No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of arid and semi-arid lands","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"1st Thematic Conference of International Symposium on Remote Sensing of Environment","conferenceDate":"January 19-25, 1982","conferenceLocation":"Cairo, Egypt","language":"English","publisher":"University of Michigan","usgsCitation":"Smith, S., Mancy, K.H., Latif, A.F., and Fosnight, E.A., 1982, Assessment of sedimentation in the Aswan Reservoir using Landsat imagery, in Remote sensing of arid and semi-arid lands, v. 2, Cairo, Egypt, January 19-25, 1982, p. 727-736.","productDescription":"10 p.","startPage":"727","endPage":"736","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","city":"Aswan","otherGeospatial":"Aswan Dam, Aswan Reservoir, Nile River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 32.87281036376953,\n 23.971665912506854\n ],\n [\n 32.871437072753906,\n 23.96931306632639\n ],\n [\n 32.87538528442383,\n 23.968528774720173\n ],\n [\n 32.87984848022461,\n 23.969156208386973\n ],\n [\n 32.88585662841797,\n 23.971979622085147\n ],\n [\n 32.88087844848633,\n 23.97778311151667\n ],\n [\n 32.881221771240234,\n 23.982645293274707\n ],\n [\n 32.88688659667968,\n 23.98342949894983\n ],\n [\n 32.88740158081055,\n 23.985938925021127\n ],\n [\n 32.87984848022461,\n 23.98562524943639\n ],\n [\n 32.88002014160156,\n 23.98876197089969\n ],\n [\n 32.87881851196289,\n 23.993937394250608\n ],\n [\n 32.88139343261719,\n 23.996760264744914\n ],\n [\n 32.88036346435547,\n 23.998798966043488\n ],\n [\n 32.885684967041016,\n 24.002405819995495\n ],\n [\n 32.8908348083496,\n 24.009148797484734\n ],\n [\n 32.89066314697265,\n 24.012284945659825\n ],\n [\n 32.89529800415039,\n 24.016675424632943\n ],\n [\n 32.894783020019524,\n 24.01855701259118\n ],\n [\n 32.89735794067383,\n 24.02059536847364\n ],\n [\n 32.897186279296875,\n 24.023731237495202\n ],\n [\n 32.89838790893555,\n 24.026396666017327\n ],\n [\n 32.902164459228516,\n 24.02780775285771\n ],\n [\n 32.902164459228516,\n 24.031257011021083\n ],\n [\n 32.904396057128906,\n 24.035019732515995\n ],\n [\n 32.9066276550293,\n 24.0383120234293\n ],\n [\n 32.909202575683594,\n 24.039566207297444\n ],\n [\n 32.90937423706055,\n 24.042074538296006\n ],\n [\n 32.912635803222656,\n 24.04238807622652\n ],\n [\n 32.91658401489258,\n 24.041917769043724\n ],\n [\n 32.917442321777344,\n 24.044426054117228\n ],\n [\n 32.91040420532226,\n 24.045680178282797\n ],\n [\n 32.905426025390625,\n 24.044269287735357\n ],\n [\n 32.90302276611328,\n 24.04097714951158\n ],\n [\n 32.894783020019524,\n 24.035803618957708\n ],\n [\n 32.892208099365234,\n 24.03376550426105\n ],\n [\n 32.88980484008789,\n 24.031884138922187\n ],\n [\n 32.886199951171875,\n 24.029532393511815\n ],\n [\n 32.885169982910156,\n 24.03062988005934\n ],\n [\n 32.8875732421875,\n 24.03345194528425\n ],\n [\n 32.88688659667968,\n 24.035960395672095\n ],\n [\n 32.88139343261719,\n 24.038939116894056\n ],\n [\n 32.863712310791016,\n 24.032668044494443\n ],\n [\n 32.86216735839844,\n 24.03313838554223\n ],\n [\n 32.860107421875,\n 24.02780775285771\n ],\n [\n 32.86542892456055,\n 24.01808661818295\n ],\n [\n 32.86748886108398,\n 24.011030495565823\n ],\n [\n 32.869720458984375,\n 23.9994262522536\n ],\n [\n 32.867317199707024,\n 23.995819314792197\n ],\n [\n 32.86834716796875,\n 23.991271293052655\n ],\n [\n 32.87040710449219,\n 23.981390554262678\n ],\n [\n 32.87281036376953,\n 23.971665912506854\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, S. E.","contributorId":291582,"corporation":false,"usgs":false,"family":"Smith","given":"S. E.","affiliations":[],"preferred":false,"id":842556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mancy, K. H.","contributorId":14344,"corporation":false,"usgs":true,"family":"Mancy","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":842557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latif, A. F. A.","contributorId":291583,"corporation":false,"usgs":false,"family":"Latif","given":"A.","email":"","middleInitial":"F. A.","affiliations":[],"preferred":false,"id":842558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fosnight, Eugene A. 0000-0002-8557-3697 fosnight@usgs.gov","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":2961,"corporation":false,"usgs":true,"family":"Fosnight","given":"Eugene","email":"fosnight@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":842559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160422,"text":"ofr275 - 1982 - Landsat image map of the Al Muwayliḩ quadrangle, sheet 27A, Kingdom of Saudi Arabia","interactions":[],"lastModifiedDate":"2024-10-25T14:32:34.273309","indexId":"ofr275","displayToPublicDate":"1982-01-01T04:00:00","publicationYear":"1982","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":"275","title":"Landsat image map of the Al Muwayliḩ quadrangle, sheet 27A, Kingdom of Saudi Arabia","docAbstract":"No abstract available.
