Geoinformatics 2009","conferenceDate":"12 August 2009 through 14 August 2009","conferenceLocation":"Fairfax, VA","language":"English","doi":"10.1109/GEOINFORMATICS.2009.5293043","isbn":"9781424445639","usgsCitation":"Cheng, X., Bai, Y., Di, L., and Nebert, D., 2009, Providing public standardized data access function: Lessons learned from accessing USGS Landsat archive, in 2009 17th International Conference on Geoinformatics, Geoinformatics 2009, Fairfax, VA, 12 August 2009 through 14 August 2009, https://doi.org/10.1109/GEOINFORMATICS.2009.5293043.","costCenters":[],"links":[{"id":214443,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/GEOINFORMATICS.2009.5293043"},{"id":242171,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8faae4b0c8380cd7f8bb","contributors":{"authors":[{"text":"Cheng, X.","contributorId":23027,"corporation":false,"usgs":true,"family":"Cheng","given":"X.","email":"","affiliations":[],"preferred":false,"id":442792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bai, Y.","contributorId":42784,"corporation":false,"usgs":true,"family":"Bai","given":"Y.","email":"","affiliations":[],"preferred":false,"id":442793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Di, L.","contributorId":64524,"corporation":false,"usgs":true,"family":"Di","given":"L.","email":"","affiliations":[],"preferred":false,"id":442794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nebert, D.","contributorId":93783,"corporation":false,"usgs":true,"family":"Nebert","given":"D.","email":"","affiliations":[],"preferred":false,"id":442795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035077,"text":"70035077 - 2009 - Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration","interactions":[],"lastModifiedDate":"2017-04-03T14:59:21","indexId":"70035077","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration","docAbstract":"Multispectral data from the Landsat 5 (L5) Thematic Mapper (TM) sensor provide the backbone of the 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 satellite, the detectors have aged and the sensor's radiometric characteristics have changed since launch. The calibration procedures and parameters in the 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. This letter uses the Normalized Difference Vegetation Index (NDVI) as a metric to evaluate the radiometric calibration. The calibration change has improved absolute calibration accuracy, consistency over time, and consistency with Landsat 7 (L7) Enhanced Thematic radiometry and will provide the basis for continued long‐term studies of the Earth's land surfaces.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160802524545","issn":"01431161","usgsCitation":"Chander, G., and Groeneveld, D., 2009, Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration: International Journal of Remote Sensing, v. 30, no. 6, p. 1621-1628, https://doi.org/10.1080/01431160802524545.","productDescription":"8 p.","startPage":"1621","endPage":"1628","numberOfPages":"8","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215358,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160802524545"}],"volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-04-22","publicationStatus":"PW","scienceBaseUri":"505a3dbae4b0c8380cd637c0","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":449193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groeneveld, D.P.","contributorId":77161,"corporation":false,"usgs":true,"family":"Groeneveld","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":449194,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037453,"text":"70037453 - 2009 - Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol","interactions":[],"lastModifiedDate":"2018-03-08T13:05:08","indexId":"70037453","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1940,"text":"IEEE Geoscience and Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol","docAbstract":"One of the major efforts in large area land cover mapping over the last two decades was the completion of two U.S. National Land Cover Data sets (NLCD), developed with nominal 1992 and 2001 Landsat imagery under the auspices of the MultiResolution Land Characteristics (MRLC) Consortium. Following the successful generation of NLCD 1992, a second generation MRLC initiative was launched with two primary goals: (1) to develop a consistent Landsat imagery data set for the U.S. and (2) to develop a second generation National Land Cover Database (NLCD 2001). One of the key enhancements was the formulation of an image preprocessing protocol and implementation of a consistent image processing method. The core data set of the NLCD 2001 database consists of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. This letter details the procedures for processing the original ETM+ images and more recent scenes added to the database. NLCD 2001 products include Anderson Level II land cover classes, percent tree canopy, and percent urban imperviousness at 30-m resolution derived from Landsat imagery. The products are freely available for download to the general public from the MRLC Consortium Web site at http://www.mrlc.gov.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Geoscience and Remote Sensing Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","doi":"10.1109/LGRS.2009.2025244","issn":"1545598X","usgsCitation":"Chander, G., Huang, C., Yang, L., Homer, C.G., and Larson, C., 2009, Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol: IEEE Geoscience and Remote Sensing Letters, v. 6, no. 4, p. 777-781, https://doi.org/10.1109/LGRS.2009.2025244.","productDescription":"5 p.","startPage":"777","endPage":"781","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245331,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217386,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/LGRS.2009.2025244"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a000fe4b0c8380cd4f575","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":461125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":461126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":461122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","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":461124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, C.","contributorId":32357,"corporation":false,"usgs":true,"family":"Larson","given":"C.","email":"","affiliations":[],"preferred":false,"id":461123,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035066,"text":"70035066 - 2009 - Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high-resolution validation data set","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035066","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high-resolution validation data set","docAbstract":"Given the relatively high cost of mapping impervious surfaces at regional scales, substantial effort is being expended in the development of moderate-resolution, satellite-based methods for estimating impervious surface area (ISA). To rigorously assess the accuracy of these data products high quality, independently derived validation data are needed. High-resolution data were collected across a gradient of development within the Mid-Atlantic region to assess the accuracy of National Land Cover Data (NLCD) Landsat-based ISA estimates. Absolute error (satellite predicted area - \"reference area\") and relative error [satellite (predicted area - \"reference area\")/ \"reference area\"] were calculated for each of 240 sample regions that are each more than 15 Landsat pixels on a side. The ability to compile and examine ancillary data in a geographic information system environment provided for evaluation of both validation and NLCD data and afforded efficient exploration of observed errors. In a minority of cases, errors could be explained by temporal discontinuities between the date of satellite image capture and validation source data in rapidly changing places. In others, errors were created by vegetation cover over impervious surfaces and by other factors that bias the satellite processing algorithms. On average in the Mid-Atlantic region, the NLCD product underestimates ISA by approximately 5%. While the error range varies between 2 and 8%, this underestimation occurs regardless of development intensity. Through such analyses the errors, strengths, and weaknesses of particular satellite products can be explored to suggest appropriate uses for regional, satellite-based data in rapidly developing areas of environmental significance. ?? 