{"pageNumber":"44","pageRowStart":"1075","pageSize":"25","recordCount":1869,"records":[{"id":70031566,"text":"70031566 - 2007 - Radiometric calibration status of Landsat-7 and Landsat-5","interactions":[],"lastModifiedDate":"2012-03-12T17:21:09","indexId":"70031566","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric calibration status of Landsat-7 and Landsat-5","docAbstract":"Launched in April 1999, Landsat-7 ETM+ continues to acquire data globally. The Scan Line Corrector in failure in 2003 has affected ground coverage and the recent switch to Bumper Mode operations in April 2007 has degraded the internal geometric accuracy of the data, but the radiometry has been unaffected. The best of the three on-board calibrators for the reflective bands, the Full Aperture Solar Calibrator, has indicated slow changes in the ETM+, but this is believed to be due to contamination on the panel rather then instrument degradation. The Internal Calibrator lamp 2, though it has not been used regularly throughout the whole mission, indicates smaller changes than the FASC since 2003. The changes indicated by lamp 2 are only statistically significant in band 1, circa 0.3% per year, and may be lamp as opposed to instrument degradations. Regular observations of desert targets in the Saharan and Arabian deserts indicate the no change in the ETM+ reflective band response, though the uncertainty is larger and does not preclude the small changes indicated by lamp 2. The thermal band continues to be stable and well-calibrated since an offset error was corrected in late-2000. Launched in 1984, Landsat-5 TM also continues to acquire global data; though without the benefit of an on-board recorder, data can only be acquired where a ground station is within range. Historically, the calibration of the TM reflective bands has used an onboard calibration system with multiple lamps. The calibration procedure for the TM reflective bands was updated in 2003 based on the best estimate at the time, using only one of the three lamps and a cross-calibration with Landsat-7 ETM+. Since then, the Saharan desert sites have been used to validate this calibration model. Problems were found with the lamp based model of up to 13% in band 1. Using the Saharan data, a new model was developed and implemented in the US processing system in April 2007. The TM thermal band was found to have a calibration offset error of 0.092 W/m 2 sr ??m (0.68K at 300K) based on vicarious calibration data between 1999 and 2006. The offset error was corrected in the US processing system on April 2007 for all data acquired since April 1999.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Sensors, Systems, and Next-Generation Satellites XI","conferenceDate":"17 September 2007 through 20 September 2007","conferenceLocation":"Florence","language":"English","doi":"10.1117/12.738221","issn":"0277786X","isbn":"9780819469021","usgsCitation":"Barsi, J., Markham, B.L., Helder, D., and Chander, G., 2007, Radiometric calibration status of Landsat-7 and Landsat-5, in Proceedings of SPIE - The International Society for Optical Engineering, v. 6744, Florence, 17 September 2007 through 20 September 2007, https://doi.org/10.1117/12.738221.","costCenters":[],"links":[{"id":212629,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.738221"},{"id":240144,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6744","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a940fe4b0c8380cd8119c","contributors":{"authors":[{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":432149,"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":432152,"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":432151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":432150,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034543,"text":"70034543 - 2007 - Improved outgassing models for the Landsat-5 thematic mapper","interactions":[],"lastModifiedDate":"2022-05-18T15:07:28.918166","indexId":"70034543","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improved outgassing models for the Landsat-5 thematic mapper","docAbstract":"

The Landsat-5 (L5) Thematic Mapper (TM) detectors of the short wave infrared (SWIR) bands 5 and 7 are maintained on cryogenic temperatures to minimize thermal noise and allow adequate detection of scene energy. Over the instrument's lifetime, gain oscillations are observed in these bands that are caused by an ice-like contaminant that gradually builds up on the window of a dewar that houses these bands' detectors. This process of icing, an effect of material outgassing in space, is detected and characterized through observations of Internal Calibrator (IC) data. Analyses of IC data indicated three to five percent uncertainty in absolute gain estimates due to this icing phenomenon. The thin-film interference lifetime models implemented in the image product generation systems at the U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS) successfully remove up to 80 percent of the icing effects for the image acquisition period from the satellite's launch in 1984 until 2001; however, their correction ability was found to be much lower for the time thereafter. This study concentrates on improving the estimates of the contaminant film growth rate and the associated change in the period of gain oscillations. The goal is to provide model parameters with the potential to correct 70 to 80 percent of gain uncertainties caused by outgassing effects in L5 TM bands 5 and 7 over the instrument's entire lifetime.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007","conferenceDate":"June 23-28, 2007","conferenceLocation":"Barcelona, Spain","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2007.4423440","usgsCitation":"Micijevic, E., Chander, G., and Hayes, R.W., 2007, Improved outgassing models for the Landsat-5 thematic mapper, in International Geoscience and Remote Sensing Symposium (IGARSS), Barcelona, Spain, June 23-28, 2007, p. 2860-2863, https://doi.org/10.1109/IGARSS.2007.4423440.","productDescription":"4 p.","startPage":"2860","endPage":"2863","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243598,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3961e4b0c8380cd618d7","contributors":{"authors":[{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":446312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":446311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, R. W.","contributorId":105493,"corporation":false,"usgs":true,"family":"Hayes","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":446313,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":76183,"text":"ofr20051122 - 2007 - Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ofr20051122","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1122","title":"Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan","docAbstract":"By selecting one of the four series options shown below, namely, -A, -B, -C, and -D for the geologic, topographic, Landsat natural-color, and Landsat false-color maps, respectively, the user will be taken to that map.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051122","collaboration":"Prepared in cooperation with the Afghan Geological Survey and the Afghanistan Geodesy and Cartography Head Office under the auspices of the U.S. Agency for International Development and the U.S. Trade and Development Agency","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan: U.S. Geological Survey Open-File Report 2005-1122, 4 Maps: Varied Sizes, https://doi.org/10.3133/ofr20051122.","productDescription":"4 Maps: Varied Sizes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1122/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 62,29.25 ], [ 62,31 ], [ 64,31 ], [ 64,29.25 ], [ 62,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc2db","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":76193,"text":"ofr20051121 - 2007 - Maps of Quadrangles 3060 and 2960, Qala-I-Fath (608), Malek-Sayh-Koh (613), and Gozar-E-Sah (614) Quadrangles, Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ofr20051121","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1121","title":"Maps of Quadrangles 3060 and 2960, Qala-I-Fath (608), Malek-Sayh-Koh (613), and Gozar-E-Sah (614) Quadrangles, Afghanistan","docAbstract":"By selecting one of the four series options shown below, namely, -A, -B, -C, and -D for the geologic, topographic, Landsat natural-color, and Landsat false-color maps, respectively, the user will be taken to that map.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051121","collaboration":"Prepared in cooperation with the Afghan Geological Survey and the Afghanistan Geodesy and Cartography Head Office under the auspices of the U.S. Agency for International Development and the U.S. Trade and Development Agency","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Maps of Quadrangles 3060 and 2960, Qala-I-Fath (608), Malek-Sayh-Koh (613), and Gozar-E-Sah (614) Quadrangles, Afghanistan: U.S. Geological Survey Open-File Report 2005-1121, 4 Maps: Varied Sizes, https://doi.org/10.3133/ofr20051121.","productDescription":"4 Maps: Varied Sizes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10413,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1121/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.5,29.5 ], [ 60.5,31 ], [ 62,31 ], [ 62,29.5 ], [ 60.5,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc256","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534776,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273212,"text":"70273212 - 2006 - Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico","interactions":[],"lastModifiedDate":"2025-12-19T15:49:36.177108","indexId":"70273212","displayToPublicDate":"2025-09-19T09:32:51","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico","title":"Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico","docAbstract":"