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing for resource management","language":"English","publisher":"Soil Conservation Society of America","usgsCitation":"Bonner, W., Rohde, W.G., and Miller, W.A., 1982, Mapping wildland resources with digital Landsat and terrain data, chap. of Remote sensing for resource management, p. 73-80.","productDescription":"8 p. ","startPage":"73","endPage":"80","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b002dce4b01ccd54fb281f","contributors":{"authors":[{"text":"Bonner, W.J.","contributorId":51157,"corporation":false,"usgs":true,"family":"Bonner","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":671280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohde, W. G.","contributorId":17759,"corporation":false,"usgs":true,"family":"Rohde","given":"W.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":671281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, W. A.","contributorId":100007,"corporation":false,"usgs":true,"family":"Miller","given":"W.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":671282,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70011632,"text":"70011632 - 1982 - Evaluation of 0.46- to 2.36-mu m multispectral scanner images of the east Tintic mining district, Utah, for mapping hydrothermally altered rocks","interactions":[],"lastModifiedDate":"2024-01-12T16:47:28.042972","indexId":"70011632","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of 0.46- to 2.36-mu m multispectral scanner images of the east Tintic mining district, Utah, for mapping hydrothermally altered rocks","docAbstract":"Airborne multispectral scanner images recorded in the 0.46- to 2.36-mu m region for the East Tintic mining district, Utah, were evaluated to determine their usefulness for distinguishing six types of hydrothermally altered rocks from a wide range of sedimentary and igneous rock types. Limestone, dolomite, and argillaceous rocks were of particular interest because these have spectral reflectance features that might make them difficult to separate from some of the altered rocks when these images are used.The laboratory and field evaluation of a color ratio composite image, supported by in situ spectral reflectance measurements and an alteration map compiled from a published map, shows that silicified, argillized, and pyritized rocks can be mapped in detail utilizing an intense OH absorption band centered near 2.2 mu m. This absorption band is absent or weak in most of the unaltered rocks. However, the 2.2-mu m band is also weak in the reflectance spectra representing the other three types of altered rocks--hydrothermal dolomite, calcitic volcanic rocks, and chloritized rocks. Consequently, these altered rocks are not consistently distinguished from unaltered rocks in these images. Furthermore, very pure dolomite spectra have an intense 2.33- mu m CO (super -3) absorption band that is not distinguishable from the 2.2-mu m band in these images; therefore, the pure dolomite exposures were distinguished from the silicified, argillized, and pyritized rocks through field checking. The 2.33-mu m absorption feature is weak in spectra for less pure carbonate rocks. Separation of these altered rocks and local exposures of argillaceous rocks also posed problems because of their mineralogic and hence spectral reflectance similarities.These results are especially important for estimating the potential of the 1.6- and 2.2-mu m bands in the Landsat D thematic mapper for mapping altered rocks. Here, as we found in an earlier study in south-central Nevada, limonite-poor hydrothermally altered rocks that were not consistently distinguished in Landsat multispectral scanner images should be detectable using these two thematic mapper bands in combination with other bands at shorter wave-lengths. However, distinguishing among some hydrothermally altered and unaltered rocks will require other approaches, including analysis of high-spectral resolution measurements in the 2.0- and 2.5-mu m region and multispectral thermal infrared data.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.77.2.441","issn":"03610128","usgsCitation":"Rowan, L.C., and Kahle, A., 1982, Evaluation of 0.46- to 2.36-mu m multispectral scanner images of the east Tintic mining district, Utah, for mapping hydrothermally altered rocks: Economic Geology, v. 77, no. 2, p. 441-452, https://doi.org/10.2113/gsecongeo.77.2.441.","productDescription":"12 p.","startPage":"441","endPage":"452","numberOfPages":"12","costCenters":[],"links":[{"id":221187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","noUsgsAuthors":false,"publicationDate":"1982-04-01","publicationStatus":"PW","scienceBaseUri":"505a0c0ae4b0c8380cd529ec","contributors":{"authors":[{"text":"Rowan, L. C.","contributorId":40584,"corporation":false,"usgs":true,"family":"Rowan","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":361581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kahle, A.B.","contributorId":36928,"corporation":false,"usgs":true,"family":"Kahle","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":361580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70011620,"text":"70011620 - 1982 - Estimating irrigation water use and withdrawal of ground water on the High Plains, U.S.A.","interactions":[],"lastModifiedDate":"2013-01-20T09:17:03","indexId":"70011620","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":661,"text":"Advances in Space Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating irrigation water use and withdrawal of ground water on the High Plains, U.S.A.","docAbstract":"In four decades following the Dust Bowl days of the 1930's, extensive areas of dry farming and rangeland on the semi-arid U.S. High Plains were transformed into a vast region of irrigated oases, producing meat and grain for much of the world. The agricultural economy has experienced such rapid growth in part because of the availability of ground water and because of development of new irrigation technology to use that water for agriculture. However, more water is being used than is being replaced. To estimate both the volume of water withdrawn and the regional scope of the problem a technique has been developed that combines multispectral data from Earth-orbiting satellite with known pumpage data for the same growing season. The location and extent of irrigated cropland-some with different crops watered at different times-is inventoried using computer-assisted analysis of the data from Landsat. The amount of water used is estimated by multiplying and summing surface area of irrigated agriculture and the average measured pumpage from sampled sites. Published findings to date are cited in the Selected References. All suggest transferability of a promising technology to the study of land transformation processes elsewhere. ?? 1983.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Space Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/0273-1177(82)90229-0","issn":"02731177","usgsCitation":"Wray, J.R., 1982, Estimating irrigation water use and withdrawal of ground water on the High Plains, U.S.A.: Advances in Space Research, v. 2, no. 8, p. 127-129, https://doi.org/10.1016/0273-1177(82)90229-0.","startPage":"127","endPage":"129","numberOfPages":"3","costCenters":[],"links":[{"id":220987,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/0273-1177(82)90229-0"}],"volume":"2","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b24e4b0c8380cd525be","contributors":{"authors":[{"text":"Wray, J. R.","contributorId":51851,"corporation":false,"usgs":true,"family":"Wray","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":361560,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70139720,"text":"70139720 - 1982 - Evaluation of AMOEBA: a spectral-spatial classification method","interactions":[],"lastModifiedDate":"2017-05-18T12:39:49","indexId":"70139720","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3860,"text":"Journal of Applied Photographic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of AMOEBA: a spectral-spatial classification method","docAbstract":"Muitispectral remotely sensed images have been treated as arbitrary multivariate spectral data for purposes of clustering and classifying. However, the spatial properties of image data can also be exploited. AMOEBA is a clustering and classification method that is based on a spatially derived model for image data. In an evaluation test, Landsat data were classified with both AMOEBA and a widely used spectral classifier. The test showed that irrigated crop types can be classified as accurately with the AMOEBA method as with the generally used spectral method ISOCLS; the AMOEBA method, however, requires less computer time.
