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,{"id":70046982,"text":"70046982 - 2004 - Landsat yesterday and today: An American vision and an old challenge","interactions":[],"lastModifiedDate":"2013-07-11T13:58:18","indexId":"70046982","displayToPublicDate":"2004-01-01T13:54:35","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2374,"text":"Journal of Map & Geography Libraries","active":true,"publicationSubtype":{"id":10}},"title":"Landsat yesterday and today: An American vision and an old challenge","docAbstract":"Since the late 1960s, the United States government has invested more than $1 billion in designing, launching, and operating the Landsat (land satellite) series of Earth-observing satellites. Global change researchers, geologists, and environmental scientists have used images gathered by the satellites for purposes ranging from human health research, energy exploration, and pollution detection to agricultural assessments, urban growth monitoring, and earthquake lineament studies.  The earliest data were captured on a digital medium called wide-band video tape (WBVT). However, two decades of unsound media storage conditions and a poorly maintained processing system have left the physically deteriorating WBVTs with no mechanism for interpretation. A national treasure was in jeopardy. With seed money from the National Aeronautics and Space Administration (NASA), the U.S. Geological Survey (USGS) began a project to rescue the data. More than 21,000 tapes from the 1970s have been transcribed to stable, archival media, preserving the data for future studies in Earth System Science.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Map & Geography Libraries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1300/J230v01n01_04","usgsCitation":"Faundeen, J., Williams, D.L., and Greenhagen, C.A., 2004, Landsat yesterday and today: An American vision and an old challenge: Journal of Map & Geography Libraries, v. 1, no. 1, p. 59-73, https://doi.org/10.1300/J230v01n01_04.","productDescription":"15 p.","startPage":"59","endPage":"73","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":274884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274883,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1300/J230v01n01_04"}],"country":"United States","volume":"1","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfd3e5e4b0d332bf22f3a5","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":480797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Darrel L.","contributorId":20627,"corporation":false,"usgs":true,"family":"Williams","given":"Darrel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenhagen, Cheryl A.","contributorId":99449,"corporation":false,"usgs":true,"family":"Greenhagen","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480799,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026375,"text":"70026375 - 2004 - Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis","interactions":[],"lastModifiedDate":"2018-02-22T16:39:56","indexId":"70026375","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis","docAbstract":"<p>The researchers calculated seasonal integrated normalized difference vegetation index (NDVI) for each of 7 years using a time-series of 1-km data from the Advanced Very High Resolution Radiometer (AVHRR) (1992-93, 1995) and SPOT Vegetation (1998-2001) sensors. We used a local variance technique to identify each pixel as normal or either positively or negatively anomalous when compared to its surroundings. We then summarized the number of years that a given pixel was identified as an anomaly. The resulting anomaly maps were analysed using Landsat TM imagery and extensive ground knowledge to assess the results. This technique identified anomalies that can be linked to numerous anthropogenic impacts including agricultural and urban expansion, maintenance of protected areas and increased fallow. Local variance analysis is a reliable method for assessing vegetation degradation resulting from human pressures or increased land productivity from natural resource management practices. ?? 2004 Published by Elsevier Ltd.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jaridenv.2004.03.020","issn":"01401963","usgsCitation":"Budde, M., Tappan, G., Rowland, J., Lewis, J., and Tieszen, L., 2004, Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis: Journal of Arid Environments, v. 59, no. 3, p. 481-498, https://doi.org/10.1016/j.jaridenv.2004.03.020.","productDescription":"18 p.","startPage":"481","endPage":"498","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208597,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jaridenv.2004.03.020"}],"country":"Senegal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -17.11669921875,\n              12.232654837013484\n            ],\n            [\n              -17.11669921875,\n              16.678293098288528\n            ],\n            [\n              -11.2939453125,\n              16.678293098288528\n            ],\n            [\n              -11.2939453125,\n              12.232654837013484\n            ],\n            [\n              -17.11669921875,\n              12.232654837013484\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edd9e4b0c8380cd49a4e","contributors":{"authors":[{"text":"Budde, M.E. 0000-0002-9098-2751","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":56837,"corporation":false,"usgs":true,"family":"Budde","given":"M.E.","affiliations":[],"preferred":false,"id":409234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tappan, G. 0000-0002-2240-6963","orcid":"https://orcid.org/0000-0002-2240-6963","contributorId":26859,"corporation":false,"usgs":true,"family":"Tappan","given":"G.","affiliations":[],"preferred":false,"id":409233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":409231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, J.","contributorId":79672,"corporation":false,"usgs":true,"family":"Lewis","given":"J.","affiliations":[],"preferred":false,"id":409235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tieszen, L.L.","contributorId":24046,"corporation":false,"usgs":true,"family":"Tieszen","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":409232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70026377,"text":"70026377 - 2004 - Landsat-5 TM reflective-band absolute radiometric calibration","interactions":[],"lastModifiedDate":"2017-04-10T11:46:33","indexId":"70026377","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-5 TM reflective-band absolute radiometric calibration","docAbstract":"The Landsat-5 Thematic Mapper (TM) sensor provides the longest running continuous dataset of moderate spatial resolution remote sensing imagery, dating back to its launch in March 1984. Historically, the radiometric calibration procedure for this imagery used the instrument's response to the Internal Calibrator (IC) on a scene-by-scene basis to determine the gain and offset of each detector. Due to observed degradations in the IC, a new procedure was implemented for U.S.-processed data in May 2003. This new calibration procedure is based on a lifetime radiometric calibration model for the instrument's reflective bands (1-5 and 7) and is derived, in part, from the IC response without the related degradation effects and is tied to the cross calibration with the Landsat-7 Enhanced Thematic Mapper Plus. Reflective-band absolute radiometric accuracy of the instrument tends to be on the order of 7% to 10%, based on a variety of calibration methods.","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.836388","issn":"01962892","usgsCitation":"Chander, G., Helder, D., Markham, B.L., Dewald, J., Kaita, E., Thome, K.J., Micijevic, E., and Ruggles, T., 2004, Landsat-5 TM reflective-band absolute radiometric calibration: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2747-2760, https://doi.org/10.1109/TGRS.2004.836388.","productDescription":"14 p.","startPage":"2747","endPage":"2760","numberOfPages":"14","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208615,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2004.836388"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43f0e4b0c8380cd666fe","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":409262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":409263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":409267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewald, J.D.","contributorId":99014,"corporation":false,"usgs":true,"family":"Dewald","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":409268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaita, E.","contributorId":73777,"corporation":false,"usgs":true,"family":"Kaita","given":"E.","email":"","affiliations":[],"preferred":false,"id":409265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thome, K. J.","contributorId":88099,"corporation":false,"usgs":true,"family":"Thome","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":409266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":409264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruggles, T.A.","contributorId":42496,"corporation":false,"usgs":true,"family":"Ruggles","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":409261,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70026249,"text":"70026249 - 2004 - Landsat-5 Thematic Mapper outgassing effects","interactions":[],"lastModifiedDate":"2017-04-10T11:45:54","indexId":"70026249","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-5 Thematic Mapper outgassing effects","docAbstract":"A periodic 3% to 5% variation in detector response affecting both image and internal calibrator (IC) data has been observed in bands 5 and 7 of the Landsat-5 Thematic Mapper. The source for this variation is thought to be an interference effect due to buildup of an