By using both high-resolution orthoimagery and medium-resolution Landsat satellite imagery with other geospatial information, several land surface parameters including impervious surfaces and land surface temperatures for three geographically distinct urban areas in the United States – Seattle, Washington, Tampa Bay, Florida, and Las Vegas, Nevada, are obtained. Percent impervious surface is used to quantitatively define the spatial extent and development density of urban land use. Land surface temperatures were retrieved by using a single band algorithm that processes both thermal infrared satellite data and total atmospheric water vapor content. Land surface temperatures were analyzed for different land use and land cover categories in the three regions. The heterogeneity of urban land surface and associated spatial extents were shown to influence surface thermal conditions because of the removal of vegetative cover, the introduction of non-transpiring surfaces, and the reduction in evaporation over urban impervious surfaces. Fifty years of in situ climate data were integrated to assess regional climatic conditions. The spatial structure of surface heating influenced by landscape characteristics has a profound influence on regional climate conditions, especially through urban heat island effects.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.asr.2007.11.004","issn":"02731177","usgsCitation":"Xian, G., 2008, Satellite remotely-sensed land surface parameters and their climatic effects for three metropolitan regions: Advances in Space Research, v. 41, no. 11, p. 1861-1869, https://doi.org/10.1016/j.asr.2007.11.004.","productDescription":"9 p.","startPage":"1861","endPage":"1869","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":240803,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213200,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.asr.2007.11.004"}],"volume":"41","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86e6e4b08c986b3161bf","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":440818,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70033535,"text":"70033535 - 2008 - Identifying mangrove species and their surrounding land use and land cover classes using object-oriented approach with a lacunarity spatial measure","interactions":[],"lastModifiedDate":"2017-04-03T12:54:02","indexId":"70033535","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Identifying mangrove species and their surrounding land use and land cover classes using object-oriented approach with a lacunarity spatial measure","docAbstract":"Accurate and reliable information on the spatial distribution of mangrove species is needed for a wide variety of applications, including sustainable management of mangrove forests, conservation and reserve planning, ecological and biogeographical studies, and invasive species management. Remotely sensed data have been used for such purposes with mixed results. Our study employed an object-oriented approach with the use of a lacunarity technique to identify different mangrove species and their surrounding land use and land cover classes in a tsunami-affected area of Thailand using Landsat satellite data. Our results showed that the object-oriented approach with lacunarity-transformed bands is more accurate (over-all accuracy 94.2%; kappa coefficient = 0.91) than traditional per-pixel classifiers (overall accuracy 62.8%; and kappa coefficient = 0.57). Copyright ?? 2008 by Bellwether Publishing, Ltd. All rights reserved.","language":"English","publisher":"Taylor & Francis","usgsCitation":"Myint, S., Giri, C., Wang, L., Zhu, Z., and Gillete, S., 2008, Identifying mangrove species and their surrounding land use and land cover classes using object-oriented approach with a lacunarity spatial measure: GIScience and Remote Sensing, v. 45, no. 2, p. 188-208.","productDescription":"21 p.","startPage":"188","endPage":"208","numberOfPages":"21","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214277,"rank":9999,"type":{"id":15,"text":"Index Page"},"url":"https://www.tandfonline.com/doi/abs/10.2747/1548-1603.45.2.188"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a384fe4b0c8380cd61510","contributors":{"authors":[{"text":"Myint, S.W.","contributorId":18103,"corporation":false,"usgs":true,"family":"Myint","given":"S.W.","affiliations":[],"preferred":false,"id":441345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, C.P.","contributorId":29647,"corporation":false,"usgs":true,"family":"Giri","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":441346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, L.","contributorId":76904,"corporation":false,"usgs":true,"family":"Wang","given":"L.","email":"","affiliations":[],"preferred":false,"id":441348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Z.","contributorId":10898,"corporation":false,"usgs":true,"family":"Zhu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":441344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillete, S.C.","contributorId":51553,"corporation":false,"usgs":true,"family":"Gillete","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":441347,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033652,"text":"70033652 - 2008 - Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States","interactions":[],"lastModifiedDate":"2017-04-03T14:10:55","indexId":"70033652","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States","docAbstract":"Over