2009 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1084-0699(2009)14:4(369)","issn":"10840699","usgsCitation":"Jones, J.W., and Jarnagin, T., 2009, Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high-resolution validation data set: Journal of Hydrologic Engineering, v. 14, no. 4, p. 369-376, https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(369).","startPage":"369","endPage":"376","numberOfPages":"8","costCenters":[],"links":[{"id":215176,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(2009)14:4(369)"},{"id":242958,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c32e4b0c8380cd52a8a","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":449125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnagin, T.","contributorId":15422,"corporation":false,"usgs":true,"family":"Jarnagin","given":"T.","email":"","affiliations":[],"preferred":false,"id":449124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034867,"text":"70034867 - 2009 - Tsunami exposure estimation with land-cover data: Oregon and the Cascadia subduction zone","interactions":[],"lastModifiedDate":"2012-03-12T17:21:42","indexId":"70034867","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami exposure estimation with land-cover data: Oregon and the Cascadia subduction zone","docAbstract":"A Cascadia subduction-zone earthquake has the potential to generate tsunami waves which would impact more than 1000 km of coastline on the west coast of the United States and Canada. Although the predictable extent of tsunami inundation is similar for low-lying land throughout the region, human use of tsunami-prone land varies, creating variations in community exposure and potential impacts. To better understand such variations, land-cover information derived from midresolution remotely-sensed imagery (e.g., 30-m-resolution Landsat Thematic Mapper imagery) was coupled with tsunami-hazard information to describe tsunami-prone land along the Oregon coast. Land-cover data suggest that 95% of the tsunami-prone land in Oregon is undeveloped and is primarily wetlands and unconsolidated shores. Based on Spearman rank correlation coefficients (rs), correlative relationships are strong and statistically significant (p < 0.05) between city-level estimates of the amount of land-cover pixels classified as developed (impervious cover greater than 20%) and the amount of various societal assets, including residential and employee populations, homes, businesses, and tax-parcel values. Community exposure to tsunami hazards, described here by the amount and relative percentage of developed land in tsunami-prone areas, varies considerably among the 26 communities of the study area, and these variations relate to city size. Correlative relationships are strong and significant (p < 0.05) for community exposure rankings based on land-cover data and those based on aggregated socioeconomic data. In the absence of socioeconomic data or community-based knowledge, the integration of hazards information and land-cover information derived from midresolution remotely-sensed imagery to estimate community exposure may be a useful first step in understanding variations in community vulnerability to regional hazards.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeog.2008.08.009","issn":"01436228","usgsCitation":"Wood, N., 2009, Tsunami exposure estimation with land-cover data: Oregon and the Cascadia subduction zone: Applied Geography, v. 29, no. 2, p. 158-170, https://doi.org/10.1016/j.apgeog.2008.08.009.","startPage":"158","endPage":"170","numberOfPages":"13","costCenters":[],"links":[{"id":243772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215935,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeog.2008.08.009"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8a6e4b08c986b3279b5","contributors":{"authors":[{"text":"Wood, N.","contributorId":82554,"corporation":false,"usgs":true,"family":"Wood","given":"N.","email":"","affiliations":[],"preferred":false,"id":448070,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034835,"text":"70034835 - 2009 - Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors","interactions":[],"lastModifiedDate":"2013-05-14T13:09:15","indexId":"70034835","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors","docAbstract":"This paper provides a summary of the current equations and rescaling factors for converting calibrated Digital Numbers (DNs) to absolute units of at-sensor spectral radiance, Top-Of-Atmosphere (TOA) reflectance, and at-sensor brightness temperature. It tabulates the necessary constants for the Multispectral Scanner (MSS), Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Advanced Land Imager (ALI) sensors. These conversions provide a basis for standardized comparison of data in a single scene or between images acquired on different dates or by different sensors. This paper forms a needed guide for Landsat data users who now have access to the entire Landsat archive at no cost.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.rse.2009.01.007","issn":"00344257","usgsCitation":"Chander, G., Markham, B.L., and Helder, D., 2009, Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors: Remote Sensing of Environment, v. 113, no. 5, p. 893-903, https://doi.org/10.1016/j.rse.2009.01.007.","startPage":"893","endPage":"903","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476320,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20090027884","text":"External Repository"},{"id":215876,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2009.01.007"},{"id":243710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9e5be4b08c986b31de47","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":447869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":447871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":447870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036281,"text":"70036281 - 2009 - SSTL UK-DMC SLIM-6 data quality assessment","interactions":[],"lastModifiedDate":"2017-04-03T15:00:08","indexId":"70036281","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"SSTL UK-DMC SLIM-6 data quality assessment","docAbstract":"Satellite data from the Surrey Satellite Technology Limited (SSTL) United Kingdom (UK) Disaster Monitoring Constellation (DMC) were assessed for geometric and radiometric quality. The UK-DMC Surrey Linear Imager 6 (SLIM-6) sensor has a 32-m spatial resolution and a ground swath width of 640 km. The UK-DMC SLIM-6 design consists of a three-band imager with green, red, and near-infrared bands that are set to similar bandpass as Landsat bands 2, 3, and 4. The UK-DMC data consisted of imagery registered to Landsat orthorectified imagery produced from the GeoCover program. Relief displacements within the UK-DMC SLIM-6 imagery were accounted for by using global 1-km digital elevation models available through the Global Land One-km Base Elevation (GLOBE) Project. Positional accuracy and relative band-to-band accuracy were measured. Positional accuracy of the UK-DMC SLIM-6 imagery was assessed by measuring the imagery against digital orthophoto quadrangles (DOQs), which are designed to meet national map accuracy standards at 1 : 24 000 scales; this corresponds to a horizontal root-mean-square accuracy of about 6 m. The UK-DMC SLIM-6 images were typically registered to within 1.0-1.5 pixels to the DOQ mosaic images. Several radiometric artifacts like striping, coherent noise, and flat detector were discovered and studied. Indications are that the SSTL UK-DMC SLIM-6 data have few artifacts and calibration challenges, and these can be adjusted or corrected via calibration and processing algorithms. The cross-calibration of the UK-DMC SLIM-6 and Landsat 7 Enhanced Thematic Mapper Plus was performed using image statistics derived from large common areas observed by the two sensors.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2009.2013206","issn":"01962892","usgsCitation":"Chander, G., Saunier, S., Choate, M., and Scaramuzza, P.L., 2009, SSTL UK-DMC SLIM-6 data quality assessment: IEEE Transactions on Geoscience and Remote Sensing, v. 47, no. 7, p. 2380-2391, https://doi.org/10.1109/TGRS.2009.2013206.","productDescription":"12 p.","startPage":"2380","endPage":"2391","numberOfPages":"12","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246213,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218222,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2009.2013206"}],"volume":"47","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaf84e4b0c8380cd87625","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":455244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunier, S.","contributorId":96914,"corporation":false,"usgs":true,"family":"Saunier","given":"S.","email":"","affiliations":[],"preferred":false,"id":455245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, M.J.","contributorId":41194,"corporation":false,"usgs":true,"family":"Choate","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":455243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scaramuzza, P. L. 0000-0002-2616-8456","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":107504,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"P.