ice-like contaminant film on a ZnSe window, covered with an antireflective coating (ARC), of the cooled dewar containing these detectors. Periodic warming of the dewar is required in order to remove the contaminant and restore detector response to an uncontaminated level. These effects in the IC data have been characterized over four individual outgassing cycles using thin-film models to estimate transmittance of the window/ARC and ARC/contaminant film stack throughout the instrument lifetime. Based on the results obtained from this modeling, a lookup table procedure has been implemented that provides correction factors to improve the calibration accuracy of bands 5 and 7 by approximately 5%.","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.839086","issn":"01962892","usgsCitation":"Helder, D., and Micijevic, E., 2004, Landsat-5 Thematic Mapper outgassing effects: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2717-2729, https://doi.org/10.1109/TGRS.2004.839086.","productDescription":"13 p.","startPage":"2717","endPage":"2729","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234114,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208389,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2004.839086"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43f1e4b0c8380cd66701","contributors":{"authors":[{"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":408725,"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":408726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70026272,"text":"70026272 - 2004 - Four years of Landsat-7 on-orbit geometric calibration and performance","interactions":[],"lastModifiedDate":"2017-04-10T10:57:06","indexId":"70026272","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Four years of Landsat-7 on-orbit geometric calibration and performance","docAbstract":"Unlike its predecessors, Landsat-7 has undergone regular geometric and radiometric performance monitoring and calibration since launch in April 1999. This ongoing activity, which includes issuing quarterly updates to calibration parameters, has generated a wealth of geometric performance data over the four-year on-orbit period of operations. A suite of geometric characterization (measurement and evaluation procedures) and calibration (procedures to derive improved estimates of instrument parameters) methods are employed by the Landsat-7 Image Assessment System to maintain the geometric calibration and to track specific aspects of geometric performance. These include geodetic accuracy, band-to-band registration accuracy, and image-to-image registration accuracy. These characterization and calibration activities maintain image product geometric accuracy at a high level - by monitoring performance to determine when calibration is necessary, generating new calibration parameters, and verifying that new parameters achieve desired improvements in accuracy. Landsat-7 continues to meet and exceed all geometric accuracy requirements, although aging components have begun to affect performance.","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.836769","issn":"01962892","usgsCitation":"Lee, D., Storey, J.C., Choate, M., and Hayes, R.W., 2004, Four years of Landsat-7 on-orbit geometric calibration and performance: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2786-2795, https://doi.org/10.1109/TGRS.2004.836769.","productDescription":"10 p.","startPage":"2786","endPage":"2795","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":208595,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2004.836769"},{"id":234430,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1399e4b0c8380cd546e1","contributors":{"authors":[{"text":"Lee, D.S.","contributorId":50330,"corporation":false,"usgs":true,"family":"Lee","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":408818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storey, James C. 0000-0002-6664-7232","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":35505,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":408816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, M.J.","contributorId":41194,"corporation":false,"usgs":true,"family":"Choate","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":408817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, R. W.","contributorId":105493,"corporation":false,"usgs":true,"family":"Hayes","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":408819,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1008240,"text":"1008240 - 2004 - Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity","interactions":[],"lastModifiedDate":"2016-09-26T16:04:15","indexId":"1008240","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","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":"Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity","docAbstract":"<p><span>Our study compares data on burn severity collected from multi-temporal Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) with similar data from the Enhanced Thematic Mapper Plus (ETM+) using the differenced Normalized Burn Ratio (dNBR). Two AVIRIS and ETM+ data acquisitions recorded surface conditions immediately before the Hoover Fire began to spread rapidly and again the following year. Data were validated with 63 field plots using the Composite Burn Index (CBI). The relationship between spectral channels and burn severity was examined by comparing pre- and post-fire datasets. Based on the high burn severity comparison, AVIRIS channels 47 and 60 at wavelengths of 788 and 913 nm showed the greatest negative response to fire. Post-fire reflectance values decreased the most on average at those wavelengths, while channel 210 at 2370 nm showed the greatest positive response on average. Fire increased reflectance the most at that wavelength over the entire measured spectral range. Furthermore, channel 210 at 2370 nm exhibited the greatest variation in spectral response, suggesting potentially high information content for fire severity. Based on general remote sensing principles and the logic of variable spectral responses to fire, dNBR from both sensors should produce useful results in quantifying burn severity. The results verify the band–response relationships to burn severity as seen with ETM+ data and confirm the relationships by way of a distinctly different sensor system.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2003.12.015","usgsCitation":"Van Wagtendonk, J.W., Root, R.R., and Key, C.H., 2004, Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity: Remote Sensing of Environment, v. 92, no. 3, p. 397-408, https://doi.org/10.1016/j.rse.2003.12.015.","productDescription":"12 p.","startPage":"397","endPage":"408","numberOfPages":"12","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":132209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae429","contributors":{"authors":[{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":317122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Root, Ralph R.","contributorId":174937,"corporation":false,"usgs":false,"family":"Root","given":"Ralph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":317123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Key, Carl H. carl_key@usgs.gov","contributorId":4138,"corporation":false,"usgs":true,"family":"Key","given":"Carl","email":"carl_key@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":317121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1008248,"text":"1008248 - 2004 - The role of fire and fire management in the invasion of nonnative plants","interactions":[],"lastModifiedDate":"2016-09-28T11:28:50","indexId":"1008248","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"The role of fire and fire management in the invasion of nonnative plants","docAbstract":"Spacecraft imagery, especially from the National Atmospheric and Oceanic Administration's Improved TIROS (Television Infra-Red Observational Satellite) Operational Satellites, permits timely evaluations of snow and ice conditions encountered by arctic nesting geese.  Imagery from the TIROS satellite for 5 wide]y scattered locations in arctic North America was obtained for three 3-day intervals in June 1973 and 1974.  These pictures were used to expand fragmentary habitat data available from ground observations.  Late disappearance of snow and ice may prevent or retard nesting effort and reproductive success.  Our immediate aim is to recognize years of catastrophic or very good production; however, supporting information from ground studies, LANDSAT imagery, analyses of banding data, and studies of age ratios in popu]ations and harvests eventua]]y may permit assessment of relative reproductive success.  Satellite images from both Multi-Spectral Scanner and Very High Resolution Radiomder sensors were first used as management tools for consideration in setting the U.S. and Canadian regulations for the 1975-76 goose hunting season.  Preliminary age ratio data from field observations and harvests substantiated the prediction of good production during the 1975 breeding season.","language":"English","publisher":"U.S. Department of the Interior, National Park Service","usgsCitation":"Merriam, K.E., McGinnis, T.W., and Keeley, J.E., 2004, The role of fire and fire management in the invasion of nonnative plants: Park Science, v. 22, no. 2, p. 32-36, 52.","productDescription":"6 p.","startPage":"32","endPage":"36, 52","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":131465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329066,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/ParkScience/archive/PDF/ParkScience22(2)Fall2004.