{"pageNumber":"55","pageRowStart":"1350","pageSize":"25","recordCount":1873,"records":[{"id":70018325,"text":"70018325 - 1993 - Oblique synoptic images, produced from digital data, display strong evidence of a \"new\" caldera in southwestern Guatemala","interactions":[],"lastModifiedDate":"2012-03-12T17:19:24","indexId":"70018325","displayToPublicDate":"1993-01-01T00:00:00","publicationYear":"1993","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Oblique synoptic images, produced from digital data, display strong evidence of a \"new\" caldera in southwestern Guatemala","docAbstract":"The synoptic view of broad regions of the Earth's surface as displayed in Landsat and other satellite images has greatly aided in the recognition of calderas, ignimbrite plateaus and other geologic landforms. Remote-sensing images that include visual representation of depth are an even more powerful tool for geologic interpretation of landscapes, but their use has been largely restricted to the exploration of planets other than Earth. By combining Landsat images with digitized topography, we have generated regional oblique views that display compelling evidence for a previously undocumented late-Cenozoic caldera within the active volcanic zone of southwestern Guatemala. This \"new\" caldera, herein called Xela, is a depression about 30 km wide and 400-600 m deep, which includes the Quezaltenango basin. The caldera depression is breached only by a single river canyon. The caldera outline is broadly circular, but a locally scalloped form suggests the occurrence of multiple caldera-collapse events, or local slumping of steep caldera walls, or both. Within its northern part, Xela caldera contains a toreva block, about 500 m high and 2 km long, that may be incompletely foundered pre-caldera bedrock. Xela contains several post-caldera volcanoes, some of which are active. A Bouguer gravity low, tens of milligals in amplitude, is approximately co-located with the proposed caldera. The oblique images also display an extensive plateau that dips about 2?? away from the north margin of Xela caldera. We interpret this landform to be underlain by pyroclastic outflow from Xela and nearby Atitla??n calderas. Field mapping by others has documented a voluminous rhyolitic pumiceous fallout deposit immediately east of Xela caldera. We speculate that Xela caldera was the source of this deposit. If so, the age of at least part of the caldera is between about 84 ka and 126 ka, the ages of deposits that stratigraphically bracket this fallout. Most of the floor of Xela caldera is covered with Los Chocoyos pyroclastics, 84-ka deposits erupted from Atitla??n caldera. Oblique images produced from digital data are unique tools that can greatly facilitate initial geologic interpretation of morphologically young volcanic (and other) terrains where field access is limited, especially because conventional visual representations commonly lack depth perspective and may cover only part of the region of interest. ?? 1993.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"03770273","usgsCitation":"Duffield, W., Heiken, G., Foley, D., and McEwen, A., 1993, Oblique synoptic images, produced from digital data, display strong evidence of a \"new\" caldera in southwestern Guatemala: Journal of Volcanology and Geothermal Research, v. 55, no. 3-4, p. 217-224.","startPage":"217","endPage":"224","numberOfPages":"8","costCenters":[],"links":[{"id":227022,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6a4fe4b0c8380cd740e5","contributors":{"authors":[{"text":"Duffield, W.","contributorId":42715,"corporation":false,"usgs":true,"family":"Duffield","given":"W.","affiliations":[],"preferred":false,"id":379237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heiken, G.","contributorId":11768,"corporation":false,"usgs":true,"family":"Heiken","given":"G.","email":"","affiliations":[],"preferred":false,"id":379234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, D.","contributorId":29356,"corporation":false,"usgs":true,"family":"Foley","given":"D.","affiliations":[],"preferred":false,"id":379235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEwen, A.","contributorId":39105,"corporation":false,"usgs":true,"family":"McEwen","given":"A.","affiliations":[],"preferred":false,"id":379236,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195916,"text":"70195916 - 1993 - Antarctic glacier-tongue velocities from Landsat images: First results","interactions":[],"lastModifiedDate":"2018-10-31T16:50:12","indexId":"70195916","displayToPublicDate":"1993-01-01T00:00:00","publicationYear":"1993","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":794,"text":"Annals of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Antarctic glacier-tongue velocities from Landsat images: First results","docAbstract":"<p><span>We measured the velocities of six glacier tongues and a few tongues within ice shelves distributed around the Antarctic coastline by determining the displacement of crevasse patterns seen on sequential Landsat images. The velocities range from less than 0.2 km a</span><span class=\"sup\">−1</span><span><span>&nbsp;</span>for East Antarctic ice-shelf tongues to more than 2.5 km a</span><span class=\"sup\">−1</span><span><span>&nbsp;</span>for the Thwaites Glacier Tongue. All glacier tongues show increases in velocity toward their distal margins. In general, the tongues of glaciers draining the West Antarctic ice sheet have moved significantly faster than those in East Antarctica. This observation may be significant in light of the hypothesized possible disintegration of the West Antarctic ice sheet.