the past 350 years, the eastern half of the United States experienced extensive land cover changes. These began with land clearing in the 1600s, continued with widespread deforestation, wetland drainage, and intensive land use by 1920, and then evolved to the present-day landscape of forest regrowth, intensive agriculture, urban expansion, and landscape fragmentation. Such changes alter biophysical properties that are key determinants of land-atmosphere interactions (water, energy, and carbon exchanges). To understand the potential implications of these land use transformations, we developed and analyzed 20-km land cover and biophysical parameter data sets for the eastern United States at 1650, 1850, 1920, and 1992 time slices. Our approach combined potential vegetation, county-level census data, soils data, resource statistics, a Landsat-derived land cover classification, and published historical information on land cover and land use. We reconstructed land use intensity maps for each time slice and characterized the land cover condition. We combined these land use data with a mutually consistent set of biophysical parameter classes, to characterize the historical diversity and distribution of land surface properties. Time series maps of land surface albedo, leaf area index, a deciduousness index, canopy height, surface roughness, and potential saturated soils in 1650, 1850, 1920, and 1992 illustrate the profound effects of land use change on biophysical properties of the land surface. Although much of the eastern forest has returned, the average biophysical parameters for recent landscapes remain markedly different from those of earlier periods. Understanding the consequences of these historical changes will require land-atmosphere interactions modeling experiments.","language":"English","publisher":"AGU Publications","doi":"10.1029/2006JD008277","issn":"01480227","usgsCitation":"Steyaert, L.T., and Knox, R., 2008, Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States: Journal of Geophysical Research D: Atmospheres, v. 113, no. 2, p. 1-27, https://doi.org/10.1029/2006JD008277.","productDescription":"D02101; 27 p.","startPage":"1","endPage":"27","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476704,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006jd008277","text":"Publisher Index Page"},{"id":242290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214555,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006JD008277"}],"volume":"113","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-01-16","publicationStatus":"PW","scienceBaseUri":"50e4a24ae4b0e8fec6cdb555","contributors":{"authors":[{"text":"Steyaert, Louis T.","contributorId":24689,"corporation":false,"usgs":true,"family":"Steyaert","given":"Louis","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":441838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knox, R.G.","contributorId":95690,"corporation":false,"usgs":true,"family":"Knox","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":441839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033738,"text":"70033738 - 2008 - Land cover and forest formation distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from decision tree classification of cloud-cleared satellite imagery","interactions":[],"lastModifiedDate":"2015-08-24T12:50:35","indexId":"70033738","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1185,"text":"Caribbean Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Land cover and forest formation distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from decision tree classification of cloud-cleared satellite imagery","docAbstract":"Satellite image-based mapping of tropical forests is vital to conservation planning. Standard methods for automated image classification, however, limit classification detail in complex tropical landscapes. In this study, we test an approach to Landsat image interpretation on four islands of the Lesser Antilles, including Grenada and St. Kitts, Nevis and St. Eustatius, testing a more detailed classification than earlier work in the latter three islands. Secondly, we estimate the extents of land cover and protected forest by formation for five islands and ask how land cover has changed over the second half of the 20th century. The image interpretation approach combines image mosaics and ancillary geographic data, classifying the resulting set of raster data with decision tree software. Cloud-free image mosaics for one or two seasons were created by applying regression tree normalization to scene dates that could fill cloudy areas in a base scene. Such mosaics are also known as cloud-filled, cloud-minimized or cloud-cleared imagery, mosaics, or composites. The approach accurately distinguished several classes that more standard methods would confuse; the seamless mosaics aided reference data collection; and the multiseason imagery allowed us to separate drought deciduous forests and woodlands from semi-deciduous ones. Cultivated land areas declined 60 to 100 percent from about 1945 to 2000 on several islands. Meanwhile, forest cover has increased 50 to 950%. This trend will likely continue where sugar cane cultivation has dominated. Like the island of Puerto Rico, most higher-elevation forest formations are protected in formal or informal reserves. Also similarly, lowland forests, which are drier forest types on these islands, are not well represented in reserves. Former cultivated lands in lowland areas could provide lands for new reserves of drier forest types. The land-use history of these islands may provide insight for planners in countries currently considering lowland forest clearing for agriculture. Copyright 2008 College of Arts and Sciences.