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":455246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034641,"text":"70034641 - 2009 - Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods","interactions":[],"lastModifiedDate":"2018-03-08T13:00:57","indexId":"70034641","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods","docAbstract":"The recent release of the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001, which represents the nation's land cover status based on a nominal date of 2001, is widely used as a baseline for national land cover conditions. To enable the updating of this land cover information in a consistent and continuous manner, a prototype method was developed to update land cover by an individual Landsat path and row. This method updates NLCD 2001 to a nominal date of 2006 by using both Landsat imagery and data from NLCD 2001 as the baseline. Pairs of Landsat scenes in the same season in 2001 and 2006 were acquired according to satellite paths and rows and normalized to allow calculation of change vectors between the two dates. Conservative thresholds based on Anderson Level I land cover classes were used to segregate the change vectors and determine areas of change and no-change. Once change areas had been identified, land cover classifications at the full NLCD resolution for 2006 areas of change were completed by sampling from NLCD 2001 in unchanged areas. Methods were developed and tested across five Landsat path/row study sites that contain several metropolitan areas including Seattle, Washington; San Diego, California; Sioux Falls, South Dakota; Jackson, Mississippi; and Manchester, New Hampshire. Results from the five study areas show that the vast majority of land cover change was captured and updated with overall land cover classification accuracies of 78.32%, 87.5%, 88.57%, 78.36%, and 83.33% for these areas. The method optimizes mapping efficiency and has the potential to provide users a flexible method to generate updated land cover at national and regional scales by using NLCD 2001 as the baseline.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.02.004","issn":"00344257","usgsCitation":"Xian, G., Homer, C.G., and Fry, J., 2009, Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods: Remote Sensing of Environment, v. 113, no. 6, p. 1133-1147, https://doi.org/10.1016/j.rse.2009.02.004.","productDescription":"15 p.","startPage":"1133","endPage":"1147","numberOfPages":"15","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2009.02.004"}],"volume":"113","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbd1fe4b08c986b328ed7","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":446823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","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":446822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fry, Joyce 0000-0002-8466-9582 jfry@usgs.gov","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":3147,"corporation":false,"usgs":true,"family":"Fry","given":"Joyce","email":"jfry@usgs.gov","affiliations":[],"preferred":true,"id":446824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037212,"text":"70037212 - 2009 - Monitoring urban land cover change by updating the national land cover database impervious surface products","interactions":[],"lastModifiedDate":"2022-05-19T15:23:30.505237","indexId":"70037212","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring urban land cover change by updating the national land cover database impervious surface products","docAbstract":"The U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001 is widely used as a baseline for national land cover and impervious conditions. To ensure timely and relevant data, it is important to update this base to a more recent time period. A prototype method was developed to update the land cover and impervious surface by individual Landsat path and row. This method updates NLCD 2001 to a nominal date of 2006 by using both Landsat imagery and data from NLCD 2001 as the baseline. Pairs of Landsat scenes in the same season from both 2001 and 2006 were acquired according to satellite paths and rows and normalized to allow calculation of change vectors between the two dates. Conservative thresholds based on Anderson Level I land cover classes were used to segregate the change vectors and determine areas of change and no-change. Once change areas had been identified, impervious surface was estimated for areas of change by sampling from NLCD 2001 in unchanged areas. Methods were developed and tested across five Landsat path/row study sites that contain a variety of metropolitan areas. Results from the five study areas show that the vast majority of impervious surface changes associated with urban developments were accurately captured and updated. The approach optimizes mapping efficiency and can provide users a flexible method to generate updated impervious surface at national and regional scales.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2009 Joint urban remote sensing event","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2009 Joint Urban Remote Sensing Event","conferenceDate":"may 20-22, 2009","conferenceLocation":"Shanghai, China","language":"English","publisher":"IEEE","doi":"10.1109/URS.2009.5137597","usgsCitation":"Xian, G.Z., and Homer, C.G., 2009, Monitoring urban land cover change by updating the national land cover database impervious surface products, in 2009 Joint urban remote sensing event, Shanghai, China, may 20-22, 2009, p. 1-5, https://doi.org/10.1109/URS.2009.5137597.","productDescription":"5 p.","startPage":"1","endPage":"5","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dfae4b0c8380cd70713","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":459916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","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":459915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036083,"text":"70036083 - 2009 - Using the Sonoran Desert test site to monitor the long-term radiometric stability of the Landsat TM/ETM+ and Terra MODIS sensors","interactions":[],"lastModifiedDate":"2022-05-19T14:18:38.696349","indexId":"70036083","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using the Sonoran Desert test site to monitor the long-term radiometric stability of the Landsat TM/ETM+ and Terra MODIS sensors","docAbstract":"Pseudo-invariant ground targets have been extensively used to monitor the long-term radiometric calibration stability of remote sensing instruments. The NASA MODIS Characterization Support Team (MCST), in collaboration with members from the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, has previously demonstrated the use of pseudo-invariant ground sites for the long-term stability monitoring of Terra MODIS and Landsat 7 ETM+ sensors. This paper focuses on the results derived from observations made over the Sonoran Desert. Additionally, Landsat 5 TM data over the Sonoran Desert site were used to evaluate the temporal stability of this site. Top-ofatmosphere (TOA) reflectances were computed for the closely matched TM, ETM+, and MODIS spectral bands over selected regions of interest. The impacts due to different viewing geometries, or the effect of test site Bi-directional Reflectance Distribution Function (BRDF), are also presented. ?? 2009 SPIE.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III","conferenceDate":"Aug 5-6, 2009","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.825075","usgsCitation":"Angal, A., Xiong, X., Choi, T., Chander, G., and Wu, A., 2009, Using the Sonoran Desert test site to monitor the long-term radiometric stability of the Landsat TM/ETM+ and Terra MODIS sensors, in Proceedings of SPIE - The International Society for Optical Engineering, v. 7456, San Diego, CA, Aug 5-6, 2009, 745606, https://doi.org/10.1117/12.825075.","productDescription":"745606","ipdsId":"IP-015217","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246528,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7456","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc0b3e4b08c986b32a290","contributors":{"authors":[{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":454100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":454096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choi, T.","contributorId":48698,"corporation":false,"usgs":true,"family":"Choi","given":"T.","affiliations":[],"preferred":false,"id":454098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":454099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, A.","contributorId":44019,"corporation":false,"usgs":true,"family":"Wu","given":"A.","email":"","affiliations":[],"preferred":false,"id":454097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034424,"text":"70034424 - 2009 - Arctic lake physical processes and regimes with implications for winter water availability and management in the national petroleum reserve alaska","interactions":[],"lastModifiedDate":"2018-08-19T20:06:11","indexId":"70034424","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Arctic lake physical processes and regimes with implications for winter water