Bufflelgrass (Pennisetum ciliare syn. Cenchrus ciliaris) is an African grass that has been widely introduced in subtropical arid regions of the world to improve rangelands for cattle production. However, it can have a negative effect on the diversity of native plant communities. Buffelgrass was introduced to Sonora, Mexico in the 1970s as a means to bolster the cattle industry. “Desmonte,” the process by which native desert vegetation is removed in preparation for buffelgrass seeding, alters the land surface such that buffelgrass plots are easily detectable from aerial and Landsat satellite images. We estimated the extent of conversion to buffelgrass in a 1,850,000 ha area centered on Hermosillo, from MSS and TM images from 1973, 1983, 1990 and 2000. We then compared the relative above-ground productivity of buffelgrass to native vegetation using Normalized Difference Vegetation Index values (NDVI) from Landsat and Moderate Resolution Imaging Spectrometer (MODIS) satellite sensor systems. Buffelgrass pastures have increased from just 7700 ha in 1973 to over 140,000 ha in 2000. Buffelgrass pastures now cover 8% of the land surface in the study area. Buffelgrass pastures have lower net primary productivity, estimated by MODIS NDVI values, than unconverted desert land. The desmonte process removes trees and shrubs, while the buffelgrass plantings are often sparse, leading to an apparent net loss in net primary production from land conversion. We recommend that the desmonte process be discontinued until its efficacy and safety for native ecosystems can be established, and that a comprehensive plan for preserving biodiversity while accomodating economic development be established for this region of the Sonoran Desert in Mexico.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2005.07.018","usgsCitation":"Franklin, K.A., Lyons, K., Nagler, P.L., Lampkin, D., Glenn, E.P., Molina-Freaner, F., Markow, T., and Huete, A.R., 2006, Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico: Biological Conservation, v. 127, no. 1, p. 62-71, https://doi.org/10.1016/j.biocon.2005.07.018.","productDescription":"10 p.","startPage":"62","endPage":"71","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Sonora","otherGeospatial":"Plains of Sonora","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.34259567104225,\n 30.555012631219427\n ],\n [\n -112.81806608880689,\n 29.880271513235172\n ],\n [\n -110.41803141575451,\n 27.204194529819702\n ],\n [\n -109.20603785830497,\n 28.13332597337235\n ],\n [\n -111.34259567104225,\n 30.555012631219427\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2005-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Franklin, Kim A.","contributorId":279983,"corporation":false,"usgs":false,"family":"Franklin","given":"Kim","email":"","middleInitial":"A.","affiliations":[{"id":57402,"text":"Arizona-Sonora Desert Museum","active":true,"usgs":false}],"preferred":false,"id":952716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, Kelly","contributorId":364475,"corporation":false,"usgs":false,"family":"Lyons","given":"Kelly","affiliations":[],"preferred":false,"id":952717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampkin, Derrick","contributorId":364476,"corporation":false,"usgs":false,"family":"Lampkin","given":"Derrick","affiliations":[],"preferred":false,"id":952719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":952720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Molina-Freaner, Francisco","contributorId":364477,"corporation":false,"usgs":false,"family":"Molina-Freaner","given":"Francisco","affiliations":[],"preferred":false,"id":952721,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markow, Therese","contributorId":364478,"corporation":false,"usgs":false,"family":"Markow","given":"Therese","affiliations":[],"preferred":false,"id":952722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huete, Alfredo R","contributorId":243589,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","middleInitial":"R","affiliations":[{"id":48742,"text":"School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia","active":true,"usgs":false}],"preferred":false,"id":952723,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":80127,"text":"fs20063020 - 2006 - Land Cover Trends Project","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"fs20063020","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-3020","title":"Land Cover Trends Project","docAbstract":"The Land Cover Trends Project is designed to document the types, rates, causes, and consequences of land cover change from 1973 to 2000 within each of the 84 U.S. Environmental Protection Agency (EPA) Level III ecoregions that span the conterminous United States. The project's objectives are to:\r\n* Develop a comprehensive methodology using probability sampling and change analysis techniques and Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper (ETM) data for estimating regional land cover change.\r\n* Characterize the spatial and temporal characteristics of conterminous U.S. land cover change for five periods from 1973 to 2000 (nominally 1973, 1980, 1986, 1992, and 2000).\r\n* Document the regional driving forces and consequences of change.\r\n* Prepare a national synthesis of land cover change.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063020","usgsCitation":"Acevedo, W., 2006, Land Cover Trends Project: U.S. Geological Survey Fact Sheet 2006-3020, 1 p., https://doi.org/10.3133/fs20063020.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3020/report-thumb.jpg"},{"id":91228,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3020/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aec07","contributors":{"authors":[{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":291789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":79476,"text":"ds221 - 2006 - Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001","interactions":[],"lastModifiedDate":"2012-02-02T00:14:09","indexId":"ds221","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"221","title":"Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001","docAbstract":"This report describes the processing and results of land-cover and impervious surface derivation for parts of three metropolitan areas being studied as part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment (NAWQA) Program Effects of Urbanization on Stream Ecosystems (EUSE). The data were derived primarily from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery from the period 1999-2002, and are provided as 30-meter resolution raster datasets. Data were produced to a standard consistent with data being produced as part of the USGS National Land Cover Database 2001 (NLCD01) Program, and were derived in cooperation with, and assistance from, NLCD01 personnel. The data were intended as surrogates for NLCD01 data because of the EUSE Program's time-critical need for updated land-cover for parts of the United States that would not be available in time from the NLCD01 Program. Six datasets are described in this report: separate land-cover (15-class categorical data) and imperviousness (0-100 percent continuous data) raster datasets for parts of the general Denver, Colorado area (South Platte River Basin), Dallas-Fort Worth, Texas area (Trinity River Basin), and Milwaukee-Green Bay, Wisconsin area (Western Lake Michigan Drainages).","language":"ENGLISH","doi":"10.3133/ds221","usgsCitation":"Falcone, J.A., and Pearson, D., 2006, Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001: U.S. Geological Survey Data Series 221, vi, 17 p.; data files, https://doi.org/10.3133/ds221.","productDescription":"vi, 17 p.; data files","numberOfPages":"23","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":192510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9020,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/221/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf44","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":290005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Daniel K. dpearson@usgs.gov","contributorId":1525,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","email":"dpearson@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":290006,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79427,"text":"ofr20061345 - 2006 - Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20061345","displayToPublicDate":"2006-12-03T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1345","title":"Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan","docAbstract":"In 2005, the U.S. Agency for International Development and the U.S. Trade and Development Agency contracted with the U.S. Geological Survey to perform assessments of the natural resources within Afghanistan. The assessments concentrate on the resources that are related to the economic development of that country. Therefore, assessments were initiated in oil and gas, coal, mineral resources, water resources, and earthquake hazards. All of these assessments require geologic, structural, and topographic information throughout the country at a finer scale and better accuracy than that provided by the existing maps, which were published in the 1970s by the Russians and Germans. The very rugged terrain in Afghanistan, the large scale of these assessments, and the terrorist threat in Afghanistan indicated that the best approach to provide the preliminary assessments was to use remotely sensed, satellite image data, although this may also apply to subsequent phases of the assessments. Therefore, the first step in the assessment process was to produce satellite image mosaics of Afghanistan that would be useful for these assessments. This report discusses the production and characteristics of the fundamental satellite image databases produced for these assessments, which are calibrated image mosaics of all six Landsat nonthermal (reflected) bands. ","language":"ENGLISH","doi":"10.3133/ofr20061345","usgsCitation":"Davis, P.A., 2006, Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan (Version 1.0): U.S. Geological Survey Open-File Report 2006-1345, 18 p., https://doi.org/10.3133/ofr20061345.","productDescription":"18 p.","numberOfPages":"18","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":192385,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8933,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1345/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29 ], [ 60,39 ], [ 75,39 ], [ 75,29 ], [ 60,29 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e712a","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289876,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259124,"text":"70259124 - 2006 - Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery","interactions":[],"lastModifiedDate":"2024-09-27T15:36:41.530807","indexId":"70259124","displayToPublicDate":"2006-12-01T10:25:15","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery","docAbstract":"

