{"pageNumber":"44","pageRowStart":"1075","pageSize":"25","recordCount":1873,"records":[{"id":70031370,"text":"70031370 - 2007 - Cross-calibration of the Terra MODIS, Landsat 7 ETM+ and EO-1 ALI sensors using near-simultaneous surface observation over the Railroad Valley Playa, Nevada, test site","interactions":[],"lastModifiedDate":"2024-09-17T15:06:35.171594","indexId":"70031370","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cross-calibration of the Terra MODIS, Landsat 7 ETM+ and EO-1 ALI sensors using near-simultaneous surface observation over the Railroad Valley Playa, Nevada, test site","docAbstract":"A cross-calibration methodology has been developed using coincident image pairs from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS), the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Earth Observing EO-1 Advanced Land Imager (ALI) to verify the absolute radiometric calibration accuracy of these sensors with respect to each other. To quantify the effects due to different spectral responses, the Relative Spectral Responses (RSR) of these sensors were studied and compared by developing a set of \"figures-of-merit.\" Seven cloud-free scenes collected over the Railroad Valley Playa, Nevada (RVPN), test site were used to conduct the cross-calibration study. This cross-calibration approach was based on image statistics from near-simultaneous observations made by different satellite sensors. Homogeneous regions of interest (ROI) were selected in the image pairs, and the mean target statistics were converted to absolute units of at-sensor reflectance. Using these reflectances, a set of cross-calibration equations were developed giving a relative gain and bias between the sensor pair.","conferenceTitle":"Earth Observing Systems XII","conferenceDate":"August 26-28, 2007","conferenceLocation":"San Diego, CA","language":"English","doi":"10.1117/12.734292","issn":"0277786X","isbn":"9780819468253","usgsCitation":"Chander, G., Angal, A., Choi, T., Meyer, D.J., Xiong, X., and Teillet, P., 2007, Cross-calibration of the Terra MODIS, Landsat 7 ETM+ and EO-1 ALI sensors using near-simultaneous surface observation over the Railroad Valley Playa, Nevada, test site, Earth Observing Systems XII, v. 6677, San Diego, CA, August 26-28, 2007, 66770Y, 12 p., https://doi.org/10.1117/12.734292.","productDescription":"66770Y, 12 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":239786,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6677","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcc1e4b0c8380cd4e400","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":431230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":431231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choi, T.","contributorId":48698,"corporation":false,"usgs":true,"family":"Choi","given":"T.","affiliations":[],"preferred":false,"id":431229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, D. J.","contributorId":46721,"corporation":false,"usgs":true,"family":"Meyer","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":431228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":431227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teillet, P.M.","contributorId":23717,"corporation":false,"usgs":true,"family":"Teillet","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":431226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031338,"text":"70031338 - 2007 - Monitoring and modeling ice-rock avalanches from ice-capped volcanoes: A case study of frequent large avalanches on Iliamna Volcano, Alaska","interactions":[],"lastModifiedDate":"2012-03-12T17:21:14","indexId":"70031338","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and modeling ice-rock avalanches from ice-capped volcanoes: A case study of frequent large avalanches on Iliamna Volcano, Alaska","docAbstract":"Iliamna is an andesitic stratovolcano of the Aleutian arc with regular gas and steam emissions and mantled by several large glaciers. Iliamna Volcano exhibits an unusual combination of frequent and large ice-rock avalanches in the order of 1 ?? 106??m3 to 3 ?? 107??m3 with recent return periods of 2-4??years. We have reconstructed an avalanche event record for the past 45??years that indicates Iliamna avalanches occur at higher frequency at a given magnitude than other mass failures in volcanic and alpine environments. Iliamna Volcano is thus an ideal site to study such mass failures and its relation to volcanic activity. In this study, we present different methods that fit into a concept of (1) long-term monitoring, (2) early warning, and (3) event documentation and analysis of ice-rock avalanches on ice-capped active volcanoes. Long-term monitoring methods include seismic signal analysis, and space-and airborne observations. Landsat and ASTER satellite data was used to study the extent of hydrothermally altered rocks and surface thermal anomalies at the summit region of Iliamna. Subpixel heat source calculation for the summit regions where avalanches initiate yielded temperatures of 307 to 613??K assuming heat source areas of 1000 to 25??m2, respectively, indicating strong convective heat flux processes. Such heat flow causes ice melting conditions and is thus likely to reduce the strength at the base of the glacier. We furthermore demonstrate typical seismic records of Iliamna avalanches with rarely observed precursory signals up to two hours prior to failure, and show how such signals could be used for a multi-stage avalanche warning system in the future. For event analysis and documentation, space- and airborne observations and seismic records in combination with SRTM and ASTER derived terrain data allowed us to reconstruct avalanche dynamics and to identify remarkably similar failure and propagation mechanisms of Iliamna avalanches for the past 45??years. Simple avalanche flow modeling was able to reasonably replicate Iliamna avalanches and can thus be applied for hazard assessments. Hazards at Iliamna Volcano are low due to its remote location; however, we emphasize the transfer potential of the methods presented here to other ice-capped volcanoes with much higher hazards such as those in the Cascades or the Andes. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jvolgeores.2007.08.009","issn":"03770273","usgsCitation":"Huggel, C., Caplan-Auerbach, J., Waythomas, C.F., and Wessels, R., 2007, Monitoring and modeling ice-rock avalanches from ice-capped volcanoes: A case study of frequent large avalanches on Iliamna Volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 168, no. 1-4, p. 114-136, https://doi.org/10.1016/j.jvolgeores.2007.08.009.","startPage":"114","endPage":"136","numberOfPages":"23","costCenters":[],"links":[{"id":239784,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212318,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2007.08.009"}],"volume":"168","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d89e4b0c8380cd70439","contributors":{"authors":[{"text":"Huggel, C.","contributorId":89347,"corporation":false,"usgs":true,"family":"Huggel","given":"C.","email":"","affiliations":[],"preferred":false,"id":431108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caplan-Auerbach, J.","contributorId":7057,"corporation":false,"usgs":true,"family":"Caplan-Auerbach","given":"J.","email":"","affiliations":[],"preferred":false,"id":431106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waythomas, C. F.","contributorId":10065,"corporation":false,"usgs":true,"family":"Waythomas","given":"C.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":431107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wessels, R.L.","contributorId":108281,"corporation":false,"usgs":true,"family":"Wessels","given":"R.L.","affiliations":[],"preferred":false,"id":431109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70031249,"text":"70031249 - 2007 - An analysis of urban development and its environmental impact on the Tampa Bay watershed","interactions":[],"lastModifiedDate":"2017-04-12T15:59:17","indexId":"70031249","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of urban development and its environmental impact on the Tampa Bay watershed","docAbstract":"<p><span>Urbanization has transformed natural landscapes into anthropogenic impervious surfaces. Urban land use has become a major driving force for land cover and land use change in the Tampa Bay watershed of west-central Florida. This study investigates urban land use change and its impact on the watershed. The spatial and temporal changes, as well as the development density of urban land use are determined by analyzing the impervious surface distribution using Landsat satellite imagery. Population distribution and density are extracted from the 2000 census data. Non-point source pollution parameters used for measuring water quality are analyzed for the sub-drainage basins of Hillsborough County. The relationships between 2002 urban land use, population distribution and their environmental influences are explored using regression analysis against various non-point source pollutant loadings in these sub-drainage basins. The results suggest that strong associations existed between most pollutant loadings and the extent of impervious surface within each sub-drainage basin in 2002. Population density also exhibits apparent correlations with loading rates of several pollutants. Spatial variations of selected non-point source pollutant loadings are also assessed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2006.11.012","issn":"03014797","usgsCitation":"Xian, G., Crane, M., and Su, J., 2007, An analysis of urban development and its environmental impact on the Tampa Bay watershed: Journal of Environmental Management, v. 85, no. 4, p. 965-976, https://doi.org/10.1016/j.jenvman.2006.11.012.","productDescription":"12 p.","startPage":"965","endPage":"976","numberOfPages":"12","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":238686,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211403,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2006.11.012"}],"volume":"85","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f7e4b0c8380cd4855e","contributors":{"authors":[{"text":"Xian, G. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":65656,"corporation":false,"usgs":true,"family":"Xian","given":"G.","affiliations":[],"preferred":false,"id":430722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crane, M.","contributorId":86957,"corporation":false,"usgs":true,"family":"Crane","given":"M.","email":"","affiliations":[],"preferred":false,"id":430723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Su, J.","contributorId":39187,"corporation":false,"usgs":true,"family":"Su","given":"J.","email":"","affiliations":[],"preferred":false,"id":430721,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031245,"text":"70031245 - 2007 - A multi-scale segmentation approach to filling gaps in Landsat ETM+ SLC-off images","interactions":[],"lastModifiedDate":"2018-02-21T15:48:00","indexId":"70031245","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A multi-scale segmentation approach to filling gaps in Landsat ETM+ SLC-off images","docAbstract":"On 31 May 2003, the Landsat Enhanced Thematic Plus (ETM+) Scan Line Corrector (SLC) failed, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. We developed a method that uses coincident spectral data to fill the image gaps. This method uses a multi-scale segment model, derived from a previous Landsat SLC-on image (image acquired prior to the SLC failure), to guide the spectral interpolation across the gaps in SLC-off images (images acquired after the SLC failure). This paper describes the process used to generate the segment model, provides details of the gap-fill algorithm used in deriving the segment-based gap-fill product, and presents the results of the gap-fill process applied to grassland, cropland, and forest landscapes. Our results indicate this product will be useful for a wide variety of applications, including regional-scale studies, general land cover mapping (e.g. forest, urban, and grass), crop-specific mapping and monitoring, and visual assessments. Applications that need to be cautious when using pixels in the gap areas include any applications that require per-pixel accuracy, such as urban characterization or impervious surface mapping, applications that use texture to characterize landscape features, and applications that require accurate measurements of small or narrow landscape features such as roads, farmsteads, and riparian areas.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160601034902","issn":"01431161","usgsCitation":"Maxwell, S., Schmidt, G.L., and Storey, J.C., 2007, A multi-scale segmentation approach to filling gaps in Landsat ETM+ SLC-off images: International Journal of Remote Sensing, v. 28, no. 23, p. 5339-5356, https://doi.org/10.1080/01431160601034902.","productDescription":"18 p.","startPage":"5339","endPage":"5356","numberOfPages":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":238656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211376,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160601034902"}],"volume":"28","issue":"23","noUsgsAuthors":false,"publicationDate":"2007-11-20","publicationStatus":"PW","scienceBaseUri":"5059e48be4b0c8380cd466eb","contributors":{"authors":[{"text":"Maxwell, S.K.","contributorId":36665,"corporation":false,"usgs":true,"family":"Maxwell","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":430704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":430705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":430703,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031107,"text":"70031107 - 2007 - Revised landsat-5 thematic mapper radiometric calibration","interactions":[],"lastModifiedDate":"2017-04-14T13:23:14","indexId":"70031107","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1940,"text":"IEEE Geoscience and Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Revised landsat-5 thematic mapper radiometric calibration","docAbstract":"<p><span>Effective April 2, 2007, the radiometric calibration of Landsat-5 (L5) Thematic Mapper (TM) data that are processed and distributed by the U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS) will be updated. The lifetime gain model that was implemented on May 5, 2003, for the reflective bands (1-5, 7) will be replaced by a new lifetime radiometric-calibration curve that is derived from the instrument's response to pseudoinvariant desert sites and from cross calibration with the Landsat-7 (L7) Enhanced TM Plus (ETM+). Although this calibration update applies to all archived and future L5 TM data, the principal improvements in the calibration are for the data acquired during the first eight years of the mission (1984-1991), where the changes in the instrument-gain values are as much as 15%. The radiometric scaling coefficients for bands 1 and 2 for approximately the first eight years of the mission have also been changed. Users will need to apply these new coefficients to convert the calibrated data product digital numbers to radiance. The scaling coefficients for the other bands have not changed.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/LGRS.2007.898285","issn":"1545598X","usgsCitation":"Chander, G., Markham, B.L., and Barsi, J., 2007, Revised landsat-5 thematic mapper radiometric calibration: IEEE Geoscience and Remote Sensing Letters, v. 4, no. 3, p. 490-494, https://doi.org/10.1109/LGRS.2007.898285.","productDescription":"5 p.","startPage":"490","endPage":"494","numberOfPages":"5","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":238875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211568,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/LGRS.2007.898285"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aacc4e4b0c8380cd86dc5","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":430063,"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":430064,"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":430062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030989,"text":"70030989 - 2007 - Methods to assess natural and anthropogenic thaw lake drainage on the western Arctic coastal plain of northern Alaska","interactions":[],"lastModifiedDate":"2018-06-16T18:02:53","indexId":"70030989","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Methods to assess natural and anthropogenic thaw lake drainage on the western Arctic coastal plain of northern Alaska","docAbstract":"<p><span>Thousands of lakes are found on the Arctic Coastal Plain of northern Alaska and northwestern Canada. Developed atop continuous permafrost, these thaw lakes and associated drained thaw lake basins are the dominant landscape elements and together cover 46% of the 34,570 km</span><span>2</span><span>western Arctic Coastal Plain (WACP). Lakes drain by a variety of episodic processes, including coastal erosion, stream meandering, and headward erosion, bank overtopping, and lake coalescence. Comparison of Landsat multispectral scanner (MSS) imagery from the mid-1970s to Landsat 7 enhanced thematic mapper (ETM+) imagery from around 2000 shows that 50 lakes completely or partially drained over the approximately 25 year period, indicating landscape stability. The lake-specific drainage mechanism can be inferred in some cases and is partially dependant on geographic settings conducive to active erosion such as riparian and coastal zones. In many cases, however, the cause of drainage is unknown. The availability of high-resolution aerial photographs for the Barrow Peninsula extends the record back to circa 1950; mapping spatial time series illustrates the dynamic nature of lake expansion, coalescence, and drainage. Analysis of these historical images suggests that humans have intentionally or inadvertently triggered lake drainage near the village of Barrow. Efforts to understand landscape processes and identify events have been enhanced by interviewing I&ntilde;upiaq elders and others practicing traditional subsistence lifestyles. They can often identify the year and process by which individual lakes drained, thereby providing greater dating precision and accuracy in assessing the causal mechanism. Indigenous knowledge has provided insights into events, landforms, and processes not previously identified or considered.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1029/2006JF000584","issn":"01480227","usgsCitation":"Hinkel, K.M., Jones, B.M., Eisner, W.R., Cuomo, C., Beck, R., and Frohn, R., 2007, Methods to assess natural and anthropogenic thaw lake drainage on the western Arctic coastal plain of northern Alaska: Journal of Geophysical Research F: Earth Surface, v. 112, no. 2, F02S16: 9 p., https://doi.org/10.1029/2006JF000584.","productDescription":"F02S16: 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":239040,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211698,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006JF000584"}],"volume":"112","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-03-21","publicationStatus":"PW","scienceBaseUri":"505a560be4b0c8380cd6d32c","contributors":{"authors":[{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":429525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":429528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisner, Wendy R.","contributorId":35497,"corporation":false,"usgs":true,"family":"Eisner","given":"Wendy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":429526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cuomo, Chris J.","contributorId":57658,"corporation":false,"usgs":true,"family":"Cuomo","given":"Chris J.","affiliations":[],"preferred":false,"id":429529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beck, R.A.","contributorId":44246,"corporation":false,"usgs":true,"family":"Beck","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":429527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frohn, R.","contributorId":101078,"corporation":false,"usgs":true,"family":"Frohn","given":"R.","email":"","affiliations":[],"preferred":false,"id":429530,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":76183,"text":"ofr20051122 - 2007 - Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ofr20051122","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1122","title":"Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan","docAbstract":"By selecting one of the four series options shown below, namely, -A, -B, -C, and -D for the geologic, topographic, Landsat natural-color, and Landsat false-color maps, respectively, the user will be taken to that map.