","language":"English","publisher":"Society for Imaging Science and Technology","usgsCitation":"Jenson, S.K., Loveland, T., and Bryant, J., 1982, Evaluation of AMOEBA: a spectral-spatial classification method: Journal of Applied Photographic Engineering, v. 8, no. 3, p. 159-162.","productDescription":"4 p.","startPage":"159","endPage":"162","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1b6e4b02e76d7590be3","contributors":{"authors":[{"text":"Jenson, Susan K.","contributorId":66859,"corporation":false,"usgs":true,"family":"Jenson","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":539611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":539612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, J.","contributorId":138992,"corporation":false,"usgs":false,"family":"Bryant","given":"J.","email":"","affiliations":[],"preferred":false,"id":539613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70011466,"text":"70011466 - 1982 - Computation with physical values from Landsat digital data","interactions":[],"lastModifiedDate":"2017-03-31T13:30:12","indexId":"70011466","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","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":"Computation with physical values from Landsat digital data","docAbstract":"Landsat digital images are commonly analyzed by using the digital numbers for each pixel recorded on a computer-compatible magnetic tape. Although this procedure may be satisfactory when only a single, internally consistent image is used, the procedure may produce incorrect results if more than one image is used for analysis as in mosaics or temporal overlays. The digital numbers for each pixel should be converted to their dimensioned equivalents such as radiance, as measured at the satellite, in milliwatts per square centimetre per steradian, or reflectance.-from Author","language":"English","usgsCitation":"Robinove, C., 1982, Computation with physical values from Landsat digital data: Photogrammetric Engineering and Remote Sensing, v. 48, no. 5, p. 781-784.","productDescription":"4 p.","startPage":"781","endPage":"784","numberOfPages":"4","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":221752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f950e4b0c8380cd4d569","contributors":{"authors":[{"text":"Robinove, C.J.","contributorId":68778,"corporation":false,"usgs":true,"family":"Robinove","given":"C.J.","affiliations":[],"preferred":false,"id":361180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70011462,"text":"70011462 - 1982 - Applications of Landsat imagery to problems of petroleum exploration in Qaidam Basin, China","interactions":[],"lastModifiedDate":"2023-01-10T17:44:30.399186","indexId":"70011462","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Applications of Landsat imagery to problems of petroleum exploration in Qaidam Basin, China","docAbstract":"Tertiary and Quaternary nonmarine, petroleum-bearing sedimentary rocks in the Qaidam basin of remote western China have been extensively deformed by compressive forces. These forces created many folds which are current targets of Chinese exploration programs. Manual techniques of image analysis and interpretation were applied to computer-enhanced Landsat images of the western part of the Qaidam basin in an effort to evaluate the contributions of Landsat imagery in defining the geologic conditions of the basin and to determine its usefulness as an exploration tool in the region. Most success was realized in defining the structural geologic setting of the region.