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"22","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6fe4b07f02db640e7e","contributors":{"authors":[{"text":"Merriam, Kyle E.","contributorId":82801,"corporation":false,"usgs":true,"family":"Merriam","given":"Kyle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":317143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGinnis, Thomas W.","contributorId":87272,"corporation":false,"usgs":true,"family":"McGinnis","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":317142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":317144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70027099,"text":"70027099 - 2004 - Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest","interactions":[],"lastModifiedDate":"2017-04-10T11:56:23","indexId":"70027099","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","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":"Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest","docAbstract":"<p><span>Structural and functional analyses of ecosystems benefit when high accuracy vegetation coverages can be derived over large areas. In this study, we utilize IKONOS, Landsat 7 ETM+, and airborne scanning light detection and ranging (lidar) to quantify coniferous forest and understory grass coverages in a ponderosa pine (</span><i>Pinus ponderosa</i><span>) dominated ecosystem in the Black Hills of South Dakota. Linear spectral mixture analyses of IKONOS and ETM+ data were used to isolate spectral endmembers (bare soil, understory grass, and tree/shade) and calculate their subpixel fractional coverages. We then compared these endmember cover estimates to similar cover estimates derived from lidar data and field measures. The IKONOS-derived tree/shade fraction was significantly correlated with the field-measured canopy effective leaf area index (LAI</span><sub>e</sub><span>) (</span><i>r</i><sup>2</sup><span>=0.55, </span><i>p</i><span>&lt;0.001) and with the lidar-derived estimate of tree occurrence (</span><i>r</i><sup>2</sup><span>=0.79, </span><i>p</i><span>&lt;0.001). The enhanced vegetation index (EVI) calculated from IKONOS imagery showed a negative correlation with the field measured tree canopy effective LAI and lidar tree cover response (</span><i>r</i><sup>2</sup><span>=0.30, </span><i>r</i><span>=−0.55 and </span><i>r</i><sup>2</sup><span>=0.41, </span><i>r</i><span>=−0.64, respectively; </span><i>p</i><span>&lt;0.001) and further analyses indicate a strong linear relationship between EVI and the IKONOS-derived grass fraction (</span><i>r</i><sup>2</sup><span>=0.99, </span><i>p</i><span>&lt;0.001). We also found that using EVI resulted in better agreement with the subpixel vegetation fractions in this ecosystem than using normalized difference of vegetation index (NDVI). Coarsening the IKONOS data to 30 m resolution imagery revealed a stronger relationship with lidar tree measures (</span><i>r</i><sup>2</sup><span>=0.77, </span><i>p</i><span>&lt;0.001) than at 4 m resolution (</span><i>r</i><sup>2</sup><span>=0.58, </span><i>p</i><span>&lt;0.001). Unmixed tree/shade fractions derived from 30 m resolution ETM+ imagery also showed a significant correlation with the lidar data (</span><i>r</i><sup>2</sup><span>=0.66, </span><i>p</i><span>&lt;0.001). These results demonstrate the power of using high resolution lidar data to validate spectral unmixing results of satellite imagery, and indicate that IKONOS data and Landsat 7 ETM+ data both can serve to make the important distinction between tree/shade coverage and exposed understory grass coverage during peak summertime greenness in a ponderosa pine forest ecosystem.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2003.11.003","issn":"00344257","usgsCitation":"Chen, X., Vierling, L., Rowell, E., and DeFelice, T., 2004, Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest: Remote Sensing of Environment, v. 91, no. 1, p. 14-26, https://doi.org/10.1016/j.rse.2003.11.003.","productDescription":"13 p.","startPage":"14","endPage":"26","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235227,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209050,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2003.11.003"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc068e4b08c986b32a0e5","contributors":{"authors":[{"text":"Chen, X.","contributorId":76527,"corporation":false,"usgs":true,"family":"Chen","given":"X.","affiliations":[],"preferred":false,"id":412345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vierling, Lee","contributorId":17022,"corporation":false,"usgs":true,"family":"Vierling","given":"Lee","affiliations":[],"preferred":false,"id":412343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowell, E.","contributorId":26867,"corporation":false,"usgs":true,"family":"Rowell","given":"E.","email":"","affiliations":[],"preferred":false,"id":412344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeFelice, Tom","contributorId":9829,"corporation":false,"usgs":true,"family":"DeFelice","given":"Tom","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":412342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70027039,"text":"70027039 - 2004 - Thematic accuracy of the 1992 National Land-Cover Data for the western United States","interactions":[],"lastModifiedDate":"2017-04-10T11:53:51","indexId":"70027039","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","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":"Thematic accuracy of the 1992 National Land-Cover Data for the western United States","docAbstract":"<p><span>The MultiResolution Land Characteristics (MRLC) consortium sponsored production of the National Land Cover Data (NLCD) for the conterminous United States, using Landsat imagery collected on a target year of 1992 (1992 NLCD). Here we report the thematic accuracy of the 1992 NLCD for the six western mapping regions. Reference data were collected in each region for a probability sample of pixels stratified by map land-cover class. Results are reported for each of the six mapping regions with agreement defined as a match between the primary or alternate reference land-cover label and a mode class of the mapped 3×3 block of pixels centered on the sample pixel. Overall accuracy at Anderson Level II was low and variable across the regions, ranging from 38% for the Midwest to 70% for the Southwest. Overall accuracy at Anderson Level I was higher and more consistent across the regions, ranging from 82% to 85% for five of the six regions, but only 74% for the South-central region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2004.04.002","issn":"00344257","usgsCitation":"Wickham, J., Stehman, S., Smith, J., and Yang, L., 2004, Thematic accuracy of the 1992 National Land-Cover Data for the western United States: Remote Sensing of Environment, v. 91, no. 3-4, p. 452-468, https://doi.org/10.1016/j.rse.2004.04.002.","productDescription":"17 p.","startPage":"452","endPage":"468","numberOfPages":"17","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209120,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2004.04.002"}],"volume":"91","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb1efe4b08c986b3254cf","contributors":{"authors":[{"text":"Wickham, J.D.","contributorId":28329,"corporation":false,"usgs":true,"family":"Wickham","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":412099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, S.V.","contributorId":91974,"corporation":false,"usgs":false,"family":"Stehman","given":"S.V.","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":412101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, J.H.","contributorId":49331,"corporation":false,"usgs":true,"family":"Smith","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":412100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, L.","contributorId":6200,"corporation":false,"usgs":true,"family":"Yang","given":"L.","affiliations":[],"preferred":false,"id":412098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70027032,"text":"70027032 - 2004 - Mapping recent lava flows at Westdahl Volcano, Alaska, using radar and optical satellite imagery","interactions":[],"lastModifiedDate":"2019-05-23T09:30:18","indexId":"70027032","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","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":"Mapping recent lava flows at Westdahl Volcano, Alaska, using radar and optical satellite imagery","docAbstract":"<p><span>Field mapping of young lava flows at Aleutian volcanoes is logistically difficult, and the utility of optical images from aircraft or satellites for this purpose is greatly reduced by persistent cloud cover. These factors have hampered earlier estimates of the areas and volumes of three young lava flows at Westdahl Volcano, including its most recent (1991–1992) flow. We combined information from synthetic aperture radar (SAR) images with multispectral Landsat-7 data to differentiate the 1991–1992 flow from the 1964 flow and a pre-1964 flow, and to calculate the flow areas (8.4, 9.2, and 7.3 km</span><sup>2</sup><span>, respectively). By differencing a digital elevation model (DEM) from the 1970–1980s with a DEM from the Shuttle Radar Topography Mission (SRTM) in February 2000, we estimated the average thickness of the 1991–1992 flow to be 13 m, which reasonably agrees with field observations (5–10 m). Lava-flow maps produced in this way can be used to facilitate field mapping and flow-hazards assessment, and to study magma-supply dynamics and thus to anticipate future eruptive activity. Based on the recurrence interval of recent eruptions and the results of this study, the next eruption at Westdahl may occur before the end of this decade.