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Caribbean Journal of Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00086","usgsCitation":"Helmer, E., Kennaway, T., Pedreros, D., Clark, M.L., Marcano-Vega, H., Tieszen, L., Ruzycki, T., Schill, S., and Carrington, C., 2008, Land cover and forest formation distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from decision tree classification of cloud-cleared satellite imagery: Caribbean Journal of Science, v. 44, no. 2, p. 175-198.","startPage":"175","endPage":"198","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242031,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307240,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.caribjsci.org/index.html"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a41a2e4b0c8380cd65690","contributors":{"authors":[{"text":"Helmer, E.H.","contributorId":22213,"corporation":false,"usgs":true,"family":"Helmer","given":"E.H.","email":"","affiliations":[],"preferred":false,"id":442219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennaway, T.A.","contributorId":68181,"corporation":false,"usgs":true,"family":"Kennaway","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":442224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedreros, D.H. 0000-0001-9943-7373","orcid":"https://orcid.org/0000-0001-9943-7373","contributorId":44051,"corporation":false,"usgs":true,"family":"Pedreros","given":"D.H.","affiliations":[],"preferred":false,"id":442223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, M. L.","contributorId":19595,"corporation":false,"usgs":true,"family":"Clark","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marcano-Vega, H.","contributorId":101529,"corporation":false,"usgs":true,"family":"Marcano-Vega","given":"H.","email":"","affiliations":[],"preferred":false,"id":442225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tieszen, L.L.","contributorId":24046,"corporation":false,"usgs":true,"family":"Tieszen","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":442220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruzycki, T.R.","contributorId":37217,"corporation":false,"usgs":true,"family":"Ruzycki","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":442222,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schill, S.R.","contributorId":36023,"corporation":false,"usgs":true,"family":"Schill","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":442221,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carrington, C.M.S.","contributorId":11480,"corporation":false,"usgs":true,"family":"Carrington","given":"C.M.S.","email":"","affiliations":[],"preferred":false,"id":442217,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":77492,"text":"i2600B - 2008 - Coastal-Change and Glaciological Map of the Larsen Ice Shelf Area, Antarctica, 1940-2005","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"i2600B","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","chapter":"B","title":"Coastal-Change and Glaciological Map of the Larsen Ice Shelf Area, Antarctica, 1940-2005","docAbstract":"Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level could severely impact the densely populated coastal regions on Earth. Antarctica is Earth's largest reservoir of glacial ice. Melting of the West Antarctic part alone of the Antarctic ice sheet would cause a sea-level rise of approximately 6 meters (m), and the potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). The mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is highly complex, responding differently to different climatic and other conditions in each region (Vaughan, 2005). In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic ice sheet is probably becoming thinner overall; although it is known to be thickening in the west, it is thinning in the north. The mass balance of the East Antarctic ice sheet is thought by Davis and others (2005) to be positive on the basis of the change in satellite-altimetry measurements made between 1992 and 2003. \r\n\r\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the cryospheric coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) images [and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images], RADARSAT images, aerial photography, and other data where available, to compare changes that occurred during a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps (I-2600) (Williams and others, 1995; Ferrigno and others, 2002; and Williams and Ferrigno, 2005) (available online at http://www.glaciers.er.usgs.gov). ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/i2600B","isbn":"9781411319103","collaboration":"Prepared in cooperation with the British Antarctic Survey, the Scott Polar Research Institute, and the Bundesamt fur Kartographie und Geodasie","usgsCitation":"Ferrigno, J.G., Cook, A.J., Mathie, A., Williams, R., Swithinbank, C., Foley, K.M., Fox, A.J., Thomson, J.W., and Sievers, J., 2008, Coastal-Change and Glaciological Map of the Larsen Ice Shelf Area, Antarctica, 1940-2005: U.S. Geological Survey IMAP 2600, Report: iv, 28 p.; Map: 51 x 27.5 inches, https://doi.org/10.3133/i2600B.","productDescription":"Report: iv, 28 p.; Map: 51 x 27.5 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1940-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":191199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12525,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/B/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Polar stereographic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,-70 ], [ -78,-65 ], [ -57,-65 ], [ -57,-70 ], [ -78,-70 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea34","contributors":{"authors":[{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":288594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Alison J.","contributorId":42665,"corporation":false,"usgs":true,"family":"Cook","given":"Alison","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathie, Amy M.","contributorId":82803,"corporation":false,"usgs":true,"family":"Mathie","given":"Amy M.","affiliations":[],"preferred":false,"id":288597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":288598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swithinbank, Charles","contributorId":26368,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","email":"","affiliations":[],"preferred":false,"id":288592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":288591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fox, Adrian J.","contributorId":68413,"corporation":false,"usgs":true,"family":"Fox","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288596,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomson, Janet W.","contributorId":32212,"corporation":false,"usgs":true,"family":"Thomson","given":"Janet","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":288593,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sievers, Jorn","contributorId":101753,"corporation":false,"usgs":true,"family":"Sievers","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":288599,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":81123,"text":"i2600H - 2007 - Coastal-Change and Glaciological Map of the Northern Ross Ice Shelf Area, Antarctica: 1962-2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"i2600H","displayToPublicDate":"2008-04-22T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","chapter":"H","title":"Coastal-Change and Glaciological Map of the Northern Ross Ice Shelf Area, Antarctica: 1962-2004","docAbstract":"Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level could severely impact the densely populated coastal regions on Earth. Melting of the West Antarctic part alone of the Antarctic ice sheet would cause a sea-level rise of approximately 6 meters (m). The potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). The mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is highly complex, responding differently to different conditions in each region (Vaughan, 2005). In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic ice sheet is probably becoming thinner overall; although it is thickening in the west, it is thinning in the north. Thomas and others (2004), on the basis of aircraft and satellite laser altimetry surveys, believe the thinning may be accelerating. Joughin and Tulaczyk (2002), on the basis of analysis of ice-flow velocities derived from synthetic aperture radar, concluded that most of the Ross ice streams (ice streams on the east side of the Ross Ice Shelf) have a positive mass balance, whereas Rignot and others (2004) infer even larger negative mass balance for glaciers flowing northward into the Amundsen Sea, a trend suggested by Swithinbank and others (2003a,b; 2004). The mass balance of the East Antarctic ice sheet is thought by Davis and others (2005) to be strongly positive on the basis of the change in satellite altimetry measurements made between 1992 and 2003.\r\n\r\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation?s (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) images (and in some areas Landsat 7 Enhanced Thematic Mapper Plus [ETM+] images), RADARSAT images, and other data where available, in order to compare changes that occurred during a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps (I?2600) (Williams and others, 1995; Williams and Ferrigno, 1998; Ferrigno and others, 2002) (available online at http://www.glaciers.er.usgs.gov).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/i2600H","isbn":"9781411309616","collaboration":"Prepared in cooperation with the Scott Polar Research Institute, University of Cambridge, United Kingdom","usgsCitation":"Ferrigno, J.G., Foley, K.M., Swithinbank, C., and Williams, R., 2007, Coastal-Change and Glaciological Map of the Northern Ross Ice Shelf Area, Antarctica: 1962-2004: U.S. Geological Survey IMAP 2600, Pamphlet: iv, 11 p.; Plate: 43 x 27 inches, https://doi.org/10.3133/i2600H.","productDescription":"Pamphlet: iv, 11 p.; Plate: 43 x 27 inches","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11145,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/i-2600-h/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Polar Stereographic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 169,-81 ], [ 169,-76 ], [ -158,-76 ], [ -158,-81 ], [ 169,-81 