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051122","collaboration":"Prepared in cooperation with the Afghan Geological Survey and the Afghanistan Geodesy and Cartography Head Office under the auspices of the U.S. Agency for International Development and the U.S. Trade and Development Agency","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan: U.S. Geological Survey Open-File Report 2005-1122, 4 Maps: Varied Sizes, https://doi.org/10.3133/ofr20051122.","productDescription":"4 Maps: Varied Sizes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1122/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 62,29.25 ], [ 62,31 ], [ 64,31 ], [ 64,29.25 ], [ 62,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc2db","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76193,"text":"ofr20051121 - 2007 - Maps of Quadrangles 3060 and 2960, Qala-I-Fath (608), Malek-Sayh-Koh (613), and Gozar-E-Sah (614) Quadrangles, Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ofr20051121","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1121","title":"Maps of Quadrangles 3060 and 2960, Qala-I-Fath (608), Malek-Sayh-Koh (613), and Gozar-E-Sah (614) Quadrangles, Afghanistan","docAbstract":"By selecting one of the four series options shown below, namely, -A, -B, -C, and -D for the geologic, topographic, Landsat natural-color, and Landsat false-color maps, respectively, the user will be taken to that map.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051121","collaboration":"Prepared in cooperation with the Afghan Geological Survey and the Afghanistan Geodesy and Cartography Head Office under the auspices of the U.S. Agency for International Development and the U.S. Trade and Development Agency","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Maps of Quadrangles 3060 and 2960, Qala-I-Fath (608), Malek-Sayh-Koh (613), and Gozar-E-Sah (614) Quadrangles, Afghanistan: U.S. Geological Survey Open-File Report 2005-1121, 4 Maps: Varied Sizes, https://doi.org/10.3133/ofr20051121.","productDescription":"4 Maps: Varied Sizes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10413,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1121/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.5,29.5 ], [ 60.5,31 ], [ 62,31 ], [ 62,29.5 ], [ 60.5,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc256","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534776,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273212,"text":"70273212 - 2006 - Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico","interactions":[],"lastModifiedDate":"2025-12-19T15:49:36.177108","indexId":"70273212","displayToPublicDate":"2025-09-19T09:32:51","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Buffelgrass (<i>Pennisetum ciliare</i>) land conversion and productivity in the plains of Sonora, Mexico","title":"Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico","docAbstract":"<p><span>Bufflelgrass (</span><i>Pennisetum ciliare</i><span>&nbsp;syn.&nbsp;</span><i>Cenchrus ciliaris</i><span>) is an African grass that has been widely introduced in subtropical arid regions of the world to improve rangelands for cattle production. However, it can have a negative effect on the diversity of native plant communities. Buffelgrass was introduced to Sonora, Mexico in the 1970s as a means to bolster the cattle industry. “Desmonte,” the process by which native desert vegetation is removed in preparation for buffelgrass seeding, alters the land surface such that buffelgrass plots are easily detectable from aerial and Landsat satellite images. We estimated the extent of conversion to buffelgrass in a 1,850,000</span><span>&nbsp;</span><span>ha area centered on Hermosillo, from MSS and TM images from 1973, 1983, 1990 and 2000. We then compared the relative above-ground productivity of buffelgrass to native vegetation using Normalized Difference Vegetation Index values (NDVI) from Landsat and Moderate Resolution Imaging Spectrometer (MODIS) satellite sensor systems. Buffelgrass pastures have increased from just 7700</span><span>&nbsp;</span><span>ha in 1973 to over 140,000</span><span>&nbsp;</span><span>ha in 2000. Buffelgrass pastures now cover 8% of the land surface in the study area. Buffelgrass pastures have lower net primary productivity, estimated by MODIS NDVI values, than unconverted desert land. The desmonte process removes trees and shrubs, while the buffelgrass plantings are often sparse, leading to an apparent net loss in net primary production from land conversion. We recommend that the desmonte process be discontinued until its efficacy and safety for native ecosystems can be established, and that a comprehensive plan for preserving biodiversity while accomodating economic development be established for this region of the Sonoran Desert in Mexico.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2005.07.018","usgsCitation":"Franklin, K.A., Lyons, K., Nagler, P.L., Lampkin, D., Glenn, E.P., Molina-Freaner, F., Markow, T., and Huete, A.R., 2006, Buffelgrass (Pennisetum ciliare) land conversion and productivity in the plains of Sonora, Mexico: Biological Conservation, v. 127, no. 1, p. 62-71, https://doi.org/10.1016/j.biocon.2005.07.018.","productDescription":"10 p.","startPage":"62","endPage":"71","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Sonora","otherGeospatial":"Plains of Sonora","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.34259567104225,\n              30.555012631219427\n            ],\n            [\n              -112.81806608880689,\n              29.880271513235172\n            ],\n            [\n              -110.41803141575451,\n              27.204194529819702\n            ],\n            [\n              -109.20603785830497,\n              28.13332597337235\n            ],\n            [\n              -111.34259567104225,\n              30.555012631219427\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2005-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Franklin, Kim A.","contributorId":279983,"corporation":false,"usgs":false,"family":"Franklin","given":"Kim","email":"","middleInitial":"A.","affiliations":[{"id":57402,"text":"Arizona-Sonora Desert Museum","active":true,"usgs":false}],"preferred":false,"id":952716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, Kelly","contributorId":364475,"corporation":false,"usgs":false,"family":"Lyons","given":"Kelly","affiliations":[],"preferred":false,"id":952717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampkin, Derrick","contributorId":364476,"corporation":false,"usgs":false,"family":"Lampkin","given":"Derrick","affiliations":[],"preferred":false,"id":952719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":952720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Molina-Freaner, Francisco","contributorId":364477,"corporation":false,"usgs":false,"family":"Molina-Freaner","given":"Francisco","affiliations":[],"preferred":false,"id":952721,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markow, Therese","contributorId":364478,"corporation":false,"usgs":false,"family":"Markow","given":"Therese","affiliations":[],"preferred":false,"id":952722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huete, Alfredo R","contributorId":243589,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","middleInitial":"R","affiliations":[{"id":48742,"text":"School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia","active":true,"usgs":false}],"preferred":false,"id":952723,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":80127,"text":"fs20063020 - 2006 - Land Cover Trends Project","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"fs20063020","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-3020","title":"Land Cover Trends Project","docAbstract":"The Land Cover Trends Project is designed to document the types, rates, causes, and consequences of land cover change from 1973 to 2000 within each of the 84 U.S. Environmental Protection Agency (EPA) Level III ecoregions that span the conterminous United States. The project's objectives are to:\r\n* Develop a comprehensive methodology using probability sampling and change analysis techniques and Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper (ETM) data for estimating regional land cover change.\r\n* Characterize the spatial and temporal characteristics of conterminous U.S. land cover change for five periods from 1973 to 2000 (nominally 1973, 1980, 1986, 1992, and 2000).\r\n* Document the regional driving forces and consequences of change.\r\n* Prepare a national synthesis of land cover change.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063020","usgsCitation":"Acevedo, W., 2006, Land Cover Trends Project: U.S. Geological Survey Fact Sheet 2006-3020, 1 p., https://doi.org/10.3133/fs20063020.