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2004.03.015","issn":"00344257","usgsCitation":"Lu, Z., Rykhus, R., Masterlark, T., and Dean, K., 2004, Mapping recent lava flows at Westdahl Volcano, Alaska, using radar and optical satellite imagery: Remote Sensing of Environment, v. 91, no. 3-4, p. 345-353, https://doi.org/10.1016/j.rse.2004.03.015.","productDescription":"9 p.","startPage":"345","endPage":"353","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":235223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209047,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2004.03.015"}],"country":"United States","state":"Alaska","otherGeospatial":"Westdahl Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.79629516601562,\n              54.44449176335762\n            ],\n            [\n              -164.43237304687497,\n              54.44449176335762\n            ],\n            [\n              -164.43237304687497,\n              54.59593668117202\n            ],\n            [\n              -164.79629516601562,\n              54.59593668117202\n            ],\n            [\n              -164.79629516601562,\n              54.44449176335762\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5072e4b0c8380cd6b6c4","contributors":{"authors":[{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":412075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rykhus, Russ","contributorId":53575,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russ","email":"","affiliations":[],"preferred":false,"id":412072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":412074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, K.G.","contributorId":64402,"corporation":false,"usgs":true,"family":"Dean","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":412073,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70026971,"text":"70026971 - 2004 - Non-invasive exploration in an environmentally sensitive world","interactions":[],"lastModifiedDate":"2012-03-12T17:20:35","indexId":"70026971","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Non-invasive exploration in an environmentally sensitive world","docAbstract":"Modern remote sensing provides a means for locating and characterizing exposed mineralized systems in many parts of the world. These capabilities are non-invasive and help target specific areas for more detailed exploration. An example of how remote sensing technology can be used is evident from a study of the Questa Mining District, New Mexico. Analysis of low spectral resolution data from the Landsat Thematic Mapper satellite system clearly shows the regional distribution of two broad mineral groups often associated with mineralized systems: clay-carbonate-sulfate and iron oxides-iron hydroxides. Analysis of high spectral resolution data from the Airborne Visible and Infrared Imaging System (AVIRIS) shows the occurrence and distribution of many individual mineral species that characterize the pattern of hydrothermally altered rocks in the district.","largerWorkTitle":"2004 SME Annual Meeting Preprints","conferenceTitle":"2004 SME Annual Meeting Preprints","conferenceDate":"23 February 2004 through 25 February 2004","conferenceLocation":"Denver, CO","language":"English","usgsCitation":"Livo, K., and Knepper, D.H., 2004, Non-invasive exploration in an environmentally sensitive world, <i>in</i> 2004 SME Annual Meeting Preprints, Denver, CO, 23 February 2004 through 25 February 2004, p. 1121-1128.","startPage":"1121","endPage":"1128","numberOfPages":"8","costCenters":[],"links":[{"id":235324,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a674ae4b0c8380cd7326c","contributors":{"authors":[{"text":"Livo, K.E. 0000-0001-7331-8130","orcid":"https://orcid.org/0000-0001-7331-8130","contributorId":61471,"corporation":false,"usgs":true,"family":"Livo","given":"K.E.","affiliations":[],"preferred":false,"id":411830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knepper, D. H. Jr.","contributorId":106129,"corporation":false,"usgs":true,"family":"Knepper","given":"D.","suffix":"Jr.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":411831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70026878,"text":"70026878 - 2004 - An automated approach to mapping corn from Landsat imagery","interactions":[],"lastModifiedDate":"2017-04-10T10:48:12","indexId":"70026878","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","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":"An automated approach to mapping corn from Landsat imagery","docAbstract":"<p><span>Most land cover maps generated from Landsat imagery involve classification of a wide variety of land cover types, whereas some studies may only need spatial information on a single cover type. For example, we required a map of corn in order to estimate exposure to agricultural chemicals for an environmental epidemiology study. Traditional classification techniques, which require the collection and processing of costly ground reference data, were not feasible for our application because of the large number of images to be analyzed. We present a new method that has the potential to automate the classification of corn from Landsat satellite imagery, resulting in a more timely product for applications covering large geographical regions. Our approach uses readily available agricultural areal estimates to enable automation of the classification process resulting in a map identifying land cover as ‘highly likely corn,’ ‘likely corn’ or ‘unlikely corn.’ To demonstrate the feasibility of this approach, we produced a map consisting of the three corn likelihood classes using a Landsat image in south central Nebraska. Overall classification accuracy of the map was 92.2% when compared to ground reference data.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.compag.2003.09.001","issn":"01681699","usgsCitation":"Maxwell, S., Nuckols, J., Ward, M., and Hoffer, R., 2004, An automated approach to mapping corn from Landsat imagery: Computers and Electronics in Agriculture, v. 43, no. 1, p. 43-54, https://doi.org/10.1016/j.compag.2003.09.001.","productDescription":"12 p.","startPage":"43","endPage":"54","numberOfPages":"12","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235612,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209309,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.compag.2003.09.001"}],"volume":"43","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea1fe4b0c8380cd48651","contributors":{"authors":[{"text":"Maxwell, S.K.","contributorId":36665,"corporation":false,"usgs":true,"family":"Maxwell","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":411473,"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":411474,"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":411472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffer, R.M.","contributorId":6861,"corporation":false,"usgs":true,"family":"Hoffer","given":"R.M.","affiliations":[],"preferred":false,"id":411471,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70026738,"text":"70026738 - 2004 - A definitive calibration record for the Landsat-5 thematic mapper anchored to the Landsat-7 radiometric scale","interactions":[],"lastModifiedDate":"2017-04-10T10:52:42","indexId":"70026738","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A definitive calibration record for the Landsat-5 thematic mapper anchored to the Landsat-7 radiometric scale","docAbstract":"<p>A coordinated effort on the part of several agencies has led to the specification of a definitive radiometric calibration record for the Landsat-5 thematic mapper (TM) for its lifetime since launch in 1984. The time-dependent calibration record for Landsat-5 TM has been placed on the same radiometric scale as the Landsat-7 enhanced thematic mapper plus (ETM+). It has been implemented in the National Landsat Archive Production Systems (NLAPS) in use in North America. This paper documents the results of this collaborative effort and the specifications for the related calibration processing algorithms. The specifications include (i) anchoring of the Landsat-5 TM calibration record to the Landsat-7 ETM+ absolute radiometric calibration, (ii) new time-dependent calibration processing equations and procedures applicable to raw Landsat-5 TM data, and (iii) algorithms for recalibration computations applicable to some of the existing processed datasets in the North American context. The cross-calibration between Landsat-5 TM and Landsat-7 ETM+ was achieved using image pairs from the tandem-orbit configuration period that was programmed early in the Laridsat-7 mission. The time-dependent calibration for Landsat-5 TM is based on a detailed trend analysis of data from the on-board internal calibrator. The new lifetime radiometric calibration record for Landsat-5 will overcome problems with earlier product generation owing to inadequate maintenance and documentation of the calibration over time and will facilitate the quantitative examination of a continuous, near-global dataset at 30-m scale that spans almost two decades.