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.3189/S0260305500013100","usgsCitation":"Lucchitta, B.K., Mullins, K., Allison, A., and Ferrigno, J.G., 1993, Antarctic glacier-tongue velocities from Landsat images: First results: Annals of Glaciology, v. 17, p. 356-366, https://doi.org/10.3189/S0260305500013100.","productDescription":"11 p.","startPage":"356","endPage":"366","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":479505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/s0260305500013100","text":"Publisher Index Page"},{"id":352317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","volume":"17","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5aff25b0e4b0da30c1bfd6ee","contributors":{"authors":[{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":730486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullins, K.F.","contributorId":10741,"corporation":false,"usgs":false,"family":"Mullins","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":730487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allison, A.L.","contributorId":47699,"corporation":false,"usgs":false,"family":"Allison","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":730488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":730489,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":16580,"text":"ofr92545 - 1992 - Preliminary geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula","interactions":[{"subject":{"id":16580,"text":"ofr92545 - 1992 - Preliminary geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula","indexId":"ofr92545","publicationYear":"1992","noYear":false,"title":"Preliminary geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula"},"predicate":"SUPERSEDED_BY","object":{"id":32131,"text":"ofr97866 - 1997 - Revised geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula","indexId":"ofr97866","publicationYear":"1997","noYear":false,"title":"Revised geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula"},"id":1}],"supersededBy":{"id":32131,"text":"ofr97866 - 1997 - Revised geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula","indexId":"ofr97866","publicationYear":"1997","noYear":false,"title":"Revised geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula"},"lastModifiedDate":"2023-09-28T22:07:26.716494","indexId":"ofr92545","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","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":"92-545","title":"Preliminary geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula","docAbstract":"<p>This map of the Cold Bay and False Pass 1:250,000-scale quadrangles on the Alaska Peninsula is a compilation based in part on the mapping conducted as part of the Alaska Mineral Resource Assessment Program (AMRAP) and the Geothermal Energy Program. Field studies by the authors began as early as 1973 in the quadrangles, but systematic mapping was not begun until 1988. Systematic mapping remains to be completed for much of the southwest part of the map area and the vicinity of southeastern Cold Bay. Previous geologic mapping in the region, which constitutes an invaluable data base for our studies, was conducted by Kennedy and Waldron (1955). Waldron (1961). Burk (1965). McLean and others (1978), and DuBois and others, 1989.</p><p>Most of the new mapping for this map was done by helicopter-supported foot-traverses and with helicopter spot landings. Coverage of areas between surface observations was made using helicopter overflights and interpretation of vertical aerial photography and Landsat imagery. Field investigations were conducted from bases at Cold Bay (1990), King Cove (1988), and False Pass (1991). In addition, some field work in 1984 was also conducted using the U.S. Geological Survey Research Vessel Don J. Miller II in the vicinity of Belkofski Bay.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr92545","usgsCitation":"Wilson, F.H., Miller, T.P., and Detterman, R.L., 1992, Preliminary geologic map of the Cold Bay and False Pass quadrangles, Alaska Peninsula: U.S. Geological Survey Open-File Report 92-545, Report: 10 p.; 1 Plate: 34.89 x 48.49 inches, https://doi.org/10.3133/ofr92545.","productDescription":"Report: 10 p.; 1 Plate: 34.89 x 48.49 inches","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"links":[{"id":421364,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1992/0545/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":421363,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1992/0545/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":148438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1992/0545/report-thumb.jpg"},{"id":397590,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_19151.htm"}],"scale":"250000","projection":"Universal Transverse Mercator","country":"United States","state":"Alaska","otherGeospatial":"Cold Bay Quadrangle, False Pass Quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164,\n              54\n            ],\n            [\n              -161.5,\n              54\n            ],\n            [\n              -161.5,\n              56\n            ],\n            [\n              -164,\n              56\n            ],\n            [\n              -164,\n              54\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bb32","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":173100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Thomas P. tmiller@usgs.gov","contributorId":4183,"corporation":false,"usgs":true,"family":"Miller","given":"Thomas","email":"tmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":173101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detterman, Robert L.","contributorId":71526,"corporation":false,"usgs":true,"family":"Detterman","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":173102,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":4263,"text":"cir1082 - 1992 - The Conterminous United States Mineral Assessment Program: Background information to accompany folio of geologic, geochemical, geophysical, and mineral resource maps of the Ajo and Lukeville 1° by 2° quadrangles, Arizona","interactions":[],"lastModifiedDate":"2021-11-08T21:00:36.27301","indexId":"cir1082","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1082","title":"The Conterminous United States Mineral Assessment Program: Background information to accompany folio of geologic, geochemical, geophysical, and mineral resource maps of the Ajo and Lukeville 1° by 2° quadrangles, Arizona","docAbstract":"<p>Encompassing about 21,000 km<sup>2</sup> in southwestern Arizona, the Ajo and Lukeville 1° by 2°&nbsp; quadrangles have been the subject of mineral resource investigations utilizing field and laboratory studies in the disciplines of geology, geochemistry, geophysics, and Landsat imagery. The results of these studies are published as a folio of maps, figures, and tables, with accompanying discussions. Past mineral production has been limited to copper from the Ajo Mining District. In addition to copper, the quadrangles contain potentially significant resources of gold and silver; a few other commodities, including molybdenum and evaporites, may also exist in the area as appreciable resources. This circular provides background information on the mineral deposits and on the investigations and integrates the information presented in the folio. The bibliography cites references to the geology, geochemistry, geophysics, and mineral deposits of the two quadrangles.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1082","usgsCitation":"Gray, F., Tosdal, R., Peterson, J., Cox, D.P., Miller, R.J., Klein, D.P., Theobald, P., Haxel, G.B., Grubensky, M., Raines, G.L., Barton, H.N., Singer, D., and Eppinger, R., 1992, The Conterminous United States Mineral Assessment Program: Background information to accompany folio of geologic, geochemical, geophysical, and mineral resource maps of the Ajo and Lukeville 1° by 2° quadrangles, Arizona: U.S. Geological Survey Circular 1082, iv, 27 p., https://doi.org/10.3133/cir1082.","productDescription":"iv, 27 p.","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":391483,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_24151.htm"},{"id":31375,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1992/1082/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":117489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1992/1082/report-thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Ajo and Lukeville 1° by 2° quadrangles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114,\n              31.625\n            ],\n            [\n              -112,\n              31.625\n            ],\n            [\n              -112,\n              33\n            ],\n            [\n              -114,\n              33\n            ],\n            [\n              -114,\n              31.625\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67ec91","contributors":{"authors":[{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":148613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tosdal, R. M.","contributorId":54982,"corporation":false,"usgs":true,"family":"Tosdal","given":"R. M.","affiliations":[],"preferred":false,"id":148617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, J.A.","contributorId":76308,"corporation":false,"usgs":true,"family":"Peterson","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":148620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox, D. P.","contributorId":82689,"corporation":false,"usgs":true,"family":"Cox","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":148622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, R. J.","contributorId":9225,"corporation":false,"usgs":true,"family":"Miller","given":"R.","middleInitial":"J.","affiliations":[],"preferred":false,"id":148614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klein, D. P.","contributorId":36555,"corporation":false,"usgs":true,"family":"Klein","given":"D.","email":"","middleInitial":"P.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":148615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theobald, P. K.","contributorId":45293,"corporation":false,"usgs":true,"family":"Theobald","given":"P. K.","affiliations":[],"preferred":false,"id":148616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haxel, G. B.","contributorId":71503,"corporation":false,"usgs":true,"family":"Haxel","given":"G.