availability and management in the national petroleum reserve alaska","docAbstract":"Lakes are dominant landforms in the National Petroleum Reserve Alaska (NPRA) as well as important social and ecological resources. Of recent importance is the management of these freshwater ecosystems because lakes deeper than maximum ice thickness provide an important and often sole source of liquid water for aquatic biota, villages, and industry during winter. To better understand seasonal and annual hydrodynamics in the context of lake morphometry, we analyzed lakes in two adjacent areas where winter water use is expected to increase in the near future because of industrial expansion. Landsat Thematic Mapper and Enhanced Thematic Mapper Plus imagery acquired between 1985 and 2007 were analyzed and compared with climate data to understand interannual variability. Measured changes in lake area extent varied by 0.6% and were significantly correlated to total precipitation in the preceding 12 months (p < 0.05). Using this relation, the modeled lake area extent from 1985 to 2007 showed no long-term trends. In addition, high-resolution aerial photography, bathymetric surveys, water-level monitoring, and lake-ice thickness measurements and growth models were used to better understand seasonal hydrodynamics, surface area-to-volume relations, winter water availability, and more permanent changes related to geomorphic change. Together, these results describe how lakes vary seasonally and annually in two critical areas of the NPRA and provide simple models to help better predict variation in lake-water supply. Our findings suggest that both overestimation and underestimation of actual available winter water volume may occur regularly, and this understanding may help better inform management strategies as future resource use expands in the NPRA. ?? 2008 Springer Science+Business Media, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-008-9241-0","issn":"0364152X","usgsCitation":"Jones, B.M., Arp, C., Hinkel, K.M., Beck, R., Schmutz, J.A., and Winston, B., 2009, Arctic lake physical processes and regimes with implications for winter water availability and management in the national petroleum reserve alaska: Environmental Management, v. 43, no. 6, p. 1071-1084, https://doi.org/10.1007/s00267-008-9241-0.","startPage":"1071","endPage":"1084","numberOfPages":"14","costCenters":[],"links":[{"id":244823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216921,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-008-9241-0"}],"volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-12-20","publicationStatus":"PW","scienceBaseUri":"5059ed55e4b0c8380cd4973f","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":445719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":445720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, R.A.","contributorId":44246,"corporation":false,"usgs":true,"family":"Beck","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":445718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":445716,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winston, B.","contributorId":89379,"corporation":false,"usgs":true,"family":"Winston","given":"B.","email":"","affiliations":[],"preferred":false,"id":445721,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036917,"text":"70036917 - 2009 - Monitoring forest changes in the southwestern United States using multitemporal Landsat data","interactions":[],"lastModifiedDate":"2017-04-05T11:28:32","indexId":"70036917","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring forest changes in the southwestern United States using multitemporal Landsat data","docAbstract":"Landsat time series data sets were acquired for the Santa Fe National Forest in New Mexico. This area includes the San Pedro Parks Wilderness area, which was designated as an official wilderness in 1964. Eight autumnal Landsat Thematic Mapper (TM) scenes acquired from 1988 to 2006 were analyzed to determine whether significant changes have occurred throughout the region during the past 18 years and, if so, to assess whether the changes are long-term and gradual or short-term and abrupt. It was found that, starting in about 1995, many of the conifer stands within the Wilderness area showed consistently gradual and marked increases in the Shortwave Infrared/Near Infrared Index. These trends generally imply decreases in canopy greenness or increases in mortality. Other high-elevation conifer forests located outside of the Wilderness area showed similar spectral trends, indicating that changes are potentially widespread. The spatial patterns of forest damage as inferred from the image analyses were very similar to the general patterns of insect defoliation damage mapped via aerial sketch mapping by the United States Department of Agriculture Forest Service Forest Health Monitoring Program. A field visit indicated that zones of spectral change are associated with high levels of forest damage and mortality, likely caused by a combination of insects and drought. The study demonstrates the effectiveness of using historical Landsat data for providing objective and consistent long-term assessments of the gradual ecosystem changes that are occurring within the western United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.04.014","issn":"00344257","usgsCitation":"Vogelmann, J., Tolk, B.L., and Zhu, Z., 2009, Monitoring forest changes in the southwestern United States using multitemporal Landsat data: Remote Sensing of Environment, v. 113, no. 8, p. 1739-1748, https://doi.org/10.1016/j.rse.2009.04.014.","productDescription":"10 p.","startPage":"1739","endPage":"1748","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476269,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10654/38989","text":"External Repository"},{"id":245620,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217663,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2009.04.014"}],"volume":"113","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dace4b0c8380cd7050a","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":458465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tolk, Brian L. 0000-0002-9060-0266 tolk@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":2992,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","email":"tolk@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":458466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":458464,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037107,"text":"70037107 - 2009 - Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037107","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium","docAbstract":"A Global Irrigated Area Map (GIAM) has been produced for the end of the last millennium using multiple satellite sensor, secondary, Google Earth and groundtruth data. The data included: (a) Advanced Very High Resolution Radiometer (AVHRR) 3-band and Normalized Difference Vegetation Index (NDVI) 10 km monthly time-series for 1997-1999, (b) Syste me pour l'Observation de la Terre Vegetation (SPOT VGT) NDVI 1 km monthly time series for 1999, (c) East Anglia University Climate Research Unit (CRU) rainfall 50km monthly time series for 1961-2000, (d) Global 30 Arc-Second Elevation Data Set (GTOPO30) 1 km digital elevation data of the World, (e) Japanese Earth Resources Satellite-1 Synthetic Aperture Radar (JERS-1 SAR) data for the rain forests during two seasons in 1996 and (f) University of Maryland Global Tree Cover 1 km data for 1992-1993. A single mega-file data-cube (MFDC) of the World with 159 layers, akin to hyperspectral data, was composed by re-sampling different data types into a common 1 km resolution. The MFDC was segmented based on elevation, temperature and precipitation zones. Classification was performed on the segments. Quantitative spectral matching techniques (SMTs) used in hyperspectral data analysis were adopted to group class spectra derived from unsupervised classification and match them with ideal or target spectra. A rigorous class identification and labelling process involved the use of: (a) space-time spiral curve (ST-SC) plots, (b) brightness-greenness-wetness (BGW) plots, (c) time series NDVI plots, (d) Google Earth very-high-resolution imagery (VHRI) 'zoom-in views' in over 11 000 locations, (e) groundtruth data broadly sourced from the degree confluence project (3 864 sample locations) and from the GIAM project (1 790 sample locations), (f) high-resolution Landsat-ETM+ Geocover 150m mosaic of the World and (g) secondary data (e.g. national and global land use and land cover data). Mixed classes were resolved based on decision tree algorithms and spatial modelling, and when that did not work, the problem class was used to mask and re-classify the MDFC, and the class identification and labelling protocol repeated. The sub-pixel area (SPA) calculations were performed by multiplying full-pixel areas (FPAs) with irrigated area fractions (IAFs) for every class. A 28 class GIAM was produced and the area statistics reported as: (a) annualized irrigated areas (AIAs), which consider intensity of irrigation (i.e. sum of irrigated areas from different seasons in a year plus continuous year-round irrigation or gross irrigated areas), and (b) total area available for irrigation (TAAI), which does not consider intensity of irrigation (i.e. irrigated areas at any given point of time plus the areas left fallow but 'equipped for irrigation' at the same point of time or net irrigated areas). The AIA of the World at the end of the last millennium was 467 million hectares (Mha), which is sum of the non-overlapping areas of: (a) 252 Mha from season one, (b) 174 Mha from season two and (c) 41 Mha from continuous year-round crops. The TAAI at the end of the last millennium was 399 Mha. The distribution of irrigated areas is highly skewed amongst continents and countries. Asia accounts for 79% (370 Mha) of all AIAs, followed by Europe (7%) and North America (7%). Three continents, South America (4%), Africa (2%) and Australia (1%), have a very low proportion of the global irrigation. The GIAM had an accuracy of 79-91%, with errors of omission not exceeding 21%, and the errors of commission not exceeding 23%. The GIAM statistics were also compared with: (a) the United Nations Food and Agricultural Organization (FAO) and University of Frankfurt (UF) derived irrigated areas and (b) national census data for India. The relationships and causes of differences are discussed in detail. The GIAM products are made available through a web portal (http://www.iwmigiam.org). ?? 2009 Taylor & Francis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/01431160802698919","issn":"01431161","usgsCitation":"Thenkabail, P., Biradar, C., Noojipady, P., Dheeravath, V., Li, Y., Velpuri, M., Gumma, M., Gangalakunta, O., Turral, H., Cai, X., Vithanage, J., Schull, M., and Dutta, R., 2009, Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium: International Journal of Remote Sensing, v. 30, no. 14, p. 3679-3733, https://doi.org/10.1080/01431160802698919.","startPage":"3679","endPage":"3733","numberOfPages":"55","costCenters":[],"links":[{"id":217424,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160802698919"},{"id":245370,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"14","noUsgsAuthors":false,"publicationDate":"2009-07-24","publicationStatus":"PW","scienceBaseUri":"505a294ce4b0c8380cd5a827","contributors":{"authors":[{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":459406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":459400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noojipady, P.","contributorId":42453,"corporation":false,"usgs":true,"family":"Noojipady","given":"P.","affiliations":[],"preferred":false,"id":459402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":459404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Y.","contributorId":41394,"corporation":false,"usgs":true,"family":"Li","given":"Y.","affiliations":[],"preferred":false,"id":459401,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Velpuri, M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":7935,"corporation":false,"usgs":true,"family":"Velpuri","given":"M.","affiliations":[],"preferred":false,"id":459397,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gumma, M.","contributorId":7942,"corporation":false,"usgs":true,"family":"Gumma","given":"M.","email":"","affiliations":[],"preferred":false,"id":459398,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gangalakunta, O.R.P.","contributorId":84588,"corporation":false,"usgs":true,"family":"Gangalakunta","given":"O.R.P.","email":"","affiliations":[],"preferred":false,"id":459408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Turral, H.","contributorId":50750,"corporation":false,"usgs":true,"family":"Turral","given":"H.","affiliations":[],"preferred":false,"id":459403,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cai, X.","contributorId":95294,"corporation":false,"usgs":true,"family":"Cai","given":"X.","email":"","affiliations":[],"preferred":false,"id":459409,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vithanage, J.","contributorId":62860,"corporation":false,"usgs":true,"family":"Vithanage","given":"J.","email":"","affiliations":[],"preferred":false,"id":459405,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schull, M.A.","contributorId":70618,"corporation":false,"usgs":true,"family":"Schull","given":"M.A.","affiliations":[],"preferred":false,"id":459407,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dutta, R.","contributorId":17452,"corporation":false,"usgs":true,"family":"Dutta","given":"R.","email":"","affiliations":[],"preferred":false,"id":459399,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70037127,"text":"70037127 - 2009 - Lysimetric evaluation of simplified surface energy balance approach in the Texas high plains","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037127","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":833,"text":"Applied Engineering in Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Lysimetric evaluation of simplified surface energy balance approach in the Texas high plains","docAbstract":"Numerous energy balance (EB) algorithms have been developed to make use of remote sensing data to estimate evapotranspiration (ET) regionally. However, most EB models are complex to use and efforts are being made to simplify procedures mainly through the scaling of reference ET. The Simplified Surface Energy Balance (SSEB) is one such method. This approach has never been evaluated using measured ET data. In this study, the SSEB approach was applied to 14 Landsat TM images covering a major portion of the Southern High Plains that were acquired during 2006 and 2007 cropping seasons. Performance of the SSEB was evaluated by comparing estimated ET with measured daily ET from four large monolithic lysimeters at the USDA-ARS Conservation and Production Research Laboratory, Bushland, Texas. Statistical evaluation of results indicated that the SSEB accounted for 84% of the variability in the measured ET values with a slope and intercept of 0.75 and 1.1 mm d-1, respectively. Considering the minimal amount of ancillary data required and excellent performance in predicting daily ET, the SSEB approach is a promising tool for mapping ET in the semiarid Texas High Plains and in other parts of the world with similar hydro-climatic conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Engineering in Agriculture","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"08838542","usgsCitation":"Gowda, P., Senay, G., Howell, T., and Marek, T., 2009, Lysimetric evaluation of simplified surface energy balance approach in the Texas high plains: Applied Engineering in Agriculture, v. 25, no. 5, p. 665-669.","startPage":"665","endPage":"669","numberOfPages":"5","costCenters":[],"links":[{"id":245178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4aa5e4b0c8380cd68f1a","contributors":{"authors":[{"text":"Gowda, P.H.","contributorId":63652,"corporation":false,"usgs":true,"family":"Gowda","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":459505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, G.B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":17741,"corporation":false,"usgs":true,"family":"Senay","given":"G.B.","affiliations":[],"preferred":false,"id":459502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howell, T.A.","contributorId":57694,"corporation":false,"usgs":true,"family":"Howell","given":"T.A.","affiliations":[],"preferred":false,"id":459504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marek, T.H.","contributorId":38815,"corporation":false,"usgs":true,"family":"Marek","given":"T.H.","email":"","affiliations":[],"preferred":false,"id":459503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037189,"text":"70037189 - 2009 - Cross-comparison of the IRS-P6 AWiFS sensor with the L5 TM, L7 ETM+, & Terra MODIS sensors","interactions":[],"lastModifiedDate":"2022-05-19T14:25:59.144914","indexId":"70037189","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cross-comparison of the IRS-P6 AWiFS sensor with the L5 TM, L7 ETM+, & Terra MODIS sensors","docAbstract":"As scientists and decision makers increasingly rely on multiple Earth-observing satellites to address urgent global issues, it is imperative that they can rely on the accuracy of Earth-observing data products. This paper focuses on the crosscomparison of the Indian Remote Sensing (IRS-P6) Advanced Wide Field Sensor (AWiFS) with the Landsat 5 (L5) Thematic Mapper (TM), Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+), and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. The cross-comparison was performed using image statistics based on large common areas observed by the sensors within 30 minutes. Because of the limited availability of simultaneous observations between the AWiFS and the Landsat and MODIS sensors, only a few images were analyzed. These initial results are presented. Regression curves and coefficients of determination for the top-of-atmosphere (TOA) trends from these sensors were generated to quantify the uncertainty in these relationships and to provide an assessment of the calibration differences between these sensors. ?? 