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3020/report-thumb.jpg"},{"id":91228,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3020/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aec07","contributors":{"authors":[{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":291789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79476,"text":"ds221 - 2006 - Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001","interactions":[],"lastModifiedDate":"2012-02-02T00:14:09","indexId":"ds221","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"221","title":"Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001","docAbstract":"This report describes the processing and results of land-cover and impervious surface derivation for parts of three metropolitan areas being studied as part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment (NAWQA) Program Effects of Urbanization on Stream Ecosystems (EUSE). The data were derived primarily from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery from the period 1999-2002, and are provided as 30-meter resolution raster datasets. Data were produced to a standard consistent with data being produced as part of the USGS National Land Cover Database 2001 (NLCD01) Program, and were derived in cooperation with, and assistance from, NLCD01 personnel. The data were intended as surrogates for NLCD01 data because of the EUSE Program's time-critical need for updated land-cover for parts of the United States that would not be available in time from the NLCD01 Program. Six datasets are described in this report: separate land-cover (15-class categorical data) and imperviousness (0-100 percent continuous data) raster datasets for parts of the general Denver, Colorado area (South Platte River Basin), Dallas-Fort Worth, Texas area (Trinity River Basin), and Milwaukee-Green Bay, Wisconsin area (Western Lake Michigan Drainages).","language":"ENGLISH","doi":"10.3133/ds221","usgsCitation":"Falcone, J.A., and Pearson, D., 2006, Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001: U.S. Geological Survey Data Series 221, vi, 17 p.; data files, https://doi.org/10.3133/ds221.","productDescription":"vi, 17 p.; data files","numberOfPages":"23","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":192510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9020,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/221/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf44","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":290005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Daniel K. dpearson@usgs.gov","contributorId":1525,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","email":"dpearson@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":290006,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79427,"text":"ofr20061345 - 2006 - Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20061345","displayToPublicDate":"2006-12-03T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1345","title":"Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan","docAbstract":"In 2005, the U.S. Agency for International Development and the U.S. Trade and Development Agency contracted with the U.S. Geological Survey to perform assessments of the natural resources within Afghanistan. The assessments concentrate on the resources that are related to the economic development of that country. Therefore, assessments were initiated in oil and gas, coal, mineral resources, water resources, and earthquake hazards. All of these assessments require geologic, structural, and topographic information throughout the country at a finer scale and better accuracy than that provided by the existing maps, which were published in the 1970s by the Russians and Germans. The very rugged terrain in Afghanistan, the large scale of these assessments, and the terrorist threat in Afghanistan indicated that the best approach to provide the preliminary assessments was to use remotely sensed, satellite image data, although this may also apply to subsequent phases of the assessments. Therefore, the first step in the assessment process was to produce satellite image mosaics of Afghanistan that would be useful for these assessments. This report discusses the production and characteristics of the fundamental satellite image databases produced for these assessments, which are calibrated image mosaics of all six Landsat nonthermal (reflected) bands. ","language":"ENGLISH","doi":"10.3133/ofr20061345","usgsCitation":"Davis, P.A., 2006, Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan (Version 1.0): U.S. Geological Survey Open-File Report 2006-1345, 18 p., https://doi.org/10.3133/ofr20061345.","productDescription":"18 p.","numberOfPages":"18","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":192385,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8933,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1345/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29 ], [ 60,39 ], [ 75,39 ], [ 75,29 ], [ 60,29 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e712a","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289876,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259124,"text":"70259124 - 2006 - Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery","interactions":[],"lastModifiedDate":"2024-09-27T15:36:41.530807","indexId":"70259124","displayToPublicDate":"2006-12-01T10:25:15","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery","docAbstract":"<p>Urban development has expanded rapidly in Las Vegas, Nevada, over the last fifty years. To assess urban land use change in the area, a sub-pixel change detection approach has been used to map urban extent and its temporal changes by determining sub-pixel level impervious surface areas from Landsat satellite remote sensing data in conjunction with digital orthophotography. Sub-pixel percentages of imperviousness are mapped from the 1980s to the 2000s for the Las Vegas metropolitan area using a regression tree model. The spatial-temporal distribution of vegetation in the urban area has also been quantified using the same approach. Analysis suggests that spatial and temporal changes in impervious surface are useful indicators of spatial extent, intensity, and potentially, the types of urban land cover and land use change. Results indicate that areas of 40–60% imperviousness have experienced the largest increase in Las Vegas, suggesting that areas of medium to high development density areas represent the major urban land uses in the region. Urban area fractional vegetation cover has the highest coverage in medium-density urban areas of Las Vegas. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Prospecting for geospatial information integration","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ASPRS 2006 Annual Conference","conferenceDate":"May 1-5, 2006","conferenceLocation":"Reno, NV","language":"English","publisher":"ASPRS","usgsCitation":"Xian, G.Z., Crane, M., and McMahon, C., 2006, Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery, <i>in</i> Prospecting for geospatial information integration, Reno, NV, May 1-5, 2006, 10 p.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.54626991302445,\n              36.44889040820341\n            ],\n            [\n              -115.54626991302445,\n              35.8352044368426\n            ],\n            [\n              -114.75273105660025,\n              35.8352044368426\n            ],\n            [\n              -114.75273105660025,\n              36.44889040820341\n            ],\n            [\n              -115.54626991302445,\n              36.44889040820341\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crane, Mike","contributorId":99824,"corporation":false,"usgs":true,"family":"Crane","given":"Mike","email":"","affiliations":[],"preferred":false,"id":914254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, C.","contributorId":59308,"corporation":false,"usgs":true,"family":"McMahon","given":"C.","email":"","affiliations":[],"preferred":false,"id":914255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79411,"text":"sir20065288 - 2006 - Land-Cover Trends of the Central Basin and Range Ecoregion","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"sir20065288","displayToPublicDate":"2006-11-21T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5288","title":"Land-Cover Trends of the Central Basin and Range Ecoregion","docAbstract":"The U.S. Geological Survey (USGS) Land Cover Trends research project is focused on understanding the amounts, rates, trends, causes, and implications of contemporary land-use and land-cover (LU/LC) change in the United States. This project is supported by the USGS Geographic Analysis and Monitoring Program in collaboration with the U.S. Environmental Protection Agency (EPA) and the National Aeronautics and Space Administration (NASA). \r\n\r\nLU/LC change is a pervasive process that modifies landscape characteristics and affects a broad range of socioeconomic, biologic, and hydrologic systems. Understanding the impacts and feedbacks of LU/LC change on environmental systems requires an understanding of the rates, patterns, and driving forces of past, present, and future LU/LC change. The objectives of the Land Cover Trends project are to (1) determine and describe the amount, rates, and trends of contemporary LU/LC change by ecoregion for the period 1973-2000 for the conterminous United States, (2) document the causes, driving forces, and implications of change, and (3) synthesize individual ecoregion results into a national assessment of LU/LC change. \r\n\r\nThe Land Cover Trends research team includes staff from the USGS National Center for Earth Resources Observation and Science (EROS), Rocky Mountain Geographic Science Center, Eastern Geographic Science Center, Mid-Continent Geographic Science Center, and the Western Geographic Science Center. Other partners include researchers at South Dakota State University, University of Southern Mississippi, and State University of New York College of Environmental Science and Forestry. \r\n\r\nThis report presents an assessment of LU/LC change in the Central Basin and Range ecoregion for the period 1973-2000. The Central Basin and Range ecoregion is one of 84 Level-III ecoregions as defined by the Environmental Protection Agency. Ecoregions have served as a spatial framework for environmental resource management and to denote areas that contain a geographically distinct assemblage of biotic and abiotic phenomena including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The established Land Cover Trends methodology generates estimates of LU/LC change using a probability sampling approach and change-detection analysis of thematic land-cover images derived from Landsat satellite imagery.