Urban development has expanded rapidly in Las Vegas, Nevada, over the last fifty years. To assess urban land use change in the area, a sub-pixel change detection approach has been used to map urban extent and its temporal changes by determining sub-pixel level impervious surface areas from Landsat satellite remote sensing data in conjunction with digital orthophotography. Sub-pixel percentages of imperviousness are mapped from the 1980s to the 2000s for the Las Vegas metropolitan area using a regression tree model. The spatial-temporal distribution of vegetation in the urban area has also been quantified using the same approach. Analysis suggests that spatial and temporal changes in impervious surface are useful indicators of spatial extent, intensity, and potentially, the types of urban land cover and land use change. Results indicate that areas of 40–60% imperviousness have experienced the largest increase in Las Vegas, suggesting that areas of medium to high development density areas represent the major urban land uses in the region. Urban area fractional vegetation cover has the highest coverage in medium-density urban areas of Las Vegas.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Prospecting for geospatial information integration","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ASPRS 2006 Annual Conference","conferenceDate":"May 1-5, 2006","conferenceLocation":"Reno, NV","language":"English","publisher":"ASPRS","usgsCitation":"Xian, G.Z., Crane, M., and McMahon, C., 2006, Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery, in Prospecting for geospatial information integration, Reno, NV, May 1-5, 2006, 10 p.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462340,"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 \"coordinates\": [\n [\n [\n -115.54626991302445,\n 36.44889040820341\n ],\n [\n -115.54626991302445,\n 35.8352044368426\n ],\n [\n -114.75273105660025,\n 35.8352044368426\n ],\n [\n -114.75273105660025,\n 36.44889040820341\n ],\n [\n -115.54626991302445,\n 36.44889040820341\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","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":914253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crane, Mike","contributorId":99824,"corporation":false,"usgs":true,"family":"Crane","given":"Mike","email":"","affiliations":[],"preferred":false,"id":914254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, C.","contributorId":59308,"corporation":false,"usgs":true,"family":"McMahon","given":"C.","email":"","affiliations":[],"preferred":false,"id":914255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":79411,"text":"sir20065288 - 2006 - Land-Cover Trends of the Central Basin and Range Ecoregion","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"sir20065288","displayToPublicDate":"2006-11-21T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5288","title":"Land-Cover Trends of the Central Basin and Range Ecoregion","docAbstract":"The U.S. Geological Survey (USGS) Land Cover Trends research project is focused on understanding the amounts, rates, trends, causes, and implications of contemporary land-use and land-cover (LU/LC) change in the United States. This project is supported by the USGS Geographic Analysis and Monitoring Program in collaboration with the U.S. Environmental Protection Agency (EPA) and the National Aeronautics and Space Administration (NASA). \r\n\r\nLU/LC change is a pervasive process that modifies landscape characteristics and affects a broad range of socioeconomic, biologic, and hydrologic systems. Understanding the impacts and feedbacks of LU/LC change on environmental systems requires an understanding of the rates, patterns, and driving forces of past, present, and future LU/LC change. The objectives of the Land Cover Trends project are to (1) determine and describe the amount, rates, and trends of contemporary LU/LC change by ecoregion for the period 1973-2000 for the conterminous United States, (2) document the causes, driving forces, and implications of change, and (3) synthesize individual ecoregion results into a national assessment of LU/LC change. \r\n\r\nThe Land Cover Trends research team includes staff from the USGS National Center for Earth Resources Observation and Science (EROS), Rocky Mountain Geographic Science Center, Eastern Geographic Science Center, Mid-Continent Geographic Science Center, and the Western Geographic Science Center. Other partners include researchers at South Dakota State University, University of Southern Mississippi, and State University of New York College of Environmental Science and Forestry. \r\n\r\nThis report presents an assessment of LU/LC change in the Central Basin and Range ecoregion for the period 1973-2000. The Central Basin and Range ecoregion is one of 84 Level-III ecoregions as defined by the Environmental Protection Agency. Ecoregions have served as a spatial framework for environmental resource management and to denote areas that contain a geographically distinct assemblage of biotic and abiotic phenomena including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The established Land Cover Trends methodology generates estimates of LU/LC change using a probability sampling approach and change-detection analysis of thematic land-cover images derived from Landsat satellite imagery.\r\n","language":"ENGLISH","doi":"10.3133/sir20065288","usgsCitation":"Soulard, C.E., 2006, Land-Cover Trends of the Central Basin and Range Ecoregion: U.S. Geological Survey Scientific Investigations Report 2006-5288, iii, 20 p.; 10 figs.; 4 tables, https://doi.org/10.3133/sir20065288.","productDescription":"iii, 20 p.; 10 figs.; 4 tables","numberOfPages":"23","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":194758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8922,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5288/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,35 ], [ -121,45 ], [ -112,45 ], [ -112,35 ], [ -121,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf4b","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":289834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":79212,"text":"sir20065218 - 2006 - Interferograms showing land subsidence and uplift in Las Vegas Valley, Nevada, 1992-99","interactions":[],"lastModifiedDate":"2012-02-02T00:13:55","indexId":"sir20065218","displayToPublicDate":"2006-10-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5218","title":"Interferograms showing land subsidence and uplift in Las Vegas Valley, Nevada, 1992-99","docAbstract":"The U.S. Geological Survey, in cooperation with the Nevada Department of Conservation and Natural Resources-Division of Water Resources and the Las Vegas Valley Water District, compiled 44 individual interferograms and 1 stacked interferogram comprising 29 satellite synthetic aperture radar acquisitions of Las Vegas Valley, Nevada, from 1992 to 1999. The interferograms, which depict short-term, seasonal, and long-term trends in land subsidence and uplift, are viewable with an interactive map. The interferograms show that land subsidence and uplift generally occur in localized areas, are responsive to ground-water pumpage and artificial recharge, and, in part, are fault controlled. Information from these interferograms can be used by water and land managers to mitigate land subsidence and associated damage.\r\n\r\nLand subsidence attributed to ground-water pumpage has been documented in Las Vegas Valley since the 1940s. Damage to roads, buildings, and other engineered structures has been associated with this land subsidence. Land uplift attributed to artificial recharge and reduced pumping has been documented since the 1990s. Measuring these land-surface changes with traditional benchmark and Global Positioning System surveys can be costly and time consuming, and results typically are spatially and temporally sparse. Interferograms are relatively inexpensive and provide temporal and spatial resolutions previously not achievable.\r\n\r\nThe interferograms are viewable with an interactive map. Landsat images from 1993 and 2000 are viewable for frames of reference to locate areas of interest and help determine land use. A stacked interferogram for 1992-99 is viewable to visualize the cumulative vertical displacement for the period represented by the individual interferograms. The interactive map enables users to identify and estimate the magnitude of vertical displacement, visually analyze deformation trends, and view interferograms and Landsat images side by side. The interferograms and Landsat images are available for download, in formats for use with Geographic Information System software.","language":"ENGLISH","doi":"10.3133/sir20065218","usgsCitation":"Pavelko, M.T., Hoffmann, J., and Damar, N.A., 2006, Interferograms showing land subsidence and uplift in Las Vegas Valley, Nevada, 1992-99: U.S. Geological Survey Scientific Investigations Report 2006-5218, 25 p., https://doi.org/10.3133/sir20065218.","productDescription":"25 p.","numberOfPages":"25","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"1999-12-31","costCenters":[],"links":[{"id":191377,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8665,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5218/","linkFileType":{"id":5,"text":"html"}},{"id":8666,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2006/5218/Data/insar_metadata.xml"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d4a9","contributors":{"authors":[{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffmann, Jorn","contributorId":15693,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":289376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046981,"text":"70046981 - 2006 - Historical record of Landsat global coverage","interactions":[],"lastModifiedDate":"2017-04-11T15:49:02","indexId":"70046981","displayToPublicDate":"2006-10-01T13:43:00","publicationYear":"2006","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":"Historical record of Landsat global coverage","docAbstract":"