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65de37","contributors":{"authors":[{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":294408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":294406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swithinbank, Charles","contributorId":26368,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","email":"","affiliations":[],"preferred":false,"id":294407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":294409,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":81046,"text":"ofr20071143 - 2007 - EL68D Wasteway Watershed Land-Cover Generation","interactions":[],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"ofr20071143","displayToPublicDate":"2008-03-27T00:00:00","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":"2007-1143","title":"EL68D Wasteway Watershed Land-Cover Generation","docAbstract":"Classification of land cover from Landsat Enhanced Thematic Mapper Plus (ETM+) for the EL68D Wasteway Watershed in the State of Washington is documented. The procedures for classification include use of two ETM+ scenes in a simultaneous unsupervised classification process supported by extensive field data collection using Global Positioning System receivers and digital photos. The procedure resulted in a detailed classification at the individual crop species level.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071143","usgsCitation":"Ruhl, S., Usery, E.L., and Finn, M.P., 2007, EL68D Wasteway Watershed Land-Cover Generation: U.S. Geological Survey Open-File Report 2007-1143, iv, 28 p., https://doi.org/10.3133/ofr20071143.","productDescription":"iv, 28 p.","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":195412,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10909,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1143/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c367","contributors":{"authors":[{"text":"Ruhl, Sheila","contributorId":103759,"corporation":false,"usgs":true,"family":"Ruhl","given":"Sheila","email":"","affiliations":[],"preferred":false,"id":294212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":294210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":294211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81044,"text":"ds318 - 2007 - ASTER-Derived 30-Meter-Resolution Digital Elevation Models of Afghanistan","interactions":[],"lastModifiedDate":"2021-08-24T12:18:49.117255","indexId":"ds318","displayToPublicDate":"2008-03-25T00:00:00","publicationYear":"2007","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":"318","title":"ASTER-Derived 30-Meter-Resolution Digital Elevation Models of Afghanistan","docAbstract":"INTRODUCTION\r\n\r\nThe Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is an imaging instrument aboard the Terra satellite, launched on December 19, 1999, as part of the National Aeronautics and Space Administration's (NASA) Earth Observing System (EOS). The ASTER sensor consists of three subsystems: the visible and near infrared (VNIR), the shortwave infrared (SWIR), and the thermal infrared (TIR), each with a different spatial resolution (VNIR, 15 meters; SWIR, 30 meters, TIR 90 meters). The VNIR system has the capability to generate along-track stereo images that can be used to create digital elevation models (DEMs) at 30-meter resolution.\r\n\r\nCurrently, the only available DEM dataset for Afghanistan is the 90-meter-resolution Shuttle Radar Topography Mission (SRTM) data. This dataset is appropriate for macroscale DEM analysis and mapping. However, ASTER provides a low cost opportunity to generate higher resolution data. For this publication, study areas were identified around populated areas and areas where higher resolution elevation data were desired to assist in natural resource assessments. The higher resolution fidelity of these DEMs can also be used for other terrain analysis including landform classification and geologic structure analysis.\r\n\r\nFor this publication, ASTER scenes were processed and mosaicked to generate 36 DEMs which were created and extracted using PCI Geomatics' OrthoEngine 3D Stereo software. The ASTER images were geographically registered to Landsat data with at least 15 accurate and well distributed ground control points with a root mean square error (RMSE) of less that one pixel (15 meters). An elevation value was then assigned to each ground control point by extracting the elevation from the 90-meter SRTM data. The 36 derived DEMs demonstrate that the software correlated on nearly flat surfaces and smooth slopes accurately. Larger errors occur in cloudy and snow-covered areas, lakes, areas with steep slopes, and southeastern-facing slopes. In these areas, holes, large pits, and spikes were generated by the software during the correlation process and the automatic interpolation method. To eliminate these problems, overlapping DEMs were generated and filtered using a progressive morphologic filter.\r\n\r\nThe quadrangles used to delineate the DEMs in the publication were derived from the Afghan Geodesy and Cartography Head Office's (AGCHO) 1:100,000-scale maps series quadrangles. Each DEM was clipped and assigned a name according to the associated AGCHO quadrangle name. The geospatial data included in this publication are intended to be used with any GIS software packages including, but not limited to, ESRI's ArcGIS and ERDAS IMAGINE.