\r\n","language":"ENGLISH","doi":"10.3133/sir20065288","usgsCitation":"Soulard, C.E., 2006, Land-Cover Trends of the Central Basin and Range Ecoregion: U.S. Geological Survey Scientific Investigations Report 2006-5288, iii, 20 p.; 10 figs.; 4 tables, https://doi.org/10.3133/sir20065288.","productDescription":"iii, 20 p.; 10 figs.; 4 tables","numberOfPages":"23","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":194758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8922,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5288/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,35 ], [ -121,45 ], [ -112,45 ], [ -112,35 ], [ -121,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf4b","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":289834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79212,"text":"sir20065218 - 2006 - Interferograms showing land subsidence and uplift in Las Vegas Valley, Nevada, 1992-99","interactions":[],"lastModifiedDate":"2012-02-02T00:13:55","indexId":"sir20065218","displayToPublicDate":"2006-10-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5218","title":"Interferograms showing land subsidence and uplift in Las Vegas Valley, Nevada, 1992-99","docAbstract":"The U.S. Geological Survey, in cooperation with the Nevada Department of Conservation and Natural Resources-Division of Water Resources and the Las Vegas Valley Water District, compiled 44 individual interferograms and 1 stacked interferogram comprising 29 satellite synthetic aperture radar acquisitions of Las Vegas Valley, Nevada, from 1992 to 1999. The interferograms, which depict short-term, seasonal, and long-term trends in land subsidence and uplift, are viewable with an interactive map. The interferograms show that land subsidence and uplift generally occur in localized areas, are responsive to ground-water pumpage and artificial recharge, and, in part, are fault controlled. Information from these interferograms can be used by water and land managers to mitigate land subsidence and associated damage.\r\n\r\nLand subsidence attributed to ground-water pumpage has been documented in Las Vegas Valley since the 1940s. Damage to roads, buildings, and other engineered structures has been associated with this land subsidence. Land uplift attributed to artificial recharge and reduced pumping has been documented since the 1990s. Measuring these land-surface changes with traditional benchmark and Global Positioning System surveys can be costly and time consuming, and results typically are spatially and temporally sparse. Interferograms are relatively inexpensive and provide temporal and spatial resolutions previously not achievable.\r\n\r\nThe interferograms are viewable with an interactive map. Landsat images from 1993 and 2000 are viewable for frames of reference to locate areas of interest and help determine land use. A stacked interferogram for 1992-99 is viewable to visualize the cumulative vertical displacement for the period represented by the individual interferograms. The interactive map enables users to identify and estimate the magnitude of vertical displacement, visually analyze deformation trends, and view interferograms and Landsat images side by side. The interferograms and Landsat images are available for download, in formats for use with Geographic Information System software.","language":"ENGLISH","doi":"10.3133/sir20065218","usgsCitation":"Pavelko, M.T., Hoffmann, J., and Damar, N.A., 2006, Interferograms showing land subsidence and uplift in Las Vegas Valley, Nevada, 1992-99: U.S. Geological Survey Scientific Investigations Report 2006-5218, 25 p., https://doi.org/10.3133/sir20065218.","productDescription":"25 p.","numberOfPages":"25","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"1999-12-31","costCenters":[],"links":[{"id":191377,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8665,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5218/","linkFileType":{"id":5,"text":"html"}},{"id":8666,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2006/5218/Data/insar_metadata.xml"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d4a9","contributors":{"authors":[{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffmann, Jorn","contributorId":15693,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":289376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046981,"text":"70046981 - 2006 - Historical record of Landsat global coverage","interactions":[],"lastModifiedDate":"2017-04-11T15:49:02","indexId":"70046981","displayToPublicDate":"2006-10-01T13:43:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Historical record of Landsat global coverage","docAbstract":"<p>The long-term, 34+ year record of global Landsat remote sensing data is a critical resource to study the Earth system and human impacts on this system. The National Satellite Land Remote Sensing Data Archive (NSLRSDA) is charged by public law to: “maintain a permanent, comprehensive Government archive of global Landsat and other land remote sensing data for long-term monitoring and study of the changing global environment” (U.S. Congress, 1992). The advisory committee for NSLRSDA requested a detailed analysis of observation coverage within the U.S. Landsat holdings, as well as that acquired and held by International Cooperator (IC) stations. Our analyses, to date, have found gaps of varying magnitude in U.S. holdings of Landsat global coverage data, which appear to reflect technical or administrative variations in mission operations. In many cases it may be possible to partially fill these gaps in U.S. holdings through observations that were acquired and are now being held at International Cooperator stations.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.72.10.1155","usgsCitation":"Goward, S., Arvidson, T., Williams, D., Faundeen, J., Irons, J., and Franks, S., 2006, Historical record of Landsat global coverage: Photogrammetric Engineering and Remote Sensing, v. 72, no. 10, p. 1155-1169, https://doi.org/10.14358/PERS.72.10.1155.","productDescription":"15 p.","startPage":"1155","endPage":"1169","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":477311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.72.10.1155","text":"Publisher Index Page"},{"id":274882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfd3e4e4b0d332bf22f398","contributors":{"authors":[{"text":"Goward, Samuel","contributorId":97404,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","affiliations":[],"preferred":false,"id":480795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, Terry","contributorId":97801,"corporation":false,"usgs":true,"family":"Arvidson","given":"Terry","email":"","affiliations":[],"preferred":false,"id":480796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Darrel","contributorId":74655,"corporation":false,"usgs":true,"family":"Williams","given":"Darrel","affiliations":[],"preferred":false,"id":480793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faundeen, John 0000-0003-0287-2921","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":33605,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","affiliations":[],"preferred":false,"id":480791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irons, James","contributorId":52066,"corporation":false,"usgs":true,"family":"Irons","given":"James","affiliations":[],"preferred":false,"id":480792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Franks, Shannon 0000-0003-1335-5401","orcid":"https://orcid.org/0000-0003-1335-5401","contributorId":93362,"corporation":false,"usgs":true,"family":"Franks","given":"Shannon","affiliations":[],"preferred":false,"id":480794,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70157059,"text":"70157059 - 2006 - Landsat-7 long-term acquisition plan radiometry - evolution over time","interactions":[],"lastModifiedDate":"2015-09-03T12:11:01","indexId":"70157059","displayToPublicDate":"2006-10-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-7 long-term acquisition plan radiometry - evolution over time","docAbstract":"<p>The Landsat-7 Enhanced Thematic Mapper Plus instrument has two selectable gains for each spectral band. In the acquisition plan, the gains were initially set to maximize the entropy in each scene. One unintended consequence of this strategy was that, at times, dense vegetation saturated band 4 and deserts saturated all bands. A revised strategy, based on a land-cover classification and sun angle thresholds, reduced saturation, but resulted in gain changes occurring within the same scene on multiple overpasses. As the gain changes cause some loss of data and difficulties for some ground processing systems, a procedure was devised to shift the gain changes to the nearest predicted cloudy scenes. The results are still not totally satisfactory as gain changes still impact some scenes and saturation still occurs, particularly in ephemerally snow-covered regions. A primary conclusion of our experience with variable gain on Landsat-7 is that such an approach should not be employed on future global monitoring missions.