The long-term, 34+ year record of global Landsat remote sensing data is a critical resource to study the Earth system and human impacts on this system. The National Satellite Land Remote Sensing Data Archive (NSLRSDA) is charged by public law to: “maintain a permanent, comprehensive Government archive of global Landsat and other land remote sensing data for long-term monitoring and study of the changing global environment” (U.S. Congress, 1992). The advisory committee for NSLRSDA requested a detailed analysis of observation coverage within the U.S. Landsat holdings, as well as that acquired and held by International Cooperator (IC) stations. Our analyses, to date, have found gaps of varying magnitude in U.S. holdings of Landsat global coverage data, which appear to reflect technical or administrative variations in mission operations. In many cases it may be possible to partially fill these gaps in U.S. holdings through observations that were acquired and are now being held at International Cooperator stations.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.72.10.1155","usgsCitation":"Goward, S., Arvidson, T., Williams, D., Faundeen, J., Irons, J., and Franks, S., 2006, Historical record of Landsat global coverage: Photogrammetric Engineering and Remote Sensing, v. 72, no. 10, p. 1155-1169, https://doi.org/10.14358/PERS.72.10.1155.","productDescription":"15 p.","startPage":"1155","endPage":"1169","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":477311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.72.10.1155","text":"Publisher Index Page"},{"id":274882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfd3e4e4b0d332bf22f398","contributors":{"authors":[{"text":"Goward, Samuel","contributorId":97404,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","affiliations":[],"preferred":false,"id":480795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, Terry","contributorId":97801,"corporation":false,"usgs":true,"family":"Arvidson","given":"Terry","email":"","affiliations":[],"preferred":false,"id":480796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Darrel","contributorId":74655,"corporation":false,"usgs":true,"family":"Williams","given":"Darrel","affiliations":[],"preferred":false,"id":480793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faundeen, John 0000-0003-0287-2921","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":33605,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","affiliations":[],"preferred":false,"id":480791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irons, James","contributorId":52066,"corporation":false,"usgs":true,"family":"Irons","given":"James","affiliations":[],"preferred":false,"id":480792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Franks, Shannon 0000-0003-1335-5401","orcid":"https://orcid.org/0000-0003-1335-5401","contributorId":93362,"corporation":false,"usgs":true,"family":"Franks","given":"Shannon","affiliations":[],"preferred":false,"id":480794,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70157059,"text":"70157059 - 2006 - Landsat-7 long-term acquisition plan radiometry - evolution over time","interactions":[],"lastModifiedDate":"2015-09-03T12:11:01","indexId":"70157059","displayToPublicDate":"2006-10-01T00:00:00","publicationYear":"2006","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":"Landsat-7 long-term acquisition plan radiometry - evolution over time","docAbstract":"

The Landsat-7 Enhanced Thematic Mapper Plus instrument has two selectable gains for each spectral band. In the acquisition plan, the gains were initially set to maximize the entropy in each scene. One unintended consequence of this strategy was that, at times, dense vegetation saturated band 4 and deserts saturated all bands. A revised strategy, based on a land-cover classification and sun angle thresholds, reduced saturation, but resulted in gain changes occurring within the same scene on multiple overpasses. As the gain changes cause some loss of data and difficulties for some ground processing systems, a procedure was devised to shift the gain changes to the nearest predicted cloudy scenes. The results are still not totally satisfactory as gain changes still impact some scenes and saturation still occurs, particularly in ephemerally snow-covered regions. A primary conclusion of our experience with variable gain on Landsat-7 is that such an approach should not be employed on future global monitoring missions.

","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.72.10.1129","usgsCitation":"Markham, B.L., Goward, S., Arvidson, T., Barsi, J.A., and Scaramuzza, P., 2006, Landsat-7 long-term acquisition plan radiometry - evolution over time: Photogrammetric Engineering and Remote Sensing, v. 72, no. 10, p. 1129-1135, https://doi.org/10.14358/PERS.72.10.1129.","productDescription":"7 p.","startPage":"1129","endPage":"1135","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":477312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.72.10.1129","text":"Publisher Index Page"},{"id":307916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e96f3ce4b0dacf699e788a","contributors":{"authors":[{"text":"Markham, Brian L. 0000-0002-9612-8169","orcid":"https://orcid.org/0000-0002-9612-8169","contributorId":121488,"corporation":false,"usgs":true,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":571381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goward, Samuel","contributorId":97404,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","affiliations":[],"preferred":false,"id":571382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Terry","contributorId":97801,"corporation":false,"usgs":true,"family":"Arvidson","given":"Terry","email":"","affiliations":[],"preferred":false,"id":571383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":571384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":571385,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258652,"text":"70258652 - 2006 - Stability of Landsat-4 thematic mapper outgassing models","interactions":[],"lastModifiedDate":"2024-09-19T16:45:13.759759","indexId":"70258652","displayToPublicDate":"2006-09-08T11:41:12","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stability of Landsat-4 thematic mapper outgassing models","docAbstract":"

Oscillations in radiometric gains of the short wave infrared (SWIR) bands in Landsat-4 (L4) and Landsat-5 (L5) Thematic Mappers (TMs) are observed through an analysis of detector responses to the Internal Calibrator (IC) pulses. The oscillations are believed to be caused by an interference effect due to a contaminant film buildup on the window of the cryogenically cooled dewar that houses these detectors. This process of contamination, referred to as outgassing effects, has been well characterized using an optical thin-film model that relates detector responses to the accumulated film thickness and its growth rate. The current models for L4 TM are based on average detector responses to the second brightest IC lamp and have been derived from three data sets acquired during different times throughout the instrument's lifetime. Unlike in L5 TM outgassing characterization, it was found that the L4 TM responses to all three IC lamps can be used to provide accurate characterization and correction for outgassing effects. The analysis of single detector responses revealed an up to five percent difference in the estimated oscillating periods and also indicated a gradual variation of contaminant growth rate over the focal plane.