Image-derived interpretations of folds, strike-slip faults, thrust faults, normal or reverse faults, and fractures compared very favorably, in terms of locations and numbers mapped, with Chinese data compiled from years of extensive field mapping. The image studies resulted in the identification of at least one subsurface fold that had not been detected by field mapping. The results of this study have direct exploration significance. Many potential hydrocarbon trapping structures were precisely located and information was obtained that may have significant implications with respect to fluid migration or attempts to locate offset reservoirs and buried folds. In addition, the orientations of major structural trends defined from Landsat imagery correlate well with those predicted for the area based on global tectonic theory. These correlations suggest that similar orientations exist in the eastern half of the basin where folded rocks are mostly obscured by unconsolidated surface sediments and where limited exploration has occurred.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/03B5A7A0-16D1-11D7-8645000102C1865D","usgsCitation":"Bailey, G., and Anderson, P.D., 1982, Applications of Landsat imagery to problems of petroleum exploration in Qaidam Basin, China: American Association of Petroleum Geologists Bulletin, v. 66, no. 9, p. 1348-1354, https://doi.org/10.1306/03B5A7A0-16D1-11D7-8645000102C1865D.","productDescription":"7 p.","startPage":"1348","endPage":"1354","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":221667,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Qaidam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 85.517578125,\n 32.84267363195431\n ],\n [\n 85.517578125,\n 40.91351257612758\n ],\n [\n 100.634765625,\n 40.91351257612758\n ],\n [\n 100.634765625,\n 32.84267363195431\n ],\n [\n 85.517578125,\n 32.84267363195431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec87e4b0c8380cd4930e","contributors":{"authors":[{"text":"Bailey, G. B.","contributorId":105041,"corporation":false,"usgs":true,"family":"Bailey","given":"G. B.","affiliations":[],"preferred":false,"id":361174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, P. D.","contributorId":91189,"corporation":false,"usgs":true,"family":"Anderson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":361173,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70011450,"text":"70011450 - 1982 - Landsat monitoring of desert vegetation growth, 1972-1979 using a plant-shadowing model","interactions":[],"lastModifiedDate":"2013-01-20T09:18:10","indexId":"70011450","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":661,"text":"Advances in Space Research","active":true,"publicationSubtype":{"id":10}},"title":"Landsat monitoring of desert vegetation growth, 1972-1979 using a plant-shadowing model","docAbstract":"Landsat digital data spanning the period 1972-1979 were analyzed to monitor the status of vegetation within and outside an exclosure in the northern Sinai (precipitation 100-150 mm/year). This 6??6 km exclosure was fenced off in the summer of 1974 and subsequently has been free from the anthropogenic pressures (overgrazing, cultivation in small fields, and harvesting of dry plants as firewood) that continued outside the exclosure. The recovery of the ecosystem within the exclosure is monitored applying a previously tested model. The model quantitatively describes the reduction in the reflectivity to zenith due to shadowing effects by mostly vertical plants. The darkening (reduction in the reflectivity) in the exclosure was compared to the status before the fencing-off and to the essentially unchanging bare sands outside the exclosure. The vegetation protrusion parameter s (sum of the products of plant height times diameter for a unit area of the surface), calculated from Landsat digital data for the exclosure, increased from essentially zero in 1972 and 1973 to about 0.18 in 1975 and changed only within narrow limits from 1975 to 1979. The s value of 0.18 indicates that if the clumps of the plants protruding from the surface in the exclosure were laid horizontally on the soil, they would cover 18 percent of the area. This parameter provides a quantitative measure of the condition of the ecosystem, but the relation to the total green and/or brown biomass remains to be determined. ?? 1983.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Space Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/0273-1177(82)90219-8","issn":"02731177","usgsCitation":"Otterman, J., and Robinove, C., 1982, Landsat monitoring of desert vegetation growth, 1972-1979 using a plant-shadowing model: Advances in Space Research, v. 2, no. 8, p. 45-50, https://doi.org/10.1016/0273-1177(82)90219-8.","startPage":"45","endPage":"50","numberOfPages":"6","costCenters":[],"links":[{"id":221524,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266024,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/0273-1177(82)90219-8"}],"volume":"2","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43ece4b0c8380cd666d8","contributors":{"authors":[{"text":"Otterman, Joseph","contributorId":75683,"corporation":false,"usgs":true,"family":"Otterman","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":361145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinove, C.J.","contributorId":68778,"corporation":false,"usgs":true,"family":"Robinove","given":"C.J.","affiliations":[],"preferred":false,"id":361144,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70142200,"text":"70142200 - 1982 - Assessing mesquite-grass vegetation condition from Landsat","interactions":[],"lastModifiedDate":"2017-01-18T14:48:46","indexId":"70142200","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","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":"Assessing mesquite-grass vegetation condition from Landsat","docAbstract":"Landsat multispectral scanner (MSS) band values, band ratios, and vegetation index models were compared with selected rangeland vegetation parameters collected at six test sites within the honey mesquitellotebushlmixed grass association in north-central Texas. The comparisons at four dates showed that two vegetation index models, TV16 and GVI, are highly correlated (P = 0.01) with green yield, green cover, and plant moisture content. The green vegetation index (GVZ) developed by Kauth and Thomas (1976), was highly correlated and superior to other models in relationship to wet green yield, dry green yield, and cured vegetation cover. TV16, developed by Rouse et al. (1974), was more highly correlated with green vegetation cover and vegetation moisture content. Both TV16 and GVI are superior to other models in their relationship with green cover. None of the Landsat MSS parameters tested was significantly correlated with dry total yield, percent bare ground, or moisture of the soil measured at the surface or at a 20 cm depth. I t is concluded that Landsat MSS data are sensitive to seasonal changes in vegetation growth conditions and inherent ecological differences within a relatively unqorm vegetationlsoil system.