2009 SPIE.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Sensors, Systems, and Next-Generation Satellites XIII","conferenceDate":"Aug 31-Sep 3, 2009","conferenceLocation":"Berlin, Germany","language":"English","publisher":"SPIE","doi":"10.1117/12.830502","usgsCitation":"Chander, G., Xiong, X., Angal, A., Choi, T., and Malla, R., 2009, Cross-comparison of the IRS-P6 AWiFS sensor with the L5 TM, L7 ETM+, & Terra MODIS sensors, in Proceedings of SPIE - The International Society for Optical Engineering, v. 7474, Berlin, Germany, Aug 31-Sep 3, 2009, 74740Z, https://doi.org/10.1117/12.830502.","productDescription":"74740Z","ipdsId":"IP-016645","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245183,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7474","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcc2e4b0c8380cd4e404","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":459825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":459823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":459826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, T.","contributorId":48698,"corporation":false,"usgs":true,"family":"Choi","given":"T.","affiliations":[],"preferred":false,"id":459824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malla, R.","contributorId":9866,"corporation":false,"usgs":true,"family":"Malla","given":"R.","email":"","affiliations":[],"preferred":false,"id":459822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034828,"text":"70034828 - 2009 - Climatic effects of 30 years of landscape change over the Greater Phoenix, Arizona, region: 1. Surface energy budget changes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:42","indexId":"70034828","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Climatic effects of 30 years of landscape change over the Greater Phoenix, Arizona, region: 1. Surface energy budget changes","docAbstract":"This paper is part 1 of a two-part study that evaluates the climatic effects of recent landscape change for one of the nation's most rapidly expanding metropolitan complexes, the Greater Phoenix, Arizona, region. The region's landscape evolution over an approximate 30-year period since the early 1970s is documented on the basis of analyses of Landsat images and land use/land cover (LULC) data sets derived from aerial photography (1973) and Landsat (1992 and 2001). High-resolution, Regional Atmospheric Modeling System (RAMS), simulations (2-km grid spacing) are used in conjunction with consistently defined land cover data sets and associated biophysical parameters for the circa 1973, circa 1992, and circa 2001 time periods to quantify the impacts of intensive land use changes on the July surface temperatures and the surface radiation and energy budgets for the Greater Phoenix region. The main findings are as follows: since the early 1970s the region's landscape has been altered by a significant increase in urban/suburban land area, primarily at the expense of decreasing plots of irrigated agriculture and secondarily by the conversion of seminatural shrubland. Mean regional temperatures for the circa 2001 landscape were 0.12??C warmer than the circa 1973 landscape, with maximum temperature differences, located over regions of greatest urbanization, in excess of 1??C. The significant reduction in irrigated agriculture, for the circa 2001 relative to the circa 1973 landscape, resulted in dew point temperature decreases in excess of 1??C. The effect of distinct land use conversion themes (e.g., conversion from irrigated agriculture to urban land) was also examined to evaluate how the most important conversion themes have each contributed to the region's changing climate. The two urbanization themes studied (from an initial landscape of irrigated agriculture and seminatural shrubland) have the greatest positive effect on near-surface temperature, increasing maximum daily temperatures by 1??C. Overall, sensible heat flux differences between the circa 2001 and circa 1973 landscapes result in a 1 W m-2 increase in domain-wide sensible heating, and a similar order of magnitude decrease in latent heating, highlighting the importance of surface repartitioning in establishing near-surface temperature trends. In part 2 of this study, we address the role of the surface budget changes on the mesoscale dynamics/thermodynamics, in context of the large-scale environment. Copyright 2009 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research D: Atmospheres","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JD010745","issn":"01480227","usgsCitation":"Georgescu, M., Miguez-Macho, G., Steyaert, L.T., and Weaver, C., 2009, Climatic effects of 30 years of landscape change over the Greater Phoenix, Arizona, region: 1. Surface energy budget changes: Journal of Geophysical Research D: Atmospheres, v. 114, no. 5, https://doi.org/10.1029/2008JD010745.","costCenters":[],"links":[{"id":476513,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jd010745","text":"Publisher Index Page"},{"id":215760,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JD010745"},{"id":243583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"5","noUsgsAuthors":false,"publicationDate":"2009-03-11","publicationStatus":"PW","scienceBaseUri":"5059f664e4b0c8380cd4c72c","contributors":{"authors":[{"text":"Georgescu, M.","contributorId":98541,"corporation":false,"usgs":true,"family":"Georgescu","given":"M.","email":"","affiliations":[],"preferred":false,"id":447831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miguez-Macho, G.","contributorId":32354,"corporation":false,"usgs":true,"family":"Miguez-Macho","given":"G.","email":"","affiliations":[],"preferred":false,"id":447828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steyaert, L. T.","contributorId":71303,"corporation":false,"usgs":true,"family":"Steyaert","given":"L.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":447830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weaver, C.P.","contributorId":70602,"corporation":false,"usgs":true,"family":"Weaver","given":"C.P.","affiliations":[],"preferred":false,"id":447829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036615,"text":"70036615 - 2009 - Regional estimates of reef carbonate dynamics and productivity Using Landsat 7 ETM+, and potential impacts from ocean acidification","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036615","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Regional estimates of reef carbonate dynamics and productivity Using Landsat 7 ETM+, and potential impacts from ocean acidification","docAbstract":"Using imagery at 30 m spatial resolution from the most recent Landsat satellite, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), we scale up reef metabolic productivity and calcification from local habitat-scale (10 -1 to 100 km2) measurements to regional scales (103 to 104 km2). Distribution and spatial extent of the North Florida Reef Tract (NFRT) habitats come from supervised classification of the Landsat imagery within independent Landsat-derived Millennium Coral Reef Map geomorphologic classes. This system minimizes the depth range and variability of benthic habitat characteristics found in the area of supervised classification and limits misclassification. Classification of Landsat imagery into 5 biotopes (sand, dense live cover, sparse live cover, seagrass, and sparse seagrass) by geomorphologic class is >73% accurate at regional scales. Based on recently published habitat-scale in situ metabolic measurements, gross production (P = 3.01 ?? 109 kg C yr -1), excess production (E = -5.70 ?? 108 kg C yr -1), and calcification (G = -1.68 ?? 