</p>","language":"English","publisher":"Canadian Aeronautics and Space Institute","doi":"10.5589/m04-022","issn":"07038992","usgsCitation":"Teillet, P., Helder, D., Ruggles, T., Landry, R., Ahern, F., Higgs, N., Barsi, J., Chander, G., Markham, B.L., Barker, J.L., Thome, K.J., Schott, J.R., and Palluconi, F.D., 2004, A definitive calibration record for the Landsat-5 thematic mapper anchored to the Landsat-7 radiometric scale: Canadian Journal of Remote Sensing, v. 30, no. 4, p. 631-643, https://doi.org/10.5589/m04-022.","productDescription":"13 p.","startPage":"631","endPage":"643","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":233955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"5059e3ade4b0c8380cd46184","contributors":{"authors":[{"text":"Teillet, P.M.","contributorId":23717,"corporation":false,"usgs":true,"family":"Teillet","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":410805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":410810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruggles, T.A.","contributorId":42496,"corporation":false,"usgs":true,"family":"Ruggles","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":410807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landry, R.","contributorId":107579,"corporation":false,"usgs":true,"family":"Landry","given":"R.","email":"","affiliations":[],"preferred":false,"id":410814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahern, F.J.","contributorId":45194,"corporation":false,"usgs":true,"family":"Ahern","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":410808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higgs, N.J.","contributorId":9141,"corporation":false,"usgs":true,"family":"Higgs","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":410802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barsi, J.","contributorId":30109,"corporation":false,"usgs":true,"family":"Barsi","given":"J.","affiliations":[],"preferred":false,"id":410806,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":410809,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":410813,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barker, J. L.","contributorId":83518,"corporation":false,"usgs":true,"family":"Barker","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":410811,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thome, K. J.","contributorId":88099,"corporation":false,"usgs":true,"family":"Thome","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":410812,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schott, J. R.","contributorId":16613,"corporation":false,"usgs":true,"family":"Schott","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":410804,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Palluconi, Frank Don","contributorId":14952,"corporation":false,"usgs":true,"family":"Palluconi","given":"Frank","email":"","middleInitial":"Don","affiliations":[],"preferred":false,"id":410803,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70026727,"text":"70026727 - 2004 - Has the conversion of natural wetlands to agricultural land increased the incidence and severity of damaging freezes in south Florida?","interactions":[],"lastModifiedDate":"2017-04-10T10:58:53","indexId":"70026727","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2786,"text":"Monthly Weather Review","active":true,"publicationSubtype":{"id":10}},"title":"Has the conversion of natural wetlands to agricultural land increased the incidence and severity of damaging freezes in south Florida?","docAbstract":"<p>On several occasions, winter freezes have wrought severe destruction on Florida agriculture. A series of devastating freezes around the turn of the twentieth century, and again during the 1980s, were related to anomalies in the large-scale flow of the ocean–atmosphere system. During the twentieth century, substantial areas of wetlands in south Florida were drained and converted to agricultural land for winter fresh vegetable and sugarcane production. During this time, much of the citrus industry also was relocated to those areas to escape the risk of freeze farther to the north. The purpose of this paper is to present a modeling study designed to investigate whether the conversion of the wetlands to agriculture itself could have resulted in or exacerbated the severity of recent freezes in those agricultural areas of south Florida.</p><p>For three recent freeze events, a pair of simulations was undertaken with the Regional Atmospheric Modeling System. One member of each pair employed land surface properties that represent pre-1900s (near natural) land cover, whereas the other member of each pair employed data that represent near-current land-use patterns as derived from analysis of Landsat data valid for 1992/93. These two different land cover datasets capture well the conversion of wetlands to agriculture in south Florida during the twentieth century. Use of current land surface properties resulted in colder simulated minimum temperatures and temperatures that remained below freezing for a longer period at locations of key agricultural production centers in south Florida that were once natural wetlands. Examination of time series of the surface energy budget from one of the cases reveals that when natural land cover is used, a persistent moisture flux from the underlying wetlands during the nighttime hours served to prevent the development of below-freezing temperatures at those same locations. When the model results were subjected to an important sensitivity factor, the depth of standing water in the wetlands, the outcome remained consistent. These results provide another example of the potential for humans to perturb the climate system in ways that can have severe socioeconomic consequences by altering the land surface alone.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/1520-0493(2004)132<2243:HTCONW>2.0.CO;2","issn":"00270644","usgsCitation":"Marshall, C.H., Pielke, R., and Steyaert, L.T., 2004, Has the conversion of natural wetlands to agricultural land increased the incidence and severity of damaging freezes in south Florida?: Monthly Weather Review, v. 132, no. 9, p. 2243-2258, https://doi.org/10.1175/1520-0493(2004)132<2243:HTCONW>2.0.CO;2.","productDescription":"16 p.","startPage":"2243","endPage":"2258","numberOfPages":"16","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478195,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/1520-0493(2004)132<2243:htconw>2.0.co;2","text":"Publisher Index Page"},{"id":234424,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/1520-0493(2004)132<2243:HTCONW>2.0.CO;2"}],"volume":"132","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f82e4b0c8380cd5ce48","contributors":{"authors":[{"text":"Marshall, C. H.","contributorId":31050,"corporation":false,"usgs":true,"family":"Marshall","given":"C.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":410669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pielke, R.A. Sr.","contributorId":96224,"corporation":false,"usgs":true,"family":"Pielke","given":"R.A.","suffix":"Sr.","email":"","affiliations":[],"preferred":false,"id":410671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steyaert, L. T.","contributorId":71303,"corporation":false,"usgs":true,"family":"Steyaert","given":"L.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":410670,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1015159,"text":"1015159 - 2004 - Landsat TM inventory and assessment of waterbird habitat in the southern altiplano of South America","interactions":[],"lastModifiedDate":"2017-12-27T10:38:50","indexId":"1015159","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Landsat TM inventory and assessment of waterbird habitat in the southern <i>altiplano</i> of South America","title":"Landsat TM inventory and assessment of waterbird habitat in the southern altiplano of South America","docAbstract":"<p>The diverse set of wetlands in southern <i class=\"EmphasisTypeItalic \">altiplano</i> of South America supports a number of endemic and migratory waterbirds. These species include endangered endemic flamingos and shorebirds that nest in North America and winter in the <i class=\"EmphasisTypeItalic \">altiplano</i>. This research developed maps from nine Landsat Thematic Mapper (TM) images (254,300 km<sup>2</sup>) to provide an inventory of aquatic waterbird habitats. Image processing software was used to produce a map with a classification of wetlands according to the habitat requirements of different types of waterbirds. A hierarchical procedure was used to, first, isolate the bodies of water within the TM image; second, execute an unsupervised classification on the subsetted image to produce 300 signatures of cover types, which were further subdivided as necessary. Third, each of the classifications was examined in the light of field data and personal experience for relevance to the determination of the various habitat types. Finally, the signatures were applied to the entire image and other adjacent images to yield a map depicting the location of the various waterbird habitats in the southern <i class=\"EmphasisTypeItalic \">altiplano</i>. The data sets referenced with a global positioning system receiver were used to test the classification system. Multivariate analysis of the bird communities censused at each lake by individual habitats indicated a salinity gradient, and then the depth of the water separated the birds. Multivariate analysis of the chemical and physical data from the lakes showed that the variation in lakes were significantly associated with difference in depth, transparency, latitude, elevation, and pH. The presence of gravel bottoms was also one of the qualities distinguishing a group of lakes. This information will be directly useful to the Flamingo Census Project and serve as an element for risk assessment for future development.