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"McDaniel, K.C., and Haas, R.H., 1982, Assessing mesquite-grass vegetation condition from Landsat: Photogrammetric Engineering and Remote Sensing, v. 48, no. 3, p. 441-450.","productDescription":"10 p.","startPage":"441","endPage":"450","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.083984375,\n 25.878994400196202\n ],\n [\n -106.083984375,\n 36.527294814546245\n ],\n [\n -93.69140625,\n 36.527294814546245\n ],\n [\n -93.69140625,\n 25.878994400196202\n ],\n [\n -106.083984375,\n 25.878994400196202\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f597c3e4b02419550d2f3e","contributors":{"authors":[{"text":"McDaniel, Kirk C.","contributorId":139113,"corporation":false,"usgs":false,"family":"McDaniel","given":"Kirk","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":541717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haas, Robert H.","contributorId":93388,"corporation":false,"usgs":true,"family":"Haas","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541718,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70011800,"text":"70011800 - 1982 - A relation between landsat digital numbers, surface reflectance, and the cosine of the solar zenith angle","interactions":[],"lastModifiedDate":"2017-01-18T14:57:38","indexId":"70011800","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A relation between landsat digital numbers, surface reflectance, and the cosine of the solar zenith angle","docAbstract":"A method for estimating the reflectance of ground sites from satellite radiance data is proposed and tested. The method uses the known ground reflectance from several sites and satellite data gathered over a wide range of solar zenith angles. The method was tested on each of 10 different Landsat images using 10 small sites in the Walker Lake, Nevada area. Plots of raw Landsat digital numbers (DNs) versus the cosine of the solar zenith angle (cos Z) for the the test areas are linear, and the average correlation coefficients of the data for Landsat bands 4, 5, 6, and 7 are 0.94, 0.93, 0.94, and 0.94, respectively. Ground reflectance values for the 10 sites are proportional to the slope of the DN versus cos Z relation at each site. The slope of the DN versus cos Z relation for seven additional sites in Nevada and California were used to estimate the ground reflectances of those sites. The estimates for nearby sites are in error by an average of 1.2% and more distant sites are in error by 5.1%. The method can successfully estimate the reflectance of sites outside the original scene, but extrapolation of the reflectance estimation equations to other areas may violate assumptions of atmospheric homogeneity.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/0034-4257(82)90006-2","issn":"00344257","usgsCitation":"Kowalik, W.S., Marsh, S.E., and Lyon, R.J., 1982, A relation between landsat digital numbers, surface reflectance, and the cosine of the solar zenith angle: Remote Sensing of Environment, v. 12, no. 1, p. 39-55, https://doi.org/10.1016/0034-4257(82)90006-2.","productDescription":"17 p.","startPage":"39","endPage":"55","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":220993,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Walker Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.78280639648438,\n 38.60721278935162\n ],\n [\n -118.78280639648438,\n 38.79369731838258\n ],\n [\n -118.63861083984376,\n 38.79369731838258\n ],\n [\n -118.63861083984376,\n 38.60721278935162\n ],\n [\n -118.78280639648438,\n 38.60721278935162\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e545e4b0c8380cd46c5c","contributors":{"authors":[{"text":"Kowalik, William S.","contributorId":11609,"corporation":false,"usgs":true,"family":"Kowalik","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":361982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsh, Stuart E.","contributorId":43616,"corporation":false,"usgs":true,"family":"Marsh","given":"Stuart","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":361984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyon, Ronald J. P.","contributorId":75067,"corporation":false,"usgs":true,"family":"Lyon","given":"Ronald","email":"","middleInitial":"J. P.","affiliations":[],"preferred":false,"id":361983,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70011882,"text":"70011882 - 1982 - Mapping of ultramafic rocks in a heavily vegetated terrain using Landsat data","interactions":[],"lastModifiedDate":"2024-01-12T16:39:00.273526","indexId":"70011882","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping of ultramafic rocks in a heavily vegetated terrain using Landsat data","docAbstract":"No abstract available.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.77.7.1755","issn":"03610128","usgsCitation":"Raines, G.L., and Wynn, J.C., 1982, Mapping of ultramafic rocks in a heavily vegetated terrain using Landsat data: Economic Geology, v. 77, no. 7, p. 1755-1761, https://doi.org/10.2113/gsecongeo.77.7.1755.","productDescription":"7 p.","startPage":"1755","endPage":"1761","numberOfPages":"7","costCenters":[],"links":[{"id":221137,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"7","noUsgsAuthors":false,"publicationDate":"1982-11-01","publicationStatus":"PW","scienceBaseUri":"505a506be4b0c8380cd6b6b0","contributors":{"authors":[{"text":"Raines, G. L.","contributorId":90720,"corporation":false,"usgs":true,"family":"Raines","given":"G.","middleInitial":"L.","affiliations":[],"preferred":false,"id":362195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, J. C.","contributorId":38544,"corporation":false,"usgs":true,"family":"Wynn","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":362194,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70140554,"text":"70140554 - 1982 - An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans","interactions":[],"lastModifiedDate":"2017-01-18T14:53:11","indexId":"70140554","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans","docAbstract":"In the past decade, numerous studies have demonstrated the potential of satellite remote sensing for providing accurate timely crop area information. This study assessed the impact of Landsat data acquisition history on classification and area estimation accuracy of corn and soybeans in the U.S. Corn Belt. The results illustrate the importance of selecting Landsat acquisitions based on spectral differences in crops at certain development stages. Although early season information can provide estimates of total corn and soybean areas, acquisitions from about emergence and after tasseling of the corn seem to provide a minimal set for accurate identification of corn and soybeans in the U.S. Corn Belt. Additional acquisitions provide only marginally greater separability for corn and soybeans.