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds318","usgsCitation":"Chirico, P., and Warner, M.B., 2007, ASTER-Derived 30-Meter-Resolution Digital Elevation Models of Afghanistan: U.S. Geological Survey Data Series 318, Available online and on DVD-ROM, https://doi.org/10.3133/ds318.","productDescription":"Available online and on DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195281,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10906,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/318/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a477a","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":294207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, Michael B.","contributorId":26767,"corporation":false,"usgs":true,"family":"Warner","given":"Michael","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":294206,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80792,"text":"fs20073116 - 2007 - Landsat Image Mosaic of Antarctica (LIMA)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:13","indexId":"fs20073116","displayToPublicDate":"2008-01-09T00:00:00","publicationYear":"2007","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":"2007-3116","title":"Landsat Image Mosaic of Antarctica (LIMA)","docAbstract":"For most of us, Antarctica was at best a distant acquaintance. Now, with the Landsat Image Mosaic of Antarctica (LIMA), we are on intimate terms. In stunning, up-close and personal detail, LIMA brings Antarctica to life.\r\n\r\nExplore this virtually cloudless, seamless, most geometrically accurate, and highest resolution satellite mosaic of Antarctica.\r\n\r\nA team of scientists from the U.S. Geological Survey, the British Antarctic Survey, and the National Aeronautics and Space Administration, with funding from the National Science Foundation, created LIMA in support of the International Polar Year (IPY; 2007?08).\r\n\r\nAs the first major scientific outcome of the IPY, LIMA truly fulfills the IPY goals. LIMA is an international effort, supports current scientific polar research, encourages new projects, and helps the general public visualize Antarctica and changes happening in this southernmost environment. Researchers and the general public can download LIMA and all component Landsat scenes at no charge.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073116","collaboration":"Prepared in cooperation with the National Science Foundation","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Landsat Image Mosaic of Antarctica (LIMA) (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3116, 4 p., https://doi.org/10.3133/fs20073116.","productDescription":"4 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":125093,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3116.jpg"},{"id":10629,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3116/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ade09","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":534926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80657,"text":"fs20073095 - 2007 - Ghana watershed prototype products","interactions":[],"lastModifiedDate":"2017-03-28T11:06:16","indexId":"fs20073095","displayToPublicDate":"2007-11-17T00:00:00","publicationYear":"2007","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":"2007-3095","title":"Ghana watershed prototype products","docAbstract":"A number of satellite data sets are available through the U.S. Geological Survey (USGS) for monitoring land surface features. Representative data sets include Landsat, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Shuttle Radar Topography Mission (SRTM). The Ghana Watershed Prototype Products cover an area within southern Ghana, Africa, and include examples of the aforementioned data sets along with sample SRTM derivative data sets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20073095","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Ghana watershed prototype products (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3095, 2 p., https://doi.org/10.3133/fs20073095.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3095.jpg"},{"id":338449,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2007/3095/pdf/fs20073095.pdf"},{"id":10499,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3095/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679e8f","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":534919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80637,"text":"fs20073093 - 2007 - Landsat Data Continuity Mission","interactions":[],"lastModifiedDate":"2012-02-02T00:14:08","indexId":"fs20073093","displayToPublicDate":"2007-11-10T00:00:00","publicationYear":"2007","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":"2007-3093","title":"Landsat Data Continuity Mission","docAbstract":"The Landsat Data Continuity Mission (LDCM) is a partnership between the National Aeronautics and Space Administration (NASA) and the U.S. Geological Survey (USGS) to place the next Landsat satellite in orbit by late 2012. The Landsat era that began in 1972 will become a nearly 45-year global land record with the successful launch and operation of the LDCM. The LDCM will continue the acquisition, archival, and distribution of multispectral imagery affording global, synoptic, and repetitive coverage of the Earth's land surfaces at a scale where natural and human-induced changes can be detected, differentiated, characterized, and monitored over time.