","conferenceTitle":"SPIE Optics + Photonics, 2006: Earth Observing Systems XI","conferenceDate":"August 13-17, 2006","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.683264","usgsCitation":"Micijevic, E., and Chander, G., 2006, Stability of Landsat-4 thematic mapper outgassing models, SPIE Optics + Photonics, 2006: Earth Observing Systems XI, v. 6296, San Diego, CA, August 13-17, 2006, 62960E, 11 p., https://doi.org/10.1117/12.683264.","productDescription":"62960E, 11 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":439158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6296","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":913559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":913560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":77012,"text":"sir20065098 - 2006 - Land-cover trends in the Mojave basin and range ecoregion","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"sir20065098","displayToPublicDate":"2006-07-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5098","title":"Land-cover trends in the Mojave basin and range ecoregion","docAbstract":"The U.S. Geological Survey's Land-Cover Trends Project aims to estimate the rates of contemporary land-cover change within the conterminous United States between 1972 and 2000. A random sampling approach was used to select a representative sample of 10-km by 10-km sample blocks and to estimate change within +/- 1 percent at an 85-percent confidence interval. Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper Plus data were used, and each 60-m pixel was assigned to one of 11 distinct land-cover classes based upon a modified Anderson classification system. Upon completion of land-cover change mapping for five dates, land-cover change statistics were generated and analyzed. This paper presents estimates for the Mojave Basin and Range ecoregion located in the southwestern United States. Our research suggests land-cover change within the Mojave to be relatively rare and highly localized. The primary shift in land cover is unidirectional, with natural desert grass/shrubland being converted to development. We estimate that more than 1,300 km2 have been converted since 1973 and that the conversion is being largely driven by economic and recreational opportunities provided by the Mojave ecoregion. The time interval with the highest rate of change was 1986 to 1992, in which the rate was 0.21 percent (321.9 km2) per year total change.","language":"ENGLISH","doi":"10.3133/sir20065098","usgsCitation":"Sleeter, B.M., and Raumann, C.G., 2006, Land-cover trends in the Mojave basin and range ecoregion: U.S. Geological Survey Scientific Investigations Report 2006-5098, iii, 15 p., https://doi.org/10.3133/sir20065098.","productDescription":"iii, 15 p.","numberOfPages":"18","onlineOnly":"Y","costCenters":[{"id":295,"text":"Geography National Land-cover Trends Project","active":false,"usgs":true}],"links":[{"id":194727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8151,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5098/","linkFileType":{"id":5,"text":"html"}}],"scale":"0","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.75 ], [ -118.5,38 ], [ -113,38 ], [ -113,33.75 ], [ -118.5,33.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adee8","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":288292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raumann, Christian G.","contributorId":65893,"corporation":false,"usgs":true,"family":"Raumann","given":"Christian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":288293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178398,"text":"70178398 - 2006 - Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala","interactions":[],"lastModifiedDate":"2016-11-16T13:12:58","indexId":"70178398","displayToPublicDate":"2006-05-26T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala","docAbstract":"

Persistent lava extrusion at the Santiaguito dome complex (Guatemala) results in continuous lahar activity and river bed aggradation downstream of the volcano. We present a simple method that uses vegetation indices extracted from Landsat Thematic Mapper (TM) data to map impacted zones. Application of this technique to a time series of 21 TM images acquired between 1987 and 2000 allow us to map, measure, and track temporal and spatial variations in the area of lahar impact and river aggradation.

In the proximal zone of the fluvial system, these data show a positive correlation between extrusion rate at Santiaguito (E), aggradation area 12 months later (Aprox), and rainfall during the intervening 12 months (Rain12): Aprox=3.92+0.50 E+0.31 ln(Rain12) (r2=0.79). This describes a situation in which an increase in sediment supply (extrusion rate) and/or a means to mobilize this sediment (rainfall) results in an increase in lahar activity (aggraded area). Across the medial zone, we find a positive correlation between extrusion rate and/or area of proximal aggradation and medial aggradation area (Amed): Amed=18.84-0.05 Aprox - 6.15 Rain12 (r2=0.85). Here the correlation between rainfall and aggradation area is negative. This describes a situation in which increased sediment supply results in an increase in lahar activity but, because it is the zone of transport, an increase in rainfall serves to increase the transport efficiency of rivers flowing through this zone. Thus, increased rainfall flushes the medial zone of sediment.