","language":"English","publisher":"Elsevier","doi":"10.1016/0034-4257(82)90032-3","usgsCitation":"Hixson, M.M., Bauer, M.E., and Scholz, D.K., 1982, An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans: Remote Sensing of Environment, v. 12, no. 2, p. 123-128, https://doi.org/10.1016/0034-4257(82)90032-3.","productDescription":"6 p.","startPage":"123","endPage":"128","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":480554,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/19810003993","text":"External Repository"},{"id":297835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Corn Belt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.974609375,\n 39.027718840211605\n ],\n [\n -103.974609375,\n 49.03786794532644\n ],\n [\n -80.33203125,\n 49.03786794532644\n ],\n [\n -80.33203125,\n 39.027718840211605\n ],\n [\n -103.974609375,\n 39.027718840211605\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b2de4b08de9379b3290","contributors":{"authors":[{"text":"Hixson, M. M.","contributorId":139114,"corporation":false,"usgs":false,"family":"Hixson","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":540062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauer, M. E.","contributorId":35605,"corporation":false,"usgs":true,"family":"Bauer","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":540063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholz, Donna K.","contributorId":105135,"corporation":false,"usgs":true,"family":"Scholz","given":"Donna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":540064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70140558,"text":"70140558 - 1982 - Characterization of tropospheric desert aerosols at solar wavelengths by multispectral radiometry from Landsat","interactions":[],"lastModifiedDate":"2017-01-18T14:52:32","indexId":"70140558","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of tropospheric desert aerosols at solar wavelengths by multispectral radiometry from Landsat","docAbstract":"Characteristics of tropospheric desert aerosols are derived by comparing nadir spectral reflectivities computed from the radiative transfer models with reflectivities measured from Landsat. Over the ocean, reflectivities are compared, but over land the comparison is carried out by determining the ratios of the nadir reflectivity of the surface-atmosphere system over heavy aerosol concentration to the reflectivity of the underlying surface. This remote sensing technique is found to be a sensitive approach for measuring n2, the imaginary part of the refractive index. The desert aerosols under study, in the Iran and Pakistan area, are essentially pure scatterers, inasmuch as an n2 value of 0.001±0.001 was determined for each of the four Landsat spectral bands, that is, for a spectral interval from 0.5 to 1.1 μm.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/JC087iC02p01270","usgsCitation":"Otterman, J., Fraser, R.S., and Bahethi, O.P., 1982, Characterization of tropospheric desert aerosols at solar wavelengths by multispectral radiometry from Landsat: Journal of Geophysical Research C: Oceans, v. 87, no. 2, p. 1270-1278, https://doi.org/10.1029/JC087iC02p01270.","productDescription":"9 p.","startPage":"1270","endPage":"1278","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":297839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"54dd2b56e4b08de9379b3325","contributors":{"authors":[{"text":"Otterman, Joseph","contributorId":75683,"corporation":false,"usgs":true,"family":"Otterman","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":540073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fraser, R. S.","contributorId":19717,"corporation":false,"usgs":true,"family":"Fraser","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":540074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bahethi, O. P.","contributorId":139115,"corporation":false,"usgs":false,"family":"Bahethi","given":"O.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":540075,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139919,"text":"70139919 - 1982 - Refining Landsat classification results using digital terrain data","interactions":[],"lastModifiedDate":"2017-01-18T14:55:45","indexId":"70139919","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3860,"text":"Journal of Applied Photographic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Refining Landsat classification results using digital terrain data","docAbstract":"Scientists at the U.S. Geological Survey's Earth Resources Observation systems (EROS) Data Center have recently completed two land-cover mapping projects in which digital terrain data were used to refine Landsat classification results. Digital ter rain data were incorporated into the Landsat classification process using two different procedures that required developing decision criteria either subjectively or quantitatively. The subjective procedure was used in a vegetation mapping project in Arizona, and the quantitative procedure was used in a forest-fuels mapping project in Montana. By incorporating digital terrain data into the Landsat classification process, more spatially accurate landcover maps were produced for both projects.
","language":"English","publisher":"Society for Imaging Science and Technology","usgsCitation":"Miller, W.A., and Shasby, M., 1982, Refining Landsat classification results using digital terrain data: Journal of Applied Photographic Engineering, v. 8, no. 1, p. 35-40.","productDescription":"6 p.","startPage":"35","endPage":"40","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1bde4b02e76d7590bf9","contributors":{"authors":[{"text":"Miller, Wayne A. wamiller@usgs.gov","contributorId":1123,"corporation":false,"usgs":true,"family":"Miller","given":"Wayne","email":"wamiller@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":539685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shasby, Mark shasbym@usgs.gov","contributorId":223,"corporation":false,"usgs":true,"family":"Shasby","given":"Mark","email":"shasbym@usgs.gov","affiliations":[],"preferred":false,"id":539686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70011446,"text":"70011446 - 1982 - Space platform albedo measurements as indicators of change in arid lands","interactions":[],"lastModifiedDate":"2013-01-20T09:19:26","indexId":"70011446","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":661,"text":"Advances in Space Research","active":true,"publicationSubtype":{"id":10}},"title":"Space platform albedo measurements as indicators of change in arid lands","docAbstract":"The change in albedo of arid lands is an indicator of changes in their condition and quality, including density of vegetative cover, erosion, deposition, surficial soil moisture, and man-made change. In general, darkening of an arid land surface indicates an increase in land quality while brightening indicates a decrease in quality, primarily owing to changes in vegetation. Landsat multiband images taken on different dates can be converted to black-and-white albedo images. Subtraction of one image from another, pixel by pixel, results in an albedo change map that can be density sliced to show areas that have brightened or darkened by selected percentages. These maps are then checked in the field to determine the reasons for the changes and to evaluate the changes in land condition and quality. The albedo change mapping technique has been successfully used in the arid lands of western Utah and northern Arizona and has recently been used for detection of coal strip mining activities in northern Alabama. ?? 1983.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Space Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/0273-1177(82)90217-4","issn":"02731177","usgsCitation":"Robinove, C., 1982, Space platform albedo measurements as indicators of change in arid lands: Advances in Space Research, v. 2, no. 8, p. 31-35, https://doi.org/10.1016/0273-1177(82)90217-4.","startPage":"31","endPage":"35","numberOfPages":"5","costCenters":[],"links":[{"id":221367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266025,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/0273-1177(82)90217-4"}],"volume":"2","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9406e4b08c986b31a7fb","contributors":{"authors":[{"text":"Robinove, C.J.","contributorId":68778,"corporation":false,"usgs":true,"family":"Robinove","given":"C.J.","affiliations":[],"preferred":false,"id":361111,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142603,"text":"70142603 - 1982 - Implications of the Precambrian lineaments on the Red Sea tectonics based on Landsat study of northeast Sudan","interactions":[],"lastModifiedDate":"2023-11-29T16:34:32.716763","indexId":"70142603","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1843,"text":"Global Tectonics and Metallogeny","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the Precambrian lineaments on the Red Sea tectonics based on Landsat study of northeast Sudan","docAbstract":"Lineament analysis of a Landsat Imagery mosaic (scale 1:1,000,000) of northeast Sugdan indicate significant curvilinear as well as rectilinear fracture patterns of possible Precambrian age. Rectilinear features trend dominantly in N-S (± 10°), NNW and ENE, and less commonly in NW and EW directions. The Precambrian fractures closely match, and have possibly accommodated the Tertiary structures of the Red Sea rift.