\r\n\r\nThe mission objectives of the LDCM are to (1) collect and archive medium resolution (circa 30-m spatial resolution) multispectral image data affording seasonal coverage of the global landmasses for a period of no less than 5 years; (2) ensure that LDCM data are sufficiently consistent with data from the earlier Landsat missions, in terms of acquisition geometry, calibration, coverage characteristics, spectral characteristics, output product quality, and data availability to permit studies of land-cover and land-use change over time; and (3) distribute LDCM data products to the general public on a nondiscriminatory basis and at a price no greater than the incremental cost of fulfilling a user request. Distribution of LDCM data over the Internet at no cost to the user is currently planned.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073093","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Landsat Data Continuity Mission (Version 1.2, Revised Nov 2008): U.S. Geological Survey Fact Sheet 2007-3093, 4 p., https://doi.org/10.3133/fs20073093.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":125730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3093.jpg"},{"id":10476,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3093/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.2, Revised Nov 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf00","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":534915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80613,"text":"sir20075235 - 2007 - Land-Cover Trends of the Southern California Mountains Ecoregion","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"sir20075235","displayToPublicDate":"2007-10-30T00:00:00","publicationYear":"2007","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":"2007-5235","title":"Land-Cover Trends of the Southern California Mountains Ecoregion","docAbstract":"This report presents an assessment of land-use and land-cover (LU/LC) change in the Southern California Mountains ecoregion for the period 1973-2001. The Southern California Mountains is one of 84 Level-III ecoregions as defined by the U.S. Environmental Protection Agency (EPA). Ecoregions have served as a spatial framework for environmental resource management, denoting areas that contain a geographically distinct assemblage of biotic and abiotic phenomena including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. 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2007 - Maps of Quadrangles 3168 and 3268, Yahya-Wona (703), Wersek (704), Khayr-Kot (521), and Urgon (522) Quadrangles, Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20051117","displayToPublicDate":"2007-10-24T00:00:00","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":"2005-1117","title":"Maps of Quadrangles 3168 and 3268, Yahya-Wona (703), Wersek (704), Khayr-Kot (521), and Urgon (522) 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/ofr20051117","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 3168 and 3268, Yahya-Wona (703), Wersek (704), Khayr-Kot (521), and Urgon (522) Quadrangles, Afghanistan: U.S. Geological Survey Open-File Report 2005-1117, 4 Maps: Varied Sizes, https://doi.org/10.3133/ofr20051117.","productDescription":"4 Maps: Varied Sizes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192010,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10415,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1117/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 68,31.5 ], [ 68,33 ], [ 69.75,33 ], [ 69.75,31.5 ], [ 68,31.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc398","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":534908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70258393,"text":"70258393 - 2007 - Radiometric calibration status of Landsat-7 and Landsat-5","interactions":[],"lastModifiedDate":"2024-09-16T16:19:24.155201","indexId":"70258393","displayToPublicDate":"2007-10-17T11:14:50","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric calibration status of Landsat-7 and Landsat-5","docAbstract":"Launched in April 1999, Landsat-7 ETM+ continues to acquire data globally. 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Regular observations of desert targets in the Saharan and Arabian deserts indicate the no change in the ETM+ reflective band response, though the uncertainty is larger and does not preclude the small changes indicated by lamp 2. The thermal band continues to be stable and well-calibrated since an offset error was corrected in late-2000. Launched in 1984, Landsat-5 TM also continues to acquire global data; though without the benefit of an on-board recorder, data can only be acquired where a ground station is within range. Historically, the calibration of the TM reflective bands has used an onboard calibration system with multiple lamps. The calibration procedure for the TM reflective bands was updated in 2003 based on the best estimate at the time, using only one of the three lamps and a cross-calibration with Landsat-7 ETM+. Since then, the Saharan desert sites have been used to validate this calibration model. Problems were found with the lamp based model of up to 13% in band 1. Using the Saharan data, a new model was developed and implemented in the US processing system in April 2007. The TM thermal band was found to have a calibration offset error of 0.092 W/m2 sr µm (0.68K at 300K) based on vicarious calibration data between 1999 and 2006. The offset error was corrected in the US processing system on April 2007 for all data acquired since April 1999.
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