<br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Springer","doi":"10.1007/s11273-005-1761-2","usgsCitation":"Boyle, T., Caziani, S., and Waltermire, R., 2004, Landsat TM inventory and assessment of waterbird habitat in the southern altiplano of South America: Wetlands Ecology and Management, v. 12, no. 6, p. 563-573, https://doi.org/10.1007/s11273-005-1761-2.","productDescription":"11 p.","startPage":"563","endPage":"573","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":132435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ade2b","contributors":{"authors":[{"text":"Boyle, T.P.","contributorId":79061,"corporation":false,"usgs":true,"family":"Boyle","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":322365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caziani, S.M.","contributorId":72342,"corporation":false,"usgs":true,"family":"Caziani","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":322364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waltermire, R.G.","contributorId":10386,"corporation":false,"usgs":true,"family":"Waltermire","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":322363,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026404,"text":"70026404 - 2004 - Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern Plains of the United States","interactions":[],"lastModifiedDate":"2017-04-10T10:51:15","indexId":"70026404","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern Plains of the United States","docAbstract":"<p><span>Quantifying carbon dynamics over large areas is frequently hindered by the lack of consistent, high-quality, spatially explicit land use and land cover change databases and appropriate modeling techniques. In this paper, we present a generic approach to address some of these challenges. Land cover change information in the Southeastern Plains ecoregion was derived from Landsat data acquired in 1973, 1980, 1986, 1992, and 2000 within 11 randomly located 20-km × 20-km sample blocks. Carbon dynamics within each of the sample blocks was simulated using the General Ensemble Biogeochemical Modeling System (GEMS), capable of assimilating the variances and covariance of major input variables into simulations using an ensemble approach. Results indicate that urban and forest areas have been increasing, whereas agricultural land has been decreasing since 1973. Forest clear-cutting activity has intensified, more than doubling from 1973 to 2000. The Southeastern Plains has been acting as a carbon sink since 1973, with an average rate of 0.89 Mg C/ha/yr. Biomass, soil organic carbon (SOC), and harvested materials account for 56%, 34%, and 10% of the sink, respectively. However, the sink has declined continuously during the same period owing to forest aging in the northern part of the ecoregion and increased forest clear-cutting activities in the south. The relative contributions to the sink from SOC and harvested materials have increased, implying that these components deserve more study in the future. The methods developed here can be used to quantify the impacts of human management activities on the carbon cycle at landscape to global scales.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-003-9152-z","issn":"0364152X","usgsCitation":"Liu, S., Loveland, T., and Kurtz, R., 2004, Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern Plains of the United States: Environmental Management, v. 33, no. S1, p. S442-S456, https://doi.org/10.1007/s00267-003-9152-z.","productDescription":"15 p.","startPage":"S442","endPage":"S456","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234299,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208513,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-003-9152-z"}],"volume":"33","issue":"S1","noUsgsAuthors":false,"publicationDate":"2004-03-23","publicationStatus":"PW","scienceBaseUri":"5059fa4be4b0c8380cd4da1b","contributors":{"authors":[{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":409365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":409366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurtz, R.M.","contributorId":51958,"corporation":false,"usgs":true,"family":"Kurtz","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":409364,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":58304,"text":"sir20045239 - 2004 - Ground-water pumpage and artificial recharge estimates for calendar year 2000 and average annual natural recharge and interbasin flow by hydrographic area, Nevada","interactions":[],"lastModifiedDate":"2022-07-15T13:20:53.801844","indexId":"sir20045239","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5239","title":"Ground-water pumpage and artificial recharge estimates for calendar year 2000 and average annual natural recharge and interbasin flow by hydrographic area, Nevada","docAbstract":"Nevada's reliance on ground-water resources has increased because of increased development and surface-water resources being fully appropriated. The need to accurately quantify Nevada's water resources and water use is more critical than ever to meet future demands. Estimated ground-water pumpage, artificial and natural recharge, and interbasin flow can be used to help evaluate stresses on aquifer systems. In this report, estimates of ground-water pumpage and artificial recharge during calendar year 2000 were made using data from a variety of sources, such as reported estimates and estimates made using Landsat satellite imagery. Average annual natural recharge and interbasin flow were compiled from published reports.\r\n\r\nAn estimated 1,427,100 acre-feet of ground water was pumped in Nevada during calendar year 2000. This total was calculated by summing six categories of ground-water pumpage, based on water use. Total artificial recharge during 2000 was about 145,970 acre-feet. At least one estimate of natural recharge was available for 209 of the 232 hydrographic areas (HAs). Natural recharge for the 209 HAs ranges from 1,793,420 to 2,583,150 acre-feet. Estimates of interbasin flow were available for 151 HAs.\r\n\r\nThe categories and their percentage of the total ground-water pumpage are irrigation and stock watering (47 percent), mining (26 percent), water systems (14 percent), geothermal production (8 percent), self-supplied domestic (4 percent), and miscellaneous (less than 1 percent). Pumpage in the top 10 HAs accounted for about 49 percent of the total ground-water pumpage. The most ground-water pumpage in an HA was due to mining in Pumpernickel Valley (HA 65), Boulder Flat (HA 61), and Lower Reese River Valley (HA 59). Pumpage by water systems in Las Vegas Valley (HA 212) and Truckee Meadows (HA 87) were the fourth and fifth highest pumpage in 2000, respectively. Irrigation and stock watering pumpage accounted for most ground-water withdrawals in the HAs with the sixth through ninth highest pumpage. Geothermal production accounted for most pumpage in the Carson Desert (HA 101).\r\n\r\nReinjection of ground water pumped for geothermal energy production accounted for about 64 percent (93,310 acre-feet) of the total artificial recharge. The only artificial recharge by water systems was in Las Vegas Valley, where 29,790 acre-feet of water from the Colorado River was injected into the aquifer system. Artificial recharge by mining totaled 22,870 acre-feet.\r\n\r\nNet ground-water flow was estimated only for the 143 HAs with available estimates of both natural recharge and interbasin flow. Of the 143 estimates, 58 have negative net ground-water flow, indicating that ground-water storage could be depleted if pumpage continues at the same rate. The State has designated HAs where permitted ground-water rights approach or exceed the estimated average annual recharge. Ten HAs were identified that are not designated and have a net ground-water flow between -1,000 to -35,000 acre-feet. Due to uncertainties in recharge, the water budgets for these HAs may need refining to determine if ground-water storage is being depleted.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045239","usgsCitation":"Lopes, T.J., and Evetts, D.M., 2004, Ground-water pumpage and artificial recharge estimates for calendar year 2000 and average annual natural recharge and interbasin flow by hydrographic area, Nevada: U.S. Geological Survey Scientific Investigations Report 2004-5239, 88 p., https://doi.org/10.3133/sir20045239.","productDescription":"88 p.","costCenters":[],"links":[{"id":181552,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5885,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045239/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65daed","contributors":{"authors":[{"text":"Lopes, Thomas J. tjlopes@usgs.gov","contributorId":2302,"corporation":false,"usgs":true,"family":"Lopes","given":"Thomas","email":"tjlopes@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":258691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evetts, David M. devetts@usgs.gov","contributorId":5097,"corporation":false,"usgs":true,"family":"Evetts","given":"David","email":"devetts@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":258692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186760,"text":"70186760 - 2004 - Landsat-7 ETM+ on-orbit reflective-band radiometric characterization","interactions":[],"lastModifiedDate":"2017-04-10T11:51:46","indexId":"70186760","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-7 ETM+ on-orbit reflective-band radiometric characterization","docAbstract":"<p><span>The Landsat-7 Enhanced Thematic Mapper Plus (ETM+) has been and continues to be radiometrically characterized using the Image Assessment System (IAS), a component of the Landsat-7 Ground System. Key radiometric properties analyzed include: overall, coherent, and impulse noise; bias stability; relative gain stability; and other artifacts. The overall instrument noise is characterized across the dynamic range of the instrument during solar diffuser deployments. Less than 1% per year increases are observed in signal-independent (dark) noise levels, while signal-dependent noise is stable with time. Several coherent noise sources exist in ETM+ data with scene-averaged magnitudes of up to 0.4 DN, and a noise component at 20 kHz whose magnitude varies across the scan and peaks at the image edges. Bit-flip noise does not exist on the ETM+. However, impulse noise due to charged particle hits on the detector array has been discovered. The instrument bias is measured every scan line using a shutter. Most bands show less than 0.1 DN variations in bias across the instrument lifetime. The panchromatic band is the exception, where the variation approaches 2 DN and is related primarily to temperature. The relative gains of the detectors, i.e., each detector's gain relative to the band average gain, have been stable to /spl plusmn/0.1% over the mission life. Two exceptions to this stability include band 2 detector 2, which dropped about 1% in gain about 3.5 years after launch and stabilized, and band 7 detector 5, which has changed several tenths of a percent several times since launch. Memory effect and scan-correlated shift, a hysteresis and a random change in bias between multiple states, respectively, both of which have been observed in previous Thematic Mapper sensors, have not been convincingly found in ETM+ data. Two artifacts, detector ringing and \"oversaturation\", affect a small amount of ETM+ data.