These quantitative data allow us to empirically define the links between sediment supply and mobilization in this fluvial system and to derive predictive relationships that use rainfall and extrusion rates to estimate aggradation area 12 months hence.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2006.2412(05)","usgsCitation":"Harris, A.J., Vallance, J.W., Kimberly, P., Rose, W., Matias, O., Bunzendahl, E., Flynn, L.P., and Garbeil, H., 2006, Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala: GSA Special Papers, v. 412, p. 85-104, https://doi.org/10.1130/2006.2412(05).","productDescription":"20 p.","startPage":"85","endPage":"104","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":331078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","otherGeospatial":"Volcán Santiaguito","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.77978515625,\n 15.998295390404955\n ],\n [\n -90.3131103515625,\n 15.464269084198357\n ],\n [\n -90.75256347656249,\n 13.923403897723347\n ],\n [\n -91.1920166015625,\n 13.902075852500483\n ],\n [\n -91.58752441406249,\n 13.98204586611312\n ],\n [\n -91.812744140625,\n 14.120594658156678\n ],\n [\n -92.0489501953125,\n 14.306969497825788\n ],\n [\n -92.2137451171875,\n 14.471915406528263\n ],\n [\n -92.186279296875,\n 14.578267209240462\n ],\n [\n -92.1368408203125,\n 14.626108798876839\n ],\n [\n -92.142333984375,\n 14.764259178591587\n ],\n [\n -92.17529296875,\n 14.854540884509145\n ],\n [\n -92.10937499999999,\n 14.891704754215477\n ],\n [\n -92.13134765625,\n 14.971320017312587\n ],\n [\n -92.0819091796875,\n 15.019074989409148\n ],\n [\n -92.0489501953125,\n 15.10394633500913\n ],\n [\n -92.197265625,\n 15.262988555023204\n ],\n [\n -91.77978515625,\n 15.998295390404955\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582dd8eae4b04d580bd3fa9b","contributors":{"authors":[{"text":"Harris, Andrew J. L.","contributorId":169434,"corporation":false,"usgs":false,"family":"Harris","given":"Andrew","email":"","middleInitial":"J. 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From the Landsat program's inception in 1972 to the present, the Earth science user community has benefited from a historical record of remotely sensed data. However, little attention has been paid to ensuring that the data are calibrated and comparable from mission to mission, Launched in 1982 and 1984 respectively, the Landsat 4 (L4) and Landsat 5 (L5) Thematic Mappers (TM) are the backbone of an extensive archive of moderate resolution Earth imagery. To evaluate the \"current\" absolute accuracy of these two sensors, image pairs from the L5 TM and L4 TM sensors were compared. The approach involves comparing image statistics derived from large common areas observed eight days apart by the two sensors. The average percent differences in reflectance estimates obtained from the L4 TM agree with those from the L5 TM to within 15 percent. Additional work to characterize the absolute differences between the two sensors over the entire mission is in progress.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Earth Observing Systems XI","conferenceDate":"Aug 14-16, 2006","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.683240","usgsCitation":"Chander, G., and Micijevic, E., 2006, Absolute calibration accuracy of L4 TM and L5 TM sensor image pairs, in Proceedings of SPIE - The International Society for Optical Engineering, v. 6296, San Diego, CA, Aug 14-16, 2006, 62960D, https://doi.org/10.1117/12.683240.","productDescription":"62960D","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":236651,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6296","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e64ae4b0c8380cd47305","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":419915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":419916,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70028838,"text":"70028838 - 2006 - Cross-calibration of MODIS with ETM+ and ALI sensors for long-term monitoring of land surface processes","interactions":[],"lastModifiedDate":"2022-05-17T15:53:59.766539","indexId":"70028838","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cross-calibration of MODIS with ETM+ and ALI sensors for long-term monitoring of land surface processes","docAbstract":"Increasingly, data from multiple sensors are used to gain a more complete understanding of land surface processes at a variety of scales. Although higher-level products (e.g., vegetation cover, albedo, surface temperature) derived from different sensors can be validated independently, the degree to which these sensors and their products can be compared to one another is vastly improved if their relative spectroradiometric responses are known. Most often, sensors are directly calibrated to diffuse solar irradiation or vicariously to ground targets. However, space-based targets are not traceable to metrological standards, and vicarious calibrations are expensive and provide a poor sampling of a sensor's full dynamic range. Crosscalibration of two sensors can augment these methods if certain conditions can be met: (1) the spectral responses are similar, (2) the observations are reasonably concurrent (similar atmospheric & solar illumination conditions), (3) errors due to misregistrations of inhomogeneous surfaces can be minimized (including scale differences), and (4) the viewing geometry is similar (or, some reasonable knowledge of surface bi-directional reflectance distribution functions is available). This study explores the impacts of cross-calibrating sensors when such conditions are met to some degree but not perfectly. In order to constrain the range of conditions at some level, the analysis is limited to sensors where cross-calibration studies have been conducted (Enhanced Thematic Mapper Plus (ETM+) on Landsat-7 (L7), Advance Land Imager (ALI) and Hyperion on Earth Observer-1 (EO-1)) and including systems having somewhat dissimilar geometry, spatial resolution & spectral response characteristics but are still part of the so-called \"A.M. constellation\" (Moderate Resolution Imaging Spectrometer (MODIS) aboard the Terra platform). Measures for spectral response differences and methods for cross calibrating such sensors are provided in this study. These instruments are cross calibrated using the Railroad Valley playa in Nevada. Best fit linear coefficients (slope and offset) are provided for ALI-to-MODIS and ETM+-to-MODIS cross calibrations, and root-mean-squared errors (RMSEs) and correlation coefficients are provided to quantify the uncertainty in these relationships. In theory, the linear fits and uncertainties can be used to compare radiance and reflectance products derived from each instrument.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Earth Observing Systems XI","conferenceDate":"Aug 14-16, 2006","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.683567","usgsCitation":"Meyer, D., and Chander, G., 2006, Cross-calibration of MODIS with ETM+ and ALI sensors for long-term monitoring of land surface processes, in Proceedings of SPIE - The International Society for Optical Engineering, v. 6296, San Diego, CA, Aug 14-16, 2006, 62960H, https://doi.org/10.1117/12.683567.","productDescription":"62960H","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":236759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6296","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcc1e4b0c8380cd4e3fa","contributors":{"authors":[{"text":"Meyer, D.","contributorId":31131,"corporation":false,"usgs":true,"family":"Meyer","given":"D.","affiliations":[],"preferred":false,"id":419938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":419939,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70028974,"text":"70028974 - 2006 - Stability of landsat-4 thematic mapper outgassing models","interactions":[],"lastModifiedDate":"2012-03-12T17:20:57","indexId":"70028974","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stability of landsat-4 thematic mapper outgassing models","docAbstract":"Oscillations in radiometric gains of the short wave infrared (SWIR) bands in Landsat-4 (L4) and Landsat-5 (L5) Thematic Mappers (TMs) are observed through an analysis of detector responses to the Internal Calibrator (IC) pulses. The oscillations are believed to be caused by an interference effect due to a contaminant film buildup on the window of the cryogenically cooled dewar that houses these detectors. This process of contamination, referred to as outgassing effects, has been well characterized using an optical thin-film model that relates detector responses to the accumulated film thickness and its growth rate. The current models for L4 TM are based on average detector responses to the second brightest IC lamp and have been derived from three data sets acquired during different times throughout the instrument's lifetime. Unlike in L5 TM outgassing characterization, it was found that the L4 TM responses to all three IC lamps can be used to provide accurate characterization and correction for outgassing effects. The analysis of single detector responses revealed an up to five percent difference in the estimated oscillating periods and also indicated a gradual variation of contaminant growth rate over the focal plane.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Earth Observing Systems XI","conferenceDate":"14 August 2006 through 16 August 2006","conferenceLocation":"San Diego, CA","language":"English","doi":"10.1117/12.683264","issn":"0277786X","isbn":"0819463752; 9780819463753","usgsCitation":"Micijevic, E., and Chander, G., 2006, Stability of landsat-4 thematic mapper outgassing models, in Proceedings of SPIE - The International Society for Optical Engineering, v. 6296, San Diego, CA, 14 August 2006 through 16 August 2006, https://doi.org/10.1117/12.683264.","costCenters":[],"links":[{"id":209833,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.683264"},{"id":236562,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6296","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9655e4b08c986b31b445","contributors":{"authors":[{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":420801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":420800,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70028132,"text":"70028132 - 2006 - Remote sensing for grassland management in the arid Southwest","interactions":[],"lastModifiedDate":"2012-03-12T17:20:51","indexId":"70028132","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing for grassland management in the arid Southwest","docAbstract":"We surveyed a group of rangeland managers in the Southwest about vegetation monitoring needs on grassland. Based on their responses, the objective of the RANGES (Rangeland Analysis Utilizing Geospatial Information Science) project was defined to be the accurate conversion of remotely sensed data (satellite imagery) to quantitative estimates of total (green and senescent) standing cover and biomass on grasslands and semidesert grasslands. Although remote sensing has been used to estimate green vegetation cover, in arid grasslands herbaceous vegetation is senescent much of the year and is not detected by current remote sensing techniques. We developed a ground truth protocol compatible with both range management requirements and Landsat's 30 m resolution imagery. The resulting ground-truth data were then used to develop image processing algorithms that quantified total herbaceous vegetation cover, height, and biomass. Cover was calculated based on a newly developed Soil Adjusted Total Vegetation Index (SATVI), and height and biomass were estimated based on reflectance in the near infrared (NIR) band. Comparison of the remotely sensed estimates with independent ground measurements produced r2 values of 0.80, 0.85, and 0.77 and Nash Sutcliffe values of 0.78, 0.70, and 0.77 for the cover, plant height, and biomass, respectively. The approach for estimating plant height and biomass did not work for sites where forbs comprised more than 30% of total vegetative cover. The ground reconnaissance protocol and image processing techniques together offer land managers accurate and timely methods for monitoring extensive grasslands. The time-consuming requirement to collect concurrent data in the field for each image implies a need to share the high fixed costs of processing an image across multiple users to reduce the costs for individual rangeland managers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2111/05-201R.1","issn":"15507424","usgsCitation":"Marsett, R., Qi, J., Heilman, P., Biedenbender, S., Watson, M., Amer, S., Weltz, M., Goodrich, D., and Marsett, R., 2006, Remote sensing for grassland management in the arid Southwest: Rangeland Ecology and Management, v. 59, no. 5, p. 530-540, https://doi.org/10.2111/05-201R.1.","startPage":"530","endPage":"540","numberOfPages":"11","costCenters":[],"links":[{"id":487561,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/643104","text":"External Repository"},{"id":210309,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/05-201R.1"},{"id":237193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6fbe4b0c8380cd8515e","contributors":{"authors":[{"text":"Marsett, R.C.","contributorId":66905,"corporation":false,"usgs":true,"family":"Marsett","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":416690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, J.","contributorId":48718,"corporation":false,"usgs":true,"family":"Qi","given":"J.","email":"","affiliations":[],"preferred":false,"id":416689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heilman, P.","contributorId":44731,"corporation":false,"usgs":true,"family":"Heilman","given":"P.","email":"","affiliations":[],"preferred":false,"id":416688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biedenbender, S.H.","contributorId":95670,"corporation":false,"usgs":true,"family":"Biedenbender","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":416692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watson, M.C.","contributorId":18959,"corporation":false,"usgs":true,"family":"Watson","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":416686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amer, S.","contributorId":27663,"corporation":false,"usgs":true,"family":"Amer","given":"S.","email":"","affiliations":[],"preferred":false,"id":416687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weltz, M.","contributorId":105903,"corporation":false,"usgs":true,"family":"Weltz","given":"M.","email":"","affiliations":[],"preferred":false,"id":416694,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodrich, D.","contributorId":101864,"corporation":false,"usgs":true,"family":"Goodrich","given":"D.","affiliations":[],"preferred":false,"id":416693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marsett, R.","contributorId":69322,"corporation":false,"usgs":true,"family":"Marsett","given":"R.","affiliations":[],"preferred":false,"id":416691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70028607,"text":"70028607 - 2006 - Cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM with the ResourceSat-1 (IRS-P6) AWiFS and LISS-III sensors","interactions":[],"lastModifiedDate":"2024-09-17T15:03:45.047276","indexId":"70028607","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM with the ResourceSat-1 (IRS-P6) AWiFS and LISS-III sensors","docAbstract":"Increasingly, data from multiple sensors are used to gain a more complete understanding of land surface processes at a variety of scales. The Landsat suite of satellites has collected the longest continuous archive of multispectral data. The ResourceSat-1 Satellite (also called as IRS-P6) was launched into the polar sunsynchronous orbit on Oct 17, 2003. It carries three remote sensing sensors: the High Resolution Linear Imaging Self-Scanner (LISS-IV), Medium Resolution Linear Imaging Self-Scanner (LISS-III), and the Advanced Wide Field Sensor (AWiFS). These three sensors are used together to provide images with different resolution and coverage. To understand the absolute radiometric calibration accuracy of IRS-P6 AWiFS and LISS-III sensors, image pairs from these sensors were compared to the Landsat-5 TM and Landsat-7 ETM+ sensors. The approach involved the calibration of nearly simultaneous surface observations based on image statistics from areas observed simultaneously by the two sensors.","conferenceTitle":"GEOSS and Next-Generation Sensors and Missions","conferenceDate":"November 13-14, 2006","conferenceLocation":"Goa, India","language":"English","publisher":"SPIE","doi":"10.1117/12.693742","issn":"0277786X","usgsCitation":"Chander, G., and Scaramuzza, P., 2006, Cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM with the ResourceSat-1 (IRS-P6) AWiFS and LISS-III sensors, GEOSS and Next-Generation Sensors and Missions, v. 6407, Goa, India, November 13-14, 2006, 64070E, 12 p., https://doi.org/10.1117/12.693742.","productDescription":"64070E, 12 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":236571,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6407","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcc1e4b0c8380cd4e3fd","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":418806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":418807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70028107,"text":"70028107 - 2006 - An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data","interactions":[],"lastModifiedDate":"2017-04-11T09:59:40","indexId":"70028107","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data","docAbstract":"