106 kg CaCO 3 yr-1) are estimated over 2711 km2 of the NFRT. Simple models suggest sensitivity of these values to ocean acidification, which will increase local dissolution of carbonate sediments. Similar approaches could be applied over large areas with poorly constrained bathymetry or water column properties and minimal metabolic sampling. This tool has potential applications for modeling and monitoring large-scale environmental impacts on reef productivity, such as the influence of ocean acidification on coral reef environments. ?? Inter-Research 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3354/meps07920","issn":"01718630","usgsCitation":"Moses, C., Andrefouet, S., Kranenburg, C., and Muller-Karger, F., 2009, Regional estimates of reef carbonate dynamics and productivity Using Landsat 7 ETM+, and potential impacts from ocean acidification: Marine Ecology Progress Series, v. 380, p. 103-115, https://doi.org/10.3354/meps07920.","startPage":"103","endPage":"115","numberOfPages":"13","costCenters":[],"links":[{"id":487884,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps07920","text":"Publisher Index Page"},{"id":245630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217671,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps07920"}],"volume":"380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a4c6e4b0e8fec6cdbc63","contributors":{"authors":[{"text":"Moses, C.S.","contributorId":47617,"corporation":false,"usgs":true,"family":"Moses","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":457013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrefouet, S.","contributorId":43134,"corporation":false,"usgs":true,"family":"Andrefouet","given":"S.","affiliations":[],"preferred":false,"id":457012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kranenburg, C.","contributorId":88585,"corporation":false,"usgs":true,"family":"Kranenburg","given":"C.","affiliations":[],"preferred":false,"id":457015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muller-Karger, F. E.","contributorId":84542,"corporation":false,"usgs":true,"family":"Muller-Karger","given":"F. E.","affiliations":[],"preferred":false,"id":457014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036713,"text":"70036713 - 2009 - Developing collaborative classifiers using an expert-based model","interactions":[],"lastModifiedDate":"2021-03-11T12:48:47.131424","indexId":"70036713","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing collaborative classifiers using an expert-based model","docAbstract":"This paper presents a hierarchical, multi-stage adaptive strategy for image classification. We iteratively apply various classification methods (e.g., decision trees, neural networks), identify regions of parametric and geographic space where accuracy is low, and in these regions, test and apply alternate methods repeating the process until the entire image is classified. Currently, classifiers are evaluated through human input using an expert-based system; therefore, this paper acts as the proof of concept for collaborative classifiers. Because we decompose the problem into smaller, more manageable sub-tasks, our classification exhibits increased flexibility compared to existing methods since classification methods are tailored to the idiosyncrasies of specific regions. A major benefit of our approach is its scalability and collaborative support since selected low-accuracy classifiers can be easily replaced with others without affecting classification accuracy in high accuracy areas. At each stage, we develop spatially explicit accuracy metrics that provide straightforward assessment of results by non-experts and point to areas that need algorithmic improvement or ancillary data. Our approach is demonstrated in the task of detecting impervious surface areas, an important indicator for human-induced alterations to the environment, using a 2001 Landsat scene from Las Vegas, Nevada.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.75.7.831","issn":"00991112","usgsCitation":"Mountrakis, G., Watts, R., Luo, L., and Wang, J., 2009, Developing collaborative classifiers using an expert-based model: Photogrammetric Engineering and Remote Sensing, v. 75, no. 7, p. 831-843, https://doi.org/10.14358/PERS.75.7.831.","productDescription":"13 p.","startPage":"831","endPage":"843","costCenters":[],"links":[{"id":476416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.75.7.831","text":"Publisher Index Page"},{"id":384246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.79589843749999,\n 35.746512259918504\n ],\n [\n -114.6533203125,\n 35.746512259918504\n ],\n [\n -114.6533203125,\n 36.66841891894786\n ],\n [\n -115.79589843749999,\n 36.66841891894786\n ],\n [\n -115.79589843749999,\n 35.746512259918504\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a000ee4b0c8380cd4f56f","contributors":{"authors":[{"text":"Mountrakis, G.","contributorId":53204,"corporation":false,"usgs":true,"family":"Mountrakis","given":"G.","email":"","affiliations":[],"preferred":false,"id":457479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, R.","contributorId":15442,"corporation":false,"usgs":true,"family":"Watts","given":"R.","email":"","affiliations":[],"preferred":false,"id":457477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luo, L.","contributorId":51515,"corporation":false,"usgs":true,"family":"Luo","given":"L.","email":"","affiliations":[],"preferred":false,"id":457478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Jingyuan","contributorId":10771,"corporation":false,"usgs":false,"family":"Wang","given":"Jingyuan","email":"","affiliations":[],"preferred":false,"id":457476,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036863,"text":"70036863 - 2009 - Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States","interactions":[],"lastModifiedDate":"2017-04-03T16:04:15","indexId":"70036863","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States","docAbstract":"The national forests (NFs) in the United States are protected areas managed for multiple purposes, and therefore are subject to both natural and anthropogenic disturbances. Monitoring forest changes arising from such disturbances and the post-disturbance recovery processes is essential for assessing the conditions of the NFs and the effectiveness of management approaches. In this study, we used time series stacks of Landsat images (LTSS) to evaluate the dynamics of seven NFs in eastern United States, including the De Soto NF, the Talladega NF, the Francis Marion NF, and the Uwharrie NF in southeastern U.S., and the Chequamegon NF, the Hiawatha NF, and the Superior NF in northern U.S. Each LTSS consisted of 12–14 Landsat images acquired for the same location, spanning from 1984 to 2006 with a nominal interval of one image every 2 years. Each LTSS was analyzed using a vegetation change tracker (VCT) algorithm to map forest disturbance. Accuracy assessments of the derived disturbance maps revealed that they had overall accuracy values of about 80%, with most of the disturbance classes having user's accuracies ranging from 70% to 95%. The producer's accuracies were generally lower, with the majority being in the range between 50% and 70%. While this may suggest that the disturbance maps could slightly underestimate disturbances, a more detailed assessment of the omission errors revealed that the majority of the disagreements were due to minor disturbances like thinning or storm damages that were identified by the image analysts but were not captured by the VCT algorithm.
The derived disturbance year maps revealed that while each of the seven NFs consisted of 90% or more forest land, significant portions of the forests were disturbed since 1984. Mapped disturbances accounted for about 30%–45% of total land area in the four NFs in southeastern U.S. and about 10%–20% in the three NFs in northern U.S. The disturbance rates were generally higher in the buffer zones surrounding each NF, and varied considerably over time. The time series approach employed in this study represents a new approach for monitoring forest resources using the Landsat or similar satellite data records. The disturbance products derived using this approach were spatially explicit and contained much more temporal details than conventional bi-temporal change products, and likely will be found more useful by many users including ecologists and resources managers. The high disturbance rates found in the southeastern U.S. suggest that this region may have a more significant role in modulating the atmospheric carbon budget than currently recognized.