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":148619,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grubensky, M. J.","contributorId":77975,"corporation":false,"usgs":true,"family":"Grubensky","given":"M. J.","affiliations":[],"preferred":false,"id":148621,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Raines, G. L.","contributorId":90720,"corporation":false,"usgs":true,"family":"Raines","given":"G.","middleInitial":"L.","affiliations":[],"preferred":false,"id":148623,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barton, H. N.","contributorId":99546,"corporation":false,"usgs":true,"family":"Barton","given":"H.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":148624,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Singer, D.A.","contributorId":69128,"corporation":false,"usgs":true,"family":"Singer","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":148618,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Eppinger, R. G.","contributorId":100837,"corporation":false,"usgs":true,"family":"Eppinger","given":"R. G.","affiliations":[],"preferred":false,"id":148625,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":29283,"text":"wri924117 - 1992 - Evaluation of the use of remote-sensing data to identify crop types and estimate irrigated acreage, Uvalde and Medina counties, Texas, 1989","interactions":[],"lastModifiedDate":"2016-08-16T10:42:33","indexId":"wri924117","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"92-4117","title":"Evaluation of the use of remote-sensing data to identify crop types and estimate irrigated acreage, Uvalde and Medina counties, Texas, 1989","docAbstract":"<p>Remote-sensing data were used to estimate that 190,000 acre-feet of water was pumped from the Edwards aquifer in 1989 to irrigate crops in Uvalde and Medina Counties. Landsat digital satellite images for March and July 1989 were combined and classified to identify the areas of crops irrigated with water from the Edwards aquifer in the two counties. Normalized difference, the difference between the infrared and red reflectance values divided by the total of those values, was used to discriminate vegetative from nonvegetative ground cover. The images subsequently were classified using maximum likelihood, an unsupervised classification procedure. Detailed vegetation distribution maps of two calibration sites in the study area, and boundaries of the areas probably irrigated in 1989, helped to interpret the results and to separate probable irrigated areas from the rest of the image.</p>\n<p>Results were verified using crop acreages reported by the U.S. Department of Agriculture, Agricultural Stabilization and Conservation Service (ASCS). The total areas for all irrigated crops estimated using remote-sensing data were about 8 percent higher for Uvalde County and about 4 percent higher for Medina County than the areas reported by the ASCS. Irrigated-crop areas subsequently were multiplied by the respective duties of water to calculate the total quantity of water pumped from the aquifer for irrigation. Pumpage did not differ for the two estimates of crop areas for Uvalde County and differed by about 3 percent for Medina County.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Austin, TX","doi":"10.3133/wri924117","collaboration":"Prepared in cooperation with the Edwards Underground Water District","usgsCitation":"Raymond, L., Nalley, G., and Rettman, P., 1992, Evaluation of the use of remote-sensing data to identify crop types and estimate irrigated acreage, Uvalde and Medina counties, Texas, 1989: U.S. Geological Survey Water-Resources Investigations Report 92-4117, iv, 21 p., https://doi.org/10.3133/wri924117.","productDescription":"iv, 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":118807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1992/4117/report-thumb.jpg"},{"id":58128,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1992/4117/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","county":"Medina County, Uvalde County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.8056,29.6968],[-98.8042,29.2513],[-98.8039,29.0884],[-99.4107,29.087],[-99.6813,29.0872],[-100.1119,29.0844],[-100.1112,29.3486],[-100.111,29.6236],[-100.0145,29.6237],[-99.6173,29.6257],[-99.6033,29.6257],[-99.4132,29.6253],[-99.0103,29.6187],[-98.9909,29.6185],[-98.982,29.6148],[-98.9794,29.6129],[-98.9789,29.6102],[-98.9779,29.606],[-98.9801,29.5983],[-98.9818,29.5909],[-98.9819,29.5804],[-98.9836,29.5717],[-98.9837,29.5671],[-98.9832,29.5625],[-98.9811,29.5589],[-98.978,29.5556],[-98.9765,29.5547],[-98.9712,29.5533],[-98.9676,29.5546],[-98.9633,29.5578],[-98.9607,29.5578],[-98.9513,29.5581],[-98.9429,29.5585],[-98.9318,29.5588],[-98.9282,29.5593],[-98.9245,29.562],[-98.9213,29.5665],[-98.8056,29.6968]]]},\"properties\":{\"name\":\"Medina\",\"state\":\"TX\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611a91","contributors":{"authors":[{"text":"Raymond, L.H.","contributorId":23151,"corporation":false,"usgs":true,"family":"Raymond","given":"L.H.","email":"","affiliations":[],"preferred":false,"id":201276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nalley, G.M.","contributorId":23535,"corporation":false,"usgs":true,"family":"Nalley","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":201277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rettman, P.L.","contributorId":60663,"corporation":false,"usgs":true,"family":"Rettman","given":"P.L.","affiliations":[],"preferred":false,"id":201278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243235,"text":"70243235