Remote sensing data from both Landsat 5 and Landsat 7 systems were utilized to assess urban area thermal characteristics in Tampa Bay watershed of west-central Florida, and the Las Vegas valley of southern Nevada. To quantitatively determine urban land use extents and development densities, sub-pixel impervious surface areas were mapped for both areas. The urban–rural boundaries and urban development densities were defined by selecting certain imperviousness threshold values and Landsat thermal bands were used to investigate urban surface thermal patterns. Analysis results suggest that urban surface thermal characteristics and patterns can be identified through qualitatively based urban land use and development density data. Results show the urban area of the Tampa Bay watershed has a daytime heating effect (heat-source), whereas the urban surface in Las Vegas has a daytime cooling effect (heat-sink). These thermal effects strongly correlated with urban development densities where higher percent imperviousness is usually associated with higher surface temperature. Using vegetation canopy coverage information, the spatial and temporal distributions of urban impervious surface and associated thermal characteristics are demonstrated to be very useful sources in quantifying urban land use, development intensity, and urban thermal patterns.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2005.09.023","issn":"00344257","usgsCitation":"Xian, G., and Crane, M., 2006, An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data: Remote Sensing of Environment, v. 104, no. 2, p. 147-156, https://doi.org/10.1016/j.rse.2005.09.023.","productDescription":"10 p.","startPage":"147","endPage":"156","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":210392,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2005.09.023"},{"id":237297,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f7e4b0c8380cd48561","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":416559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crane, Mike","contributorId":99824,"corporation":false,"usgs":true,"family":"Crane","given":"Mike","email":"","affiliations":[],"preferred":false,"id":416560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70029152,"text":"70029152 - 2006 - Radiometric calibration stability of the EO-1 advanced land imager: 5 years on-orbit","interactions":[],"lastModifiedDate":"2022-05-18T15:29:50.704432","indexId":"70029152","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric calibration stability of the EO-1 advanced land imager: 5 years on-orbit","docAbstract":"The Advanced Land Imager (ALI) was developed as a prototype sensor for follow on missions to Landsat-7. It was launched in November 2000 on the Earth Observing One (EO-1) satellite as a nominal one-year technology demonstration mission. As of this writing, the sensor has continued to operate in excess of 5 years. Six of the ALl's nine multi-spectral (MS) bands and the panchromatic band have similar spectral coverage as those on the Landsat-7 ETM+. In addition to on-board lamps, which have been significantly more stable than the lamps on ETM+, the ALI has a solar diffuser and has imaged the moon monthly since launch. This combined calibration dataset allows understanding of the radiometric stability of the ALI system, its calibrators and some differentiation of the sources of the changes with time. The solar dataset is limited as the mechanism controlling the aperture to the solar diffuser failed approximately 18 months after launch. Results over 5 years indicate that: the shortest wavelength band (443 nm) has degraded in response about 2%; the 482 nm and 565 nm bands decreased in response about 1%; the 660 nm, 790 nm and 868 nm bands each degraded about 5%; the 1250 nm and 1650 nm bands did not change significantly and the 2215 nm band increased in response about 2%.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sensors, Systems, and Next-Generation Satellites X","conferenceDate":"Sep 11-13, 2006","conferenceLocation":"Stockholm, Sweden","language":"English","publisher":"SPIE","doi":"10.1117/12.690058","usgsCitation":"Markham, B.L., Ong, L., Barsi, J., Mendenhall, J.A., Lencioni, D.E., Helder, D., Hollaren, D., and Morfitt, R., 2006, Radiometric calibration stability of the EO-1 advanced land imager: 5 years on-orbit, in Proceedings of SPIE - The International Society for Optical Engineering, v. 6361, Stockholm, Sweden, Sep 11-13, 2006, 63610U, https://doi.org/10.1117/12.690058.","productDescription":"63610U","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":237467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6361","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a940ee4b0c8380cd81199","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":421543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ong, L.","contributorId":63565,"corporation":false,"usgs":true,"family":"Ong","given":"L.","email":"","affiliations":[],"preferred":false,"id":421540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":421538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendenhall, J. A.","contributorId":76928,"corporation":false,"usgs":true,"family":"Mendenhall","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":421541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lencioni, D. E.","contributorId":82893,"corporation":false,"usgs":true,"family":"Lencioni","given":"D.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":421542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":421539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hollaren, D. M.","contributorId":99763,"corporation":false,"usgs":true,"family":"Hollaren","given":"D. M.","affiliations":[],"preferred":false,"id":421544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, R. 0000-0002-4777-4877","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":103858,"corporation":false,"usgs":true,"family":"Morfitt","given":"R.","affiliations":[],"preferred":false,"id":421545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70030442,"text":"70030442 - 2006 - A method for mapping corn using the US Geological Survey 1992 National Land Cover Dataset","interactions":[],"lastModifiedDate":"2017-04-11T15:54:41","indexId":"70030442","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1313,"text":"Computers and Electronics in Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"A method for mapping corn using the US Geological Survey 1992 National Land Cover Dataset","docAbstract":"