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2008.06.016","issn":"00344257","usgsCitation":"Huang, C., Goward, S., Schleeweis, K., Thomas, N., Masek, J.G., and Zhu, Z., 2009, Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States: Remote Sensing of Environment, v. 113, no. 7, p. 1430-1442, https://doi.org/10.1016/j.rse.2008.06.016.","productDescription":"13 p.","startPage":"1430","endPage":"1442","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217718,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2008.06.016"}],"volume":"113","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0434e4b0c8380cd50855","contributors":{"authors":[{"text":"Huang, C.","contributorId":65255,"corporation":false,"usgs":true,"family":"Huang","given":"C.","email":"","affiliations":[],"preferred":false,"id":458182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goward, S.N.","contributorId":94514,"corporation":false,"usgs":true,"family":"Goward","given":"S.N.","affiliations":[],"preferred":false,"id":458184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schleeweis, K.","contributorId":10258,"corporation":false,"usgs":true,"family":"Schleeweis","given":"K.","affiliations":[],"preferred":false,"id":458180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, N.","contributorId":72490,"corporation":false,"usgs":true,"family":"Thomas","given":"N.","email":"","affiliations":[],"preferred":false,"id":458183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masek, J. G.","contributorId":105883,"corporation":false,"usgs":true,"family":"Masek","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":458185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Z.","contributorId":10898,"corporation":false,"usgs":true,"family":"Zhu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":458181,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70161751,"text":"70161751 - 2009 - Mapping and monitoring Mt. Graham Red Squirrel habitat with GIS and thematic mapper imagery","interactions":[],"lastModifiedDate":"2016-12-28T14:58:32","indexId":"70161751","displayToPublicDate":"2008-12-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mapping and monitoring Mt. Graham Red Squirrel habitat with GIS and thematic mapper imagery","docAbstract":"To estimate the Mt. Graham red squirrel (MGRS) population, personnel visit a proportion of middens each year to determine their occupancy (Snow in this vol.). The method results in very tight confidence intervals (high precision), but the accuracy of the population estimate is dependent upon knowing where all the middens are located. I hypothesized that there might be areas outside the survey boundary that contained Mt. Graham red squirrel middens, but the ruggedness of the Pinaleno Mountains made mountain-wide surveys difficult. Therefore, I started exploring development of a spatially explicit (geographic information system [GIS]-based) habitat model in 1998 that could identify MGRS habitat remotely with satellite imagery and a GIS. A GIS-based model would also allow us to assess changes in MGRS habitat between two time periods because Landsat passes over the same location every 16 days, imaging the earth in 185 km swaths (Aronoff 1989). Specifically, the objectives of this analysis were to (1) develop a pattern recognition model for MGRS habitat, (2) map potential (predicted/modeled) MGRS habitat, (3) identify changes in potential MGRS habitat between 1993 and 2003, and (4) evaluate the current location of the MGRS survey boundary.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Last Refuge of the Mt. Graham Red Squirrel","language":"English","publisher":"The University of Arizona Press","publisherLocation":"Tuscon, AR","usgsCitation":"Hatten, J.R., and Koprowski, J., 2009, Mapping and monitoring Mt. Graham Red Squirrel habitat with GIS and thematic mapper imagery, chap. of The Last Refuge of the Mt. Graham Red Squirrel, p. 170-184.","productDescription":"15 p.","startPage":"170","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":313841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313839,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.uapress.arizona.edu/Books/bid2085.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Pinaleno Moutnains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.08712768554688,\n 32.816132537537115\n ],\n [\n -110.12969970703125,\n 32.7872745269555\n ],\n [\n -110.13656616210938,\n 32.74801260358348\n ],\n [\n -110.06790161132812,\n 32.68446402087723\n ],\n [\n -109.9566650390625,\n 32.63012300670739\n ],\n [\n -109.90585327148438,\n 32.590791901737916\n ],\n [\n -109.87701416015624,\n 32.53986719301091\n ],\n [\n -109.85504150390625,\n 32.465743313283596\n ],\n [\n -109.80148315429688,\n 32.43213582305027\n ],\n [\n -109.70809936523438,\n 32.439090125173585\n ],\n [\n -109.71908569335938,\n 32.498180028410744\n ],\n [\n -109.6929931640625,\n 32.501654697288004\n ],\n [\n -109.69848632812499,\n 32.5873206809137\n ],\n [\n -109.73419189453125,\n 32.69255453660822\n ],\n [\n -109.8028564453125,\n 32.76418137510082\n ],\n [\n -109.87152099609375,\n 32.79651010951669\n ],\n [\n -110.02395629882812,\n 32.82767311846155\n ],\n [\n -110.05966186523438,\n 32.82305706600969\n ],\n [\n -110.08712768554688,\n 32.816132537537115\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf747e4b0e7a44bc0f176","contributors":{"editors":[{"text":"Sanderson, H. Reed","contributorId":152043,"corporation":false,"usgs":false,"family":"Sanderson","given":"H.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":587647,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Koprowski, John L.","contributorId":20057,"corporation":false,"usgs":true,"family":"Koprowski","given":"John L.","affiliations":[],"preferred":false,"id":587648,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":587646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koprowski, John L.","contributorId":20057,"corporation":false,"usgs":true,"family":"Koprowski","given":"John L.","affiliations":[],"preferred":false,"id":656803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":77493,"text":"i2600C - 2009 - Coastal-Change and Glaciological Map of the Palmer Land Area, Antarctica: 1947-2009 ","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"i2600C","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2009","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":"C","title":"Coastal-Change and Glaciological Map of the Palmer Land Area, Antarctica: 1947-2009 ","docAbstract":"Reduction in the area and volume of the two polar ice sheets is intricately linked to changes in global climate, and the resulting rise in sea level could severely impact the densely populated coastal regions on Earth. Antarctica is Earth's largest reservoir of glacial ice. Melting of the West Antarctic part alone of the Antarctic ice sheet would cause a sea-level rise of approximately 6 meters (m), and 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). The mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is highly complex, responding differently to different climatic and other 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 known to be thickening in the west, it is thinning in the north. The mass balance of the East Antarctic ice sheet is thought by Davis and others (2005) to be positive on the basis of the change in satellite-altimetry measurements made between 1992 and 2003. \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 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 cryospheric 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) images (and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images), RADARSAT images, aerial photography, 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) (Williams and others, 1995; Swithinbank and others, 2003a,b, 2004; Ferrigno and others, 2002, 2005, 2006, 2007, 2008, and in press; and Williams and Ferrigno, 2005) (available online at http://www.glaciers.er.usgs.gov).\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/i2600C","collaboration":"Prepared in cooperation with the British Antarctic Survey, the Scott Polar Research Institute, and the Bundesamt fur Kartographie und Geodasie ","usgsCitation":"Ferrigno, J.G., Cook, A.J., Mathie, A., Williams, R., Swithinbank, C., Foley, K.M., Fox, A.J., Thomson, J.W., and Sievers, J., 2009, Coastal-Change and Glaciological Map of the Palmer Land Area, Antarctica: 1947-2009 : U.S. Geological Survey IMAP 2600, pamphlet iv, 28 p. ; map sheet (40.59 inches x 31.77 inches), https://doi.org/10.3133/i2600C.","productDescription":"pamphlet iv, 28 p. ; map sheet (40.59 inches x 31.77 inches)","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1947-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196677,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13489,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/i-2600-c/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Polar Stereographic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80,-74 ], [ -80,-68 ], [ -57,-68 ], [ -57,-74 ], [ -80,-74 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d6bd","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":288603,"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":288604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathie, Amy M.","contributorId":82803,"corporation":false,"usgs":true,"family":"Mathie","given":"Amy M.","affiliations":[],"preferred":false,"id":288606,"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":288607,"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":288601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":288600,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fox, Adrian J.","contributorId":68413,"corporation":false,"usgs":true,"family":"Fox","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomson, Janet W.","contributorId":32212,"corporation":false,"usgs":true,"family":"Thomson","given":"Janet","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":288602,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sievers, Jorn","contributorId":101753,"corporation":false,"usgs":true,"family":"Sievers","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":288608,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}