</p>","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.72.10.1129","usgsCitation":"Markham, B.L., Goward, S., Arvidson, T., Barsi, J.A., and Scaramuzza, P., 2006, Landsat-7 long-term acquisition plan radiometry - evolution over time: Photogrammetric Engineering and Remote Sensing, v. 72, no. 10, p. 1129-1135, https://doi.org/10.14358/PERS.72.10.1129.","productDescription":"7 p.","startPage":"1129","endPage":"1135","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":477312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.72.10.1129","text":"Publisher Index Page"},{"id":307916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e96f3ce4b0dacf699e788a","contributors":{"authors":[{"text":"Markham, Brian L. 0000-0002-9612-8169","orcid":"https://orcid.org/0000-0002-9612-8169","contributorId":121488,"corporation":false,"usgs":true,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":571381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goward, Samuel","contributorId":97404,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","affiliations":[],"preferred":false,"id":571382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Terry","contributorId":97801,"corporation":false,"usgs":true,"family":"Arvidson","given":"Terry","email":"","affiliations":[],"preferred":false,"id":571383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":571384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":571385,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258652,"text":"70258652 - 2006 - Stability of Landsat-4 thematic mapper outgassing models","interactions":[],"lastModifiedDate":"2024-09-19T16:45:13.759759","indexId":"70258652","displayToPublicDate":"2006-09-08T11:41:12","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stability of Landsat-4 thematic mapper outgassing models","docAbstract":"<p><span>Oscillations in radiometric gains of the short wave infrared (SWIR) bands in Landsat-4 (L4) and Landsat-5 (L5) Thematic Mappers (TMs) are observed through an analysis of detector responses to the Internal Calibrator (IC) pulses. The oscillations are believed to be caused by an interference effect due to a contaminant film buildup on the window of the cryogenically cooled dewar that houses these detectors. This process of contamination, referred to as outgassing effects, has been well characterized using an optical thin-film model that relates detector responses to the accumulated film thickness and its growth rate. The current models for L4 TM are based on average detector responses to the second brightest IC lamp and have been derived from three data sets acquired during different times throughout the instrument's lifetime. Unlike in L5 TM outgassing characterization, it was found that the L4 TM responses to all three IC lamps can be used to provide accurate characterization and correction for outgassing effects. The analysis of single detector responses revealed an up to five percent difference in the estimated oscillating periods and also indicated a gradual variation of contaminant growth rate over the focal plane.</span></p>","conferenceTitle":"SPIE Optics + Photonics, 2006: Earth Observing Systems XI","conferenceDate":"August 13-17, 2006","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.683264","usgsCitation":"Micijevic, E., and Chander, G., 2006, Stability of Landsat-4 thematic mapper outgassing models, SPIE Optics + Photonics, 2006: Earth Observing Systems XI, v. 6296, San Diego, CA, August 13-17, 2006, 62960E, 11 p., https://doi.org/10.1117/12.683264.","productDescription":"62960E, 11 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":439158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6296","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":913559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":913560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":77012,"text":"sir20065098 - 2006 - Land-cover trends in the Mojave basin and range ecoregion","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"sir20065098","displayToPublicDate":"2006-07-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5098","title":"Land-cover trends in the Mojave basin and range ecoregion","docAbstract":"The U.S. Geological Survey's Land-Cover Trends Project aims to estimate the rates of contemporary land-cover change within the conterminous United States between 1972 and 2000. A random sampling approach was used to select a representative sample of 10-km by 10-km sample blocks and to estimate change within +/- 1 percent at an 85-percent confidence interval. Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper Plus data were used, and each 60-m pixel was assigned to one of 11 distinct land-cover classes based upon a modified Anderson classification system. Upon completion of land-cover change mapping for five dates, land-cover change statistics were generated and analyzed. This paper presents estimates for the Mojave Basin and Range ecoregion located in the southwestern United States. Our research suggests land-cover change within the Mojave to be relatively rare and highly localized. The primary shift in land cover is unidirectional, with natural desert grass/shrubland being converted to development. We estimate that more than 1,300 km2 have been converted since 1973 and that the conversion is being largely driven by economic and recreational opportunities provided by the Mojave ecoregion. The time interval with the highest rate of change was 1986 to 1992, in which the rate was 0.21 percent (321.9 km2) per year total change.","language":"ENGLISH","doi":"10.3133/sir20065098","usgsCitation":"Sleeter, B.M., and Raumann, C.G., 2006, Land-cover trends in the Mojave basin and range ecoregion: U.S. Geological Survey Scientific Investigations Report 2006-5098, iii, 15 p., https://doi.org/10.3133/sir20065098.","productDescription":"iii, 15 p.","numberOfPages":"18","onlineOnly":"Y","costCenters":[{"id":295,"text":"Geography National Land-cover Trends Project","active":false,"usgs":true}],"links":[{"id":194727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8151,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5098/","linkFileType":{"id":5,"text":"html"}}],"scale":"0","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.75 ], [ -118.5,38 ], [ -113,38 ], [ -113,33.75 ], [ -118.5,33.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adee8","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":288292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raumann, Christian G.","contributorId":65893,"corporation":false,"usgs":true,"family":"Raumann","given":"Christian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":288293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178398,"text":"70178398 - 2006 - Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala","interactions":[],"lastModifiedDate":"2016-11-16T13:12:58","indexId":"70178398","displayToPublicDate":"2006-05-26T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala","docAbstract":"<p id=\"p-1\">Persistent lava extrusion at the Santiaguito dome complex (Guatemala) results in continuous lahar activity and river bed aggradation downstream of the volcano. We present a simple method that uses vegetation indices extracted from Landsat Thematic Mapper (TM) data to map impacted zones. Application of this technique to a time series of 21 TM images acquired between 1987 and 2000 allow us to map, measure, and track temporal and spatial variations in the area of lahar impact and river aggradation.</p><p id=\"p-2\">In the proximal zone of the fluvial system, these data show a positive correlation between extrusion rate at Santiaguito (E), aggradation area 12 months later (A<sub>prox</sub>), and rainfall during the intervening 12 months (Rain12): <i>A</i><sub>prox</sub>=3.92+0.50 E+0.31 ln(Rain12) (r<sup>2</sup>=0.79). This describes a situation in which an increase in sediment supply (extrusion rate) and/or a means to mobilize this sediment (rainfall) results in an increase in lahar activity (aggraded area). Across the medial zone, we find a positive correlation between extrusion rate and/or area of proximal aggradation and medial aggradation area (<i>A</i><sub>med</sub>): <i>A</i><sub>med</sub>=18.84-0.05 <i>A</i>prox - 6.15 Rain12 (<i>r</i><sup>2</sup>=0.85). Here the correlation between rainfall and aggradation area is negative. This describes a situation in which increased sediment supply results in an increase in lahar activity but, because it is the zone of transport, an increase in rainfall serves to increase the transport efficiency of rivers flowing through this zone. Thus, increased rainfall flushes the medial zone of sediment.</p><p id=\"p-3\">These quantitative data allow us to empirically define the links between sediment supply and mobilization in this fluvial system and to derive predictive relationships that use rainfall and extrusion rates to estimate aggradation area 12 months hence.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2006.2412(05)","usgsCitation":"Harris, A.J., Vallance, J.W., Kimberly, P., Rose, W., Matias, O., Bunzendahl, E., Flynn, L.P., and Garbeil, H., 2006, Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala: GSA Special Papers, v. 412, p. 85-104, https://doi.org/10.1130/2006.2412(05).","productDescription":"20 p.","startPage":"85","endPage":"104","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":331078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","otherGeospatial":"Volcán Santiaguito","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.77978515625,\n              15.998295390404955\n            ],\n            [\n              -90.3131103515625,\n              15.464269084198357\n            ],\n            [\n              -90.75256347656249,\n              13.923403897723347\n            ],\n            [\n              -91.1920166015625,\n              13.902075852500483\n            ],\n            [\n              -91.58752441406249,\n              13.98204586611312\n            ],\n            [\n              -91.812744140625,\n              14.120594658156678\n            ],\n            [\n              -92.0489501953125,\n              14.306969497825788\n            ],\n            [\n              -92.2137451171875,\n              14.471915406528263\n            ],\n            [\n              -92.186279296875,\n              14.578267209240462\n            ],\n            [\n              -92.1368408203125,\n              14.626108798876839\n            ],\n            [\n              -92.142333984375,\n              14.764259178591587\n            ],\n            [\n              -92.17529296875,\n              14.854540884509145\n            ],\n            [\n              -92.10937499999999,\n              14.891704754215477\n            ],\n            [\n              -92.13134765625,\n              14.971320017312587\n            ],\n            [\n              -92.0819091796875,\n              15.019074989409148\n            ],\n            [\n              -92.0489501953125,\n              15.10394633500913\n            ],\n            [\n              -92.197265625,\n              15.262988555023204\n            ],\n            [\n              -91.77978515625,\n              15.998295390404955\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582dd8eae4b04d580bd3fa9b","contributors":{"authors":[{"text":"Harris, Andrew J. L.","contributorId":169434,"corporation":false,"usgs":false,"family":"Harris","given":"Andrew","email":"","middleInitial":"J. L.","affiliations":[],"preferred":false,"id":653960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":653961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimberly, Paul","contributorId":104993,"corporation":false,"usgs":true,"family":"Kimberly","given":"Paul","email":"","affiliations":[],"preferred":false,"id":653962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, William I.","contributorId":174117,"corporation":false,"usgs":false,"family":"Rose","given":"William I.","affiliations":[],"preferred":false,"id":653963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matias, Otoniel","contributorId":176913,"corporation":false,"usgs":false,"family":"Matias","given":"Otoniel","email":"","affiliations":[],"preferred":false,"id":653964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunzendahl, Elly","contributorId":176914,"corporation":false,"usgs":false,"family":"Bunzendahl","given":"Elly","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":653965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flynn, Luke P.","contributorId":176915,"corporation":false,"usgs":false,"family":"Flynn","given":"Luke","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garbeil, Harold","contributorId":174447,"corporation":false,"usgs":false,"family":"Garbeil","given":"Harold","email":"","affiliations":[{"id":17202,"text":"University of Hawaii, Manoa","active":true,"usgs":false}],"preferred":false,"id":653967,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70029152,"text":"70029152 - 2006 - Radiometric calibration stability of the EO-1 advanced land imager: 5 years on-orbit","interactions":[],"lastModifiedDate":"2022-05-18T15:29:50.704432","indexId":"70029152","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric calibration stability of the EO-1 advanced land imager: 5 years on-orbit","docAbstract":"The Advanced Land Imager (ALI) was developed as a prototype sensor for follow on missions to Landsat-7. It was launched in November 2000 on the Earth Observing One (EO-1) satellite as a nominal one-year technology demonstration mission. As of this writing, the sensor has continued to operate in excess of 5 years. Six of the ALl's nine multi-spectral (MS) bands and the panchromatic band have similar spectral coverage as those on the Landsat-7 ETM+. In addition to on-board lamps, which have been significantly more stable than the lamps on ETM+, the ALI has a solar diffuser and has imaged the moon monthly since launch. This combined calibration dataset allows understanding of the radiometric stability of the ALI system, its calibrators and some differentiation of the sources of the changes with time. The solar dataset is limited as the mechanism controlling the aperture to the solar diffuser failed approximately 18 months after launch. Results over 5 years indicate that: the shortest wavelength band (443 nm) has degraded in response about 2%; the 482 nm and 565 nm bands decreased in response about 1%; the 660 nm, 790 nm and 868 nm bands each degraded about 5%; the 1250 nm and 1650 nm bands did not change significantly and the 2215 nm band increased in response about 2%.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sensors, Systems, and Next-Generation Satellites X","conferenceDate":"Sep 11-13, 2006","conferenceLocation":"Stockholm, Sweden","language":"English","publisher":"SPIE","doi":"10.1117/12.690058","usgsCitation":"Markham, B.L., Ong, L., Barsi, J., Mendenhall, J.A., Lencioni, D.E., Helder, D., Hollaren, D., and Morfitt, R., 2006, Radiometric calibration stability of the EO-1 advanced land imager: 5 years on-orbit, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 6361, Stockholm, Sweden, Sep 11-13, 2006, 63610U, https://doi.org/10.1117/12.690058.","productDescription":"63610U","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":237467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6361","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a940ee4b0c8380cd81199","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":421543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ong, L.","contributorId":63565,"corporation":false,"usgs":true,"family":"Ong","given":"L.","email":"","affiliations":[],"preferred":false,"id":421540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":421538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendenhall, J. A.","contributorId":76928,"corporation":false,"usgs":true,"family":"Mendenhall","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":421541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lencioni, D. E.","contributorId":82893,"corporation":false,"usgs":true,"family":"Lencioni","given":"D.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":421542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":421539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hollaren, D. M.","contributorId":99763,"corporation":false,"usgs":true,"family":"Hollaren","given":"D. M.","affiliations":[],"preferred":false,"id":421544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, R. 0000-0002-4777-4877","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":103858,"corporation":false,"usgs":true,"family":"Morfitt","given":"R.","affiliations":[],"preferred":false,"id":421545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70028710,"text":"70028710 - 2006 - Cross-calibration of A.M. constellation sensors for long term monitoring of land surface processes","interactions":[],"lastModifiedDate":"2022-05-18T15:32:10.299664","indexId":"70028710","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cross-calibration of A.M. constellation sensors for long term monitoring of land surface processes","docAbstract":"Data from multiple sensors must be used together to gain a more complete understanding of land surface processes at a variety of scales. Although higher-level products derived from different sensors (e.g., vegetation cover, albedo, surface temperature) can be validated independently, the degree to which these sensors and their products can be compared to one another is vastly improved if their relative spectro-radiometric responses are known. Most often, sensors are directly calibrated to diffuse solar irradiation or vicariously to ground targets. However, space-based targets are not traceable to metrological standards, and vicarious calibrations are expensive and provide a poor sampling of a sensor's full dynamic range. Cross-calibration of two sensors can augment these methods if certain conditions can be met: (1) the spectral responses are similar, (2) the observations are reasonably concurrent (similar atmospheric & solar illumination conditions), (3) errors due to misregistrations of inhomogeneous surfaces can be minimized (including scale differences), and (4) the viewing geometry is similar (or, some reasonable knowledge of surface bi-directional reflectance distribution functions is available). This study extends on a previous study of Terra/MODIS and Landsat/ETM+ cross calibration by including the Terra/ASTER and EO-1/ALI sensors, exploring the impacts of cross-calibrating sensors when conditions described above are met to some degree but not perfectly. Measures for spectral response differences and methods for cross calibrating such sensors are provided in this study. These instruments are cross calibrated using the Railroad Valley playa in Nevada. Best fit linear coefficients (slope and offset) are provided for ALI-to-MODIS and ETM+-to-MODIS cross calibrations, and root-mean-squared errors (RMSEs) and correlation coefficients are provided to quantify the uncertainty in these relationships. Due to problems with direct calibration of ASTER data, linear fits were developed between ASTER and ETM+ to assess the impacts of spectral bandpass differences between the two systems. In theory, the linear fits and uncertainties can be used to compare radiance and reflectance products derived from each instrument.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications","conferenceDate":"November 13-16, 2006","conferenceLocation":"Goa, India","language":"English","doi":"10.1117/12.694127","usgsCitation":"Meyer, D., and Chander, G., 2006, Cross-calibration of A.M. constellation sensors for long term monitoring of land surface processes, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 6405, Goa, India, November 13-16, 2006, 64050Z, https://doi.org/10.1117/12.694127.","productDescription":"64050Z","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":236542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6405","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fcc0e4b0c8380cd4e3f7","contributors":{"authors":[{"text":"Meyer, D.","contributorId":31131,"corporation":false,"usgs":true,"family":"Meyer","given":"D.","affiliations":[],"preferred":false,"id":419375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":419376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182546,"text":"70182546 - 2006 - Remotely sensed data available from the US Geological Survey EROS Data Center","interactions":[],"lastModifiedDate":"2017-03-27T11:10:09","indexId":"70182546","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Remotely sensed data available from the US Geological Survey EROS Data Center","docAbstract":"<p><span>The Center for Earth Resources Observation Systems (EROS) is a field center of the geography discipline within the US geological survey (USGS) of the Department of the Interior. The EROS Data Center (EDC) was established in the early 1970s as the nation’s principal archive of remotely sensed data. Initially the EDC was responsible for the archive, reproduction, and distribution of black-and-white and color-infrared aerial photography acquired under numerous mapping programs conducted by various Federal agencies including the USGS, Department of Agriculture, Environmental Protection Agency, and NASA. The EDC was also designated the central archive for data acquired by the first satellite sensor designed for broad-scale earth observations in support of civilian agency needs for earth resource information. A four-band multispectral scanner (MSS) and a return-beam vidicon (RBV) camera were initially flown on the Earth Resources Technology Satellite-1, subsequently designated Landsat-1. The synoptic coverage, moderate spatial resolution, and multi-spectral view provided by these data stimulated scientists with an unprecedented perspective from which to study the Earth’s surface and to understand the relationships between human activity and natural systems.