Long-term exposure to elevated nitrate levels in community drinking water supplies has been associated with an elevated risk of several cancers including non-Hodgkin's lymphoma, colon cancer, and bladder cancer. To estimate human exposure to nitrate, specific crop type information is needed as fertilizer application rates vary widely by crop type. Corn requires the highest application of nitrogen fertilizer of crops grown in the Midwest US. We developed a method to refine the US Geological Survey National Land Cover Dataset (NLCD) (including map and original Landsat images) to distinguish corn from other crops. Overall average agreement between the resulting corn and other row crops class and ground reference data was 0.79 kappa coefficient with individual Landsat images ranging from 0.46 to 0.93 kappa. The highest accuracies occurred in Regions where corn was the single dominant crop (greater than 80.0%) and the crop vegetation conditions at the time of image acquisition were optimum for separation of corn from all other crops. Factors that resulted in lower accuracies included the accuracy of the NLCD map, accuracy of corn areal estimates, crop mixture, crop condition at the time of Landsat overpass, and Landsat scene anomalies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.compag.2005.11.003","issn":"01681699","usgsCitation":"Maxwell, S., Nuckols, J., and Ward, M., 2006, A method for mapping corn using the US Geological Survey 1992 National Land Cover Dataset: Computers and Electronics in Agriculture, v. 51, no. 1-2, p. 54-65, https://doi.org/10.1016/j.compag.2005.11.003.","productDescription":"12 p.","startPage":"54","endPage":"65","numberOfPages":"12","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":239100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211750,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.compag.2005.11.003"}],"volume":"51","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e455e4b0c8380cd465b4","contributors":{"authors":[{"text":"Maxwell, S.K.","contributorId":36665,"corporation":false,"usgs":true,"family":"Maxwell","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":427166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuckols, J.R.","contributorId":85385,"corporation":false,"usgs":true,"family":"Nuckols","given":"J.R.","affiliations":[],"preferred":false,"id":427167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, M.H.","contributorId":35939,"corporation":false,"usgs":true,"family":"Ward","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":427165,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70028089,"text":"70028089 - 2006 - Canopy reflectance related to marsh dieback onset and progression in Coastal Louisiana","interactions":[],"lastModifiedDate":"2019-10-08T18:20:02","indexId":"70028089","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","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":"Canopy reflectance related to marsh dieback onset and progression in Coastal Louisiana","docAbstract":"

In this study, we extended previous work linking leaf spectral changes, dieback onset, and progression of Spartina alterniflora marshes to changes in site-specific canopy reflectance spectra. First, we obtained canopy reflectance spectra (approximately 20 m ground resolution) from the marsh sites occupied during the leaf spectral analyses and from additional sites exhibiting visual signs of dieback. Subsequently, the canopy spectra were analyzed at two spectral scales: the first scale corresponded to whole-spectra sensors, such as the NASA Earth Observing-1 (EO-1) Hyperion, and the second scale corresponded to broadband spectral sensors, such as the EO-1 Advanced Land Imager and the Landsat Enhanced Thematic Mapper. In the whole-spectra analysis, spectral indicators were generated from the whole canopy spectra (about 400 nm to 1,000 nm) by extracting typical dead and healthy marsh spectra, and subsequently using them to determine the percent composition of all canopy reflectance spectra. Percent compositions were then used to classify canopy spectra at each field site into groups exhibiting similar levels of dieback progression ranging from relatively healthy to completely dead. In the broadband reflectance analysis, blue, green, red, red-edge, and near infrared (NIR) spectral bands and NIR/green and NIR/red transforms were extracted from the canopy spectra. Spectral band and band transform indicators of marsh dieback and progression were generated by relating them to marsh status indicators derived from classifications of the 35 mm slides collected at the same time as the canopy reflectance recordings. The whole spectra and broadband spectral indicators were both able to distinguish (a) healthy marsh, (b) live marsh impacted by dieback, and (c) dead marsh, and they both provided some discrimination of dieback progression. Whole-spectra resolution sensors like the EO-1 Hyperion, however, offered an enhanced ability to categorize dieback progression. 

","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.72.6.641","issn":"00991112","usgsCitation":"Ramsey, E., and Rangoonwala, A., 2006, Canopy reflectance related to marsh dieback onset and progression in Coastal Louisiana: Photogrammetric Engineering and Remote Sensing, v. 72, no. 6, p. 641-652, https://doi.org/10.14358/PERS.72.6.641.","productDescription":"12 p.","startPage":"641","endPage":"652","numberOfPages":"12","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":477527,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.72.6.641","text":"Publisher Index Page"},{"id":237014,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.17529296875,\n 29.391747742992806\n ],\n [\n -90.63720703125,\n 29.391747742992806\n ],\n [\n -90.63720703125,\n 30.817346256492073\n ],\n [\n -92.17529296875,\n 30.817346256492073\n ],\n [\n -92.17529296875,\n 29.391747742992806\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f345e4b0c8380cd4b6dc","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":416491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, A. 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":95248,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":416492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}