\nProjection of the ENE continental fractures offshore on the basis of a modified trend due to rift movements, and \"principle of equidistances,\" corresponds with apparently more precise locations of possible transverse faults. Projections of the proposed transverse faults generally conform with breaks in bathymetric contours, and azimuth trend of the axial trough. Hot brine pools, shallow focus epicenters and anomalous heat flow measurements, all tend to lie at or close to the intersection of the transverse faults and axis of the deep waters. The transverse faults exhibit a general N35-50°E trend as compared with the N60-70_Etrend of the ancestor continental fractures. Deflection in trend caused by faults coinciding with the presnet shore line, may indicate lateral displacement prior to the initial hase of rifting in Miocene times. It also supports the hypothesis of a \"two-phase rifting\" of the Red Sea. Spreading movements proposed along transverse faults with trend values exceeding N50°E may not be applicable, at least for the more recent separation movements.
","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/gtm/1/1982/326","usgsCitation":"Ahmed, F., 1982, Implications of the Precambrian lineaments on the Red Sea tectonics based on Landsat study of northeast Sudan: Global Tectonics and Metallogeny, v. 1, no. 4, p. 326-335, https://doi.org/10.1127/gtm/1/1982/326.","productDescription":"10 p.","startPage":"326","endPage":"335","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298357,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sudan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 22.0166015625,\n 9.44906182688142\n ],\n [\n 22.0166015625,\n 21.90227796666864\n ],\n [\n 37.9248046875,\n 21.90227796666864\n ],\n [\n 37.9248046875,\n 9.44906182688142\n ],\n [\n 22.0166015625,\n 9.44906182688142\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec432e4b02419550debc2","contributors":{"authors":[{"text":"Ahmed, F.","contributorId":139599,"corporation":false,"usgs":false,"family":"Ahmed","given":"F.","email":"","affiliations":[],"preferred":false,"id":541997,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142599,"text":"70142599 - 1982 - Use of Landsat data to evaluate lesser prairie chicken habitats in western Oklahoma","interactions":[],"lastModifiedDate":"2017-01-18T14:47:40","indexId":"70142599","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","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":"Use of Landsat data to evaluate lesser prairie chicken habitats in western Oklahoma","docAbstract":"Landsat digital data were used to evaluate lesser prairie chicken (Tympanuchus pallidicinctus) habitats in western Oklahoma. Data for 7 (4,144 ha) study areas, 4 in shinnery oak (Quercus havardii), and 3 in sand sagebrush (Artemisia filifolia) rangeland, were analyzed using the Interactive Digital Image Manipulation System at the EROS Center. In shinnery oak rangeland, density of displaying males was correlated positively with percentage of area in grassland classes and negatively correlated with the percentage in brushland classes. In sand sagebrush rangeland, density of displaying males was negatively, but not significantly correlated with percentage of area in bare soil and grassland classes, and positively, but not significantly correlated with percentage of area in brushland classes. The trends found between density of displaying males and the Landsat-generated resource classes closely parallel similar relationships found with field sampling techniques. Analysis of the Landsat digital data for this study cost 13.8 cents/ha. Because larger areas could have been analyzed with the same digital data, the unit cost for analysis would decline with increasingly larger areas.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Cannon, R.W., Knopf, F., and Pettinger, L.R., 1982, Use of Landsat data to evaluate lesser prairie chicken habitats in western Oklahoma: Photogrammetric Engineering and Remote Sensing, v. 46, no. 4, p. 915-922.","productDescription":"8 p.","startPage":"915","endPage":"922","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298350,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/3808224"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.4697265625,\n 34.939985151560435\n ],\n [\n -101.4697265625,\n 37.00255267215955\n ],\n [\n -97.734375,\n 37.00255267215955\n ],\n [\n -97.734375,\n 34.939985151560435\n ],\n [\n -101.4697265625,\n 34.939985151560435\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec43ee4b02419550debeb","contributors":{"authors":[{"text":"Cannon, Richard W.","contributorId":24293,"corporation":false,"usgs":true,"family":"Cannon","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":541984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knopf, Fritz L.","contributorId":30549,"corporation":false,"usgs":true,"family":"Knopf","given":"Fritz L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":541985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pettinger, Lawrence R.","contributorId":18274,"corporation":false,"usgs":true,"family":"Pettinger","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":541986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142588,"text":"70142588 - 1982 - Landsat classification accuracy assessment procedures","interactions":[],"lastModifiedDate":"2017-01-18T14:47:59","indexId":"70142588","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","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 classification accuracy assessment procedures","docAbstract":"A working conference was held in Sioux Falls, South Dakota, 12-14 November, 1980 dealing with Landsat classification Accuracy Assessment Procedures. Thirteen formal presentations were made on three general topics: (1) sampling procedures, (2) statistical analysis techniques, and (3) examples of projects which included accuracy assessment and the associated costs, logistical problems, and value of the accuracy data to the remote sensing specialist and the resource manager. Nearly twenty conference attendees participated in two discussion sessions addressing various issues associated with accuracy assessment. This paper presents an account of the accomplishments of the conference.