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earth science satellite remote sensing— Data, computational processing, and tools","language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany ","usgsCitation":"Dwyer, J.L., 2006, Remotely sensed data available from the US Geological Survey EROS Data Center, chap. <i>of</i> Earth science satellite remote sensing— Data, computational processing, and tools, p. 18-51.","productDescription":"32 p. ","startPage":"18","endPage":"51","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b1543fe4b01ccd54fc5ebd","contributors":{"editors":[{"text":"Qu, J.J.","contributorId":182468,"corporation":false,"usgs":false,"family":"Qu","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":671525,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gao, W.","contributorId":42031,"corporation":false,"usgs":true,"family":"Gao","given":"W.","email":"","affiliations":[],"preferred":false,"id":671526,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kafatos, M.","contributorId":23753,"corporation":false,"usgs":true,"family":"Kafatos","given":"M.","email":"","affiliations":[],"preferred":false,"id":671527,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Murphy, R.E.","contributorId":182469,"corporation":false,"usgs":false,"family":"Murphy","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":671528,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Salomonson, V.V.","contributorId":61968,"corporation":false,"usgs":true,"family":"Salomonson","given":"V.V.","email":"","affiliations":[],"preferred":false,"id":671529,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Dwyer, John L. 0000-0002-8281-0896","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":6136,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":671524,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70028974,"text":"70028974 - 2006 - Stability of landsat-4 thematic mapper outgassing models","interactions":[],"lastModifiedDate":"2012-03-12T17:20:57","indexId":"70028974","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stability of landsat-4 thematic mapper outgassing models","docAbstract":"Oscillations in radiometric gains of the short wave infrared (SWIR) bands in Landsat-4 (L4) and Landsat-5 (L5) Thematic Mappers (TMs) are observed through an analysis of detector responses to the Internal Calibrator (IC) pulses. The oscillations are believed to be caused by an interference effect due to a contaminant film buildup on the window of the cryogenically cooled dewar that houses these detectors. This process of contamination, referred to as outgassing effects, has been well characterized using an optical thin-film model that relates detector responses to the accumulated film thickness and its growth rate. The current models for L4 TM are based on average detector responses to the second brightest IC lamp and have been derived from three data sets acquired during different times throughout the instrument's lifetime. Unlike in L5 TM outgassing characterization, it was found that the L4 TM responses to all three IC lamps can be used to provide accurate characterization and correction for outgassing effects. The analysis of single detector responses revealed an up to five percent difference in the estimated oscillating periods and also indicated a gradual variation of contaminant growth rate over the focal plane.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Earth Observing Systems XI","conferenceDate":"14 August 2006 through 16 August 2006","conferenceLocation":"San Diego, CA","language":"English","doi":"10.1117/12.683264","issn":"0277786X","isbn":"0819463752; 9780819463753","usgsCitation":"Micijevic, E., and Chander, G., 2006, Stability of landsat-4 thematic mapper outgassing models, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 6296, San Diego, CA, 14 August 2006 through 16 August 2006, https://doi.org/10.1117/12.683264.","costCenters":[],"links":[{"id":209833,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.683264"},{"id":236562,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6296","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9655e4b08c986b31b445","contributors":{"authors":[{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":420801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":420800,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70028132,"text":"70028132 - 2006 - Remote sensing for grassland management in the arid Southwest","interactions":[],"lastModifiedDate":"2012-03-12T17:20:51","indexId":"70028132","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing for grassland management in the arid Southwest","docAbstract":"We surveyed a group of rangeland managers in the Southwest about vegetation monitoring needs on grassland. Based on their responses, the objective of the RANGES (Rangeland Analysis Utilizing Geospatial Information Science) project was defined to be the accurate conversion of remotely sensed data (satellite imagery) to quantitative estimates of total (green and senescent) standing cover and biomass on grasslands and semidesert grasslands. Although remote sensing has been used to estimate green vegetation cover, in arid grasslands herbaceous vegetation is senescent much of the year and is not detected by current remote sensing techniques. We developed a ground truth protocol compatible with both range management requirements and Landsat's 30 m resolution imagery. The resulting ground-truth data were then used to develop image processing algorithms that quantified total herbaceous vegetation cover, height, and biomass. Cover was calculated based on a newly developed Soil Adjusted Total Vegetation Index (SATVI), and height and biomass were estimated based on reflectance in the near infrared (NIR) band. Comparison of the remotely sensed estimates with independent ground measurements produced r2 values of 0.80, 0.85, and 0.77 and Nash Sutcliffe values of 0.78, 0.70, and 0.77 for the cover, plant height, and biomass, respectively. The approach for estimating plant height and biomass did not work for sites where forbs comprised more than 30% of total vegetative cover. The ground reconnaissance protocol and image processing techniques together offer land managers accurate and timely methods for monitoring extensive grasslands. The time-consuming requirement to collect concurrent data in the field for each image implies a need to share the high fixed costs of processing an image across multiple users to reduce the costs for individual rangeland managers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2111/05-201R.1","issn":"15507424","usgsCitation":"Marsett, R., Qi, J., Heilman, P., Biedenbender, S., Watson, M., Amer, S., Weltz, M., Goodrich, D., and Marsett, R., 2006, Remote sensing for grassland management in the arid Southwest: Rangeland Ecology and Management, v. 59, no. 5, p. 530-540, https://doi.org/10.2111/05-201R.1.","startPage":"530","endPage":"540","numberOfPages":"11","costCenters":[],"links":[{"id":487561,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/643104","text":"External Repository"},{"id":210309,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/05-201R.1"},{"id":237193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6fbe4b0c8380cd8515e","contributors":{"authors":[{"text":"Marsett, R.C.","contributorId":66905,"corporation":false,"usgs":true,"family":"Marsett","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":416690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, J.","contributorId":48718,"corporation":false,"usgs":true,"family":"Qi","given":"J.","email":"","affiliations":[],"preferred":false,"id":416689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heilman, P.","contributorId":44731,"corporation":false,"usgs":true,"family":"Heilman","given":"P.","email":"","affiliations":[],"preferred":false,"id":416688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biedenbender, S.H.","contributorId":95670,"corporation":false,"usgs":true,"family":"Biedenbender","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":416692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watson, M.C.","contributorId":18959,"corporation":false,"usgs":true,"family":"Watson","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":416686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amer, S.","contributorId":27663,"corporation":false,"usgs":true,"family":"Amer","given":"S.","email":"","affiliations":[],"preferred":false,"id":416687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weltz, M.","contributorId":105903,"corporation":false,"usgs":true,"family":"Weltz","given":"M.","email":"","affiliations":[],"preferred":false,"id":416694,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodrich, D.","contributorId":101864,"corporation":false,"usgs":true,"family":"Goodrich","given":"D.","affiliations":[],"preferred":false,"id":416693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marsett, R.","contributorId":69322,"corporation":false,"usgs":true,"family":"Marsett","given":"R.","affiliations":[],"preferred":false,"id":416691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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