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.839083","usgsCitation":"Scaramuzza, P.L., Markham, B.L., Barsi, J., and Kaita, E., 2004, Landsat-7 ETM+ on-orbit reflective-band radiometric characterization: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2796-2809, https://doi.org/10.1109/TGRS.2004.839083.","productDescription":"14 p.","startPage":"2796","endPage":"2809","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":339505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ec99dbe4b0b4d95d33525f","contributors":{"authors":[{"text":"Scaramuzza, P. L. 0000-0002-2616-8456","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":107504,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"P.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690482,"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":690483,"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":690484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaita, E.","contributorId":73777,"corporation":false,"usgs":true,"family":"Kaita","given":"E.","email":"","affiliations":[],"preferred":false,"id":690485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70026363,"text":"70026363 - 2004 - In-flight validation and recovery of water surface temperature with Landsat-5 thermal infrared data using an automated high-altitude lake validation site at Lake Tahoe","interactions":[],"lastModifiedDate":"2017-04-10T11:00:46","indexId":"70026363","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"In-flight validation and recovery of water surface temperature with Landsat-5 thermal infrared data using an automated high-altitude lake validation site at Lake Tahoe","docAbstract":"<p><span>The absolute radiometric accuracy of the thermal infrared band (B6) of the Thematic Mapper (TM) instrument on the Landsat-5 (L5) satellite was assessed over a period of approximately four years using data from the Lake Tahoe automated validation site (California-Nevada). The Lake Tahoe site was established in July 1999, and measurements of the skin and bulk temperature have been made approximately every 2 min from four permanently moored buoys since mid-1999. Assessment involved using a radiative transfer model to propagate surface skin temperature measurements made at the time of the L5 overpass to predict the at-sensor radiance. The predicted radiance was then convolved with the L5B6 system response function to obtain the predicted L5B6 radiance, which was then compared with the radiance measured by L5B6. Twenty-four cloud-free scenes acquired between 1999 and 2003 were used in the analysis with scene temperatures ranging between 4/spl deg/C and 22/spl deg/C. The results indicate L5B6 had a radiance bias of 2.5% (1.6/spl deg/C) in late 1999, which gradually decreased to 0.8% (0.5/spl deg/C) in mid-2002. Since that time, the bias has remained positive (predicted minus measured) and between 0.3% (0.2/spl deg/C) and 1.4% (0.9/spl deg/C). The cause for the cold bias (L5 radiances are lower than expected) is unresolved, but likely related to changes in instrument temperature associated with changes in instrument usage. The in situ data were then used to develop algorithms to recover the skin and bulk temperature of the water by regressing the L5B6 radiance and the National Center for Environmental Prediction (NCEP) total column water data to either the skin or bulk temperature. Use of the NCEP data provides an alternative approach to the split-window approach used with instruments that have two thermal infrared bands. The results indicate the surface skin and bulk temperature can be recovered with a standard error of 0.6/spl deg/C. This error is larger than errors obtained with other instruments due, in part, to the calibration bias. L5 provides the only long-duration high spatial resolution thermal infrared measurements of the land surface. If these data are to be used effectively in studies designed to monitor change, it is essential to continue to monitor instrument performance in-flight and develop quantitative algorithms for recovering surface temperature.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.839092","issn":"01962892","usgsCitation":"Hook, S., Chander, G., Barsi, J., Alley, R., Abtahi, A., Palluconi, F.D., Markham, B.L., Richards, R., Schladow, S., and Helder, D., 2004, In-flight validation and recovery of water surface temperature with Landsat-5 thermal infrared data using an automated high-altitude lake validation site at Lake Tahoe: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2767-2776, https://doi.org/10.1109/TGRS.2004.839092.","productDescription":"10 p.","startPage":"2767","endPage":"2776","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":208470,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2004.839092"},{"id":234226,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a39bee4b0c8380cd61a1d","contributors":{"authors":[{"text":"Hook, S.J.","contributorId":21711,"corporation":false,"usgs":true,"family":"Hook","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":409181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":409184,"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":409182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alley, R.E.","contributorId":98599,"corporation":false,"usgs":true,"family":"Alley","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":409188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abtahi, A.","contributorId":9133,"corporation":false,"usgs":true,"family":"Abtahi","given":"A.","email":"","affiliations":[],"preferred":false,"id":409179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palluconi, Frank Don","contributorId":14952,"corporation":false,"usgs":true,"family":"Palluconi","given":"Frank","email":"","middleInitial":"Don","affiliations":[],"preferred":false,"id":409180,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":409186,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richards, R.C.","contributorId":50793,"corporation":false,"usgs":true,"family":"Richards","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":409183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schladow, S.G.","contributorId":92791,"corporation":false,"usgs":true,"family":"Schladow","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":409187,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":409185,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70026370,"text":"70026370 - 2004 - Edwards plateau: Analysis of land cover trends","interactions":[],"lastModifiedDate":"2012-03-12T17:20:25","indexId":"70026370","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Edwards plateau: Analysis of land cover trends","docAbstract":"The Land Cover Trends project studies the rates, causes, and consequences of contemporary (1973-2000) change in land use and land cover in the United States on an ecoregional basis. The Edwards Plateau ecoregion is the focus of this report. Landsat imagery from five dates during a nearly 30-year period are interpreted for randomly selected sample blocks. The resulting data provide the foundation for estimating change. Along with the image analysis, site visits to 90% of the sampled areas, geographical profiles, and socioeconomic data for the ecoregion are synthesized to assess regional driving forces and consequences of change. Complete project methodology can be found in Loveland et al [1].","largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","conferenceTitle":"2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004","conferenceDate":"20 September 2004 through 24 September 2004","conferenceLocation":"Anchorage, AK","language":"English","usgsCitation":"Friesen, B., Hester, D., and Casey, K., 2004, Edwards plateau: Analysis of land cover trends, <i>in</i> International Geoscience and Remote Sensing Symposium (IGARSS), v. 4, Anchorage, AK, 20 September 2004 through 24 September 2004, p. 2639-2642.","startPage":"2639","endPage":"2642","numberOfPages":"4","costCenters":[],"links":[{"id":234331,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a05b0e4b0c8380cd50ee4","contributors":{"authors":[{"text":"Friesen, B.A.","contributorId":77713,"corporation":false,"usgs":true,"family":"Friesen","given":"B.A.","affiliations":[],"preferred":false,"id":409218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D.J.","contributorId":43145,"corporation":false,"usgs":true,"family":"Hester","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":409216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casey, K.A.","contributorId":66035,"corporation":false,"usgs":true,"family":"Casey","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":409217,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026546,"text":"70026546 - 2004 - Visual enhancement of unmixed multispectral imagery using adaptive smoothing","interactions":[],"lastModifiedDate":"2012-03-12T17:20:22","indexId":"70026546","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Visual enhancement of unmixed multispectral imagery using adaptive smoothing","docAbstract":"Adaptive smoothing (AS) has been previously proposed as a method to smooth uniform regions of an image, retain contrast edges, and enhance edge boundaries. The method is an implementation of the anisotropic diffusion process which results in a gray scale image. This paper discusses modifications to the AS method for application to multi-band data which results in a color segmented image. The process was used to visually enhance the three most distinct abundance fraction images produced by the Lagrange constraint neural network learning-based unmixing of Landsat 7 Enhanced Thematic Mapper Plus multispectral sensor data. A mutual information-based method was applied to select the three most distinct fraction images for subsequent visualization as a red, green, and blue composite. A reported image restoration technique (partial restoration) was applied to the multispectral data to reduce unmixing error, although evaluation of the performance of this technique was beyond the scope of this paper. The modified smoothing process resulted in a color segmented image with homogeneous regions separated by sharpened, coregistered multiband edges. There was improved class separation with the segmented image, which has importance to subsequent operations involving data classification.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Visual Information Processing XIII","conferenceDate":"15 April 2004 through 16 April 2004","conferenceLocation":"Orlando, FL","language":"English","doi":"10.1117/12.543109","issn":"0277786X","usgsCitation":"Lemeshewsky, G., 2004, Visual enhancement of unmixed multispectral imagery using adaptive smoothing, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 5438, Orlando, FL, 15 April 2004 through 16 April 2004, p. 252-262, https://doi.org/10.1117/12.543109.","startPage":"252","endPage":"262","numberOfPages":"11","costCenters":[],"links":[{"id":208498,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.543109"},{"id":234273,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5438","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc293e4b08c986b32ac1d","contributors":{"editors":[{"text":"Rahman, Z.-U.","contributorId":112042,"corporation":false,"usgs":true,"family":"Rahman","given":"Z.-U.","email":"","affiliations":[],"preferred":false,"id":508875,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Schowengerdt, R.A.","contributorId":83707,"corporation":false,"usgs":true,"family":"Schowengerdt","given":"R.A.","affiliations":[],"preferred":false,"id":508874,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Reichenbach, S.E.","contributorId":113015,"corporation":false,"usgs":true,"family":"Reichenbach","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":508876,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Lemeshewsky, G.P.","contributorId":106927,"corporation":false,"usgs":true,"family":"Lemeshewsky","given":"G.P.","affiliations":[],"preferred":false,"id":409968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70026378,"text":"70026378 - 2004 - Cross calibration of the Landsat-7 ETM+ and EO-1 ALI sensor","interactions":[],"lastModifiedDate":"2017-04-10T10:52:12","indexId":"70026378","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Cross calibration of the Landsat-7 ETM+ and EO-1 ALI sensor","docAbstract":"<p><span>As part of the Earth Observer 1 (EO-1) Mission, the Advanced Land Imager (ALI) demonstrates a potential technological direction for Landsat Data Continuity Missions. To evaluate ALI's capabilities in this role, a cross-calibration methodology has been developed using image pairs from the Landsat-7 (L7) Enhanced Thematic Mapper Plus (ETM+) and EO-1 (ALI) to verify the radiometric calibration of ALI with respect to the well-calibrated L7 ETM+ sensor. Results have been obtained using two different approaches. The first approach involves calibration of nearly simultaneous surface observations based on image statistics from areas observed simultaneously by the two sensors. The second approach uses vicarious calibration techniques to compare the predicted top-of-atmosphere radiance derived from ground reference data collected during the overpass to the measured radiance obtained from the sensor. The results indicate that the relative sensor chip assemblies gains agree with the ETM+ visible and near-infrared bands to within 2% and the shortwave infrared bands to within 4%.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2004.836387","issn":"01962892","usgsCitation":"Chander, G., Meyer, D.J., and Helder, D., 2004, Cross calibration of the Landsat-7 ETM+ and EO-1 ALI sensor: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 12, p. 2821-2831, https://doi.org/10.1109/TGRS.2004.836387.","productDescription":"11 p.","startPage":"2821","endPage":"2831","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":234474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208616,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2004.836387"}],"volume":"42","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcb8e4b0c8380cd4e3d7","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":409270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, D. J.","contributorId":46721,"corporation":false,"usgs":true,"family":"Meyer","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":409269,"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":409271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70027540,"text":"70027540 - 2004 - A geometric performance assessment of the EO-1 advanced land imager","interactions":[],"lastModifiedDate":"2017-04-10T10:57:51","indexId":"70027540","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A geometric performance assessment of the EO-1 advanced land imager","docAbstract":"The Earth Observing 1 (EO-1) Advanced Land Imager (ALI) demonstrates technology applicable to a successor system to the Landsat Thematic Mapper series. A study of the geometric performance characteristics of the ALI was conducted under the auspices of the EO-1 Science Validation Team. This study evaluated ALI performance with respect to absolute pointing knowledge, focal plane sensor chip assembly alignment, and band-to-band registration for purposes of comparing this new technology to the heritage Landsat systems. On-orbit geometric calibration procedures were developed that allowed the generation of ALI geometrically corrected products that compare favorably with their Landsat 7 counterparts with respect to absolute geodetic accuracy, internal image geometry, and band registration.","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2003.820603","issn":"01962892","usgsCitation":"Storey, J.C., Choate, M., and Meyer, D.J., 2004, A geometric performance assessment of the EO-1 advanced land imager: IEEE Transactions on Geoscience and Remote Sensing, v. 42, no. 3, p. 602-607, https://doi.org/10.1109/TGRS.2003.820603.","productDescription":"6 p.","startPage":"602","endPage":"607","numberOfPages":"6","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478116,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/tgrs.2003.820603","text":"Publisher Index Page"},{"id":238091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210974,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2003.820603"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e405e4b0c8380cd4635a","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":35505,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":414078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, M.J.","contributorId":41194,"corporation":false,"usgs":true,"family":"Choate","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":414079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, D. J.","contributorId":46721,"corporation":false,"usgs":true,"family":"Meyer","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":414080,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76977,"text":"ofr2003272 - 2003 - Using the Landsat 7 enhanced thematic mapper tasseled cap transformation to extract shoreline","interactions":[],"lastModifiedDate":"2012-04-15T17:28:15","indexId":"ofr2003272","displayToPublicDate":"2006-07-06T00:00:00","publicationYear":"2003","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":"2003-272","title":"Using the Landsat 7 enhanced thematic mapper tasseled cap transformation to extract shoreline","docAbstract":"A semiautomated method for objectively interpreting and extracting the land-water interface has been devised and used successfully to generate multiple shoreline data for the test States of Louisiana and Delaware. The method is based on the application of tasseled cap transformation coefficients derived by the EROS Data Center for Landsat 7 Enhanced Thematic Mapper Data, and is used in conjunction with ERDAS Imagine software. Shoreline data obtained using this method are cost effective compared with conventional mapping methods for State, regional, and national coastline applications. Attempts to attribute vector shoreline data with orthometric elevation values derived from tide observation stations, however, proved unsuccessful.","language":"ENGLISH","doi":"10.3133/ofr2003272","usgsCitation":"Scott, J., 2003, Using the Landsat 7 enhanced thematic mapper tasseled cap transformation to extract shoreline: U.S. Geological Survey Open-File Report 2003-272, 14 p., https://doi.org/10.3133/ofr2003272.","productDescription":"14 p.","numberOfPages":"14","onlineOnly":"Y","costCenters":[],"links":[{"id":190837,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8215,"rank":300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0272/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602e4d","contributors":{"authors":[{"text":"Scott, J.W. Jr.","contributorId":53044,"corporation":false,"usgs":true,"family":"Scott","given":"J.W.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":288247,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}