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Mead, R.R., and Szajgin, J., 1982, Landsat classification accuracy assessment procedures: Photogrammetric Engineering and Remote Sensing, v. 48, no. 1, p. 139-141.","productDescription":"3 p.","startPage":"139","endPage":"141","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec433e4b02419550debca","contributors":{"authors":[{"text":"Mead, R. R.","contributorId":139594,"corporation":false,"usgs":false,"family":"Mead","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":541958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szajgin, John","contributorId":60203,"corporation":false,"usgs":true,"family":"Szajgin","given":"John","email":"","affiliations":[],"preferred":false,"id":541959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70140564,"text":"70140564 - 1982 - Oahu: perspective from space","interactions":[],"lastModifiedDate":"2017-01-18T14:52:13","indexId":"70140564","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2306,"text":"Journal of Geography","active":true,"publicationSubtype":{"id":10}},"title":"Oahu: perspective from space","docAbstract":"Satellite remote sensing provides us with a unique perspective from space. This perspective is synoptic in nature and provides regional views of most of the land areas of the earth. The orbital characteristics of the Landsat system are such that repetitive imagery of the same area may be obtained. Because of the permanent nature of the imagery, it may be retrieved for comparative analysis at any time. Comparisons of this image of Oahu with maps of the island (for example, the Oahu, Hawaii, 1:250,000-scale topographic map) will enable the reader to readily identify the place names discussed in this article and permit a more detailed interpretation of the image.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00221348208980248","usgsCitation":"Johnson, G., 1982, Oahu: perspective from space: Journal of Geography, v. 81, no. 1, p. 30-32, https://doi.org/10.1080/00221348208980248.","productDescription":"3 p.","startPage":"30","endPage":"32","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":297846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.31298828125,\n 21.24074244508678\n ],\n [\n -158.31298828125,\n 21.728885873951484\n ],\n [\n -157.6043701171875,\n 21.728885873951484\n ],\n [\n -157.6043701171875,\n 21.24074244508678\n ],\n [\n -158.31298828125,\n 21.24074244508678\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-09-25","publicationStatus":"PW","scienceBaseUri":"54dd2c1be4b08de9379b362b","contributors":{"authors":[{"text":"Johnson, Gary E.","contributorId":65007,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary E.","affiliations":[],"preferred":false,"id":540124,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160687,"text":"70160687 - 1981 - Landsat image map of the Al Muwayh quadrangle, sheet 22E, Kingdom of Saudi Arabia","interactions":[],"lastModifiedDate":"2015-12-28T20:35:32","indexId":"70160687","displayToPublicDate":"2008-12-29T00:00:00","publicationYear":"1981","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Landsat image map of the Al Muwayh quadrangle, sheet 22E, Kingdom of Saudi Arabia","docAbstract":"Saudi Arabian Mission
Miscellaneous Map 21
Interagency Report 321
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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"U.S. Geological Survey, and Saudi Arabia. Mudīrīyah al-ʻĀmmah lil-Tharwah al-Maʻdinīyah, 1981, Landsat image map of the Makkah quadrangle, sheet 21D, Kingdom of Saudi Arabia, 21.26 x 33.46 inches.","productDescription":"21.26 x 33.46 inches","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":312958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"scale":"250000","projection":"Transverse Mercator","country":"Saudi Arabia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 38.92,\n 22\n ],\n [\n 38.92,\n 21\n ],\n [\n 40.5,\n 21\n ],\n [\n 40.5,\n 22\n ],\n [\n 38.92,\n 22\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56826b44e4b0a04ef4925b66","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128240,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":583546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saudi Arabia. Mudīrīyah al-ʻĀmmah lil-Tharwah al-Maʻdinīyah","contributorId":147334,"corporation":true,"usgs":false,"organization":"Saudi Arabia. Mudīrīyah al-ʻĀmmah lil-Tharwah al-Maʻdinīyah","id":583547,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160685,"text":"70160685 - 1981 - Landsat image map of the Al Līth quadrangle, sheet 20D, Kingdom of Saudi Arabia","interactions":[],"lastModifiedDate":"2015-12-28T20:28:51","indexId":"70160685","displayToPublicDate":"2008-12-28T04:00:00","publicationYear":"1981","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Landsat image map of the Al Līth quadrangle, sheet 20D, Kingdom of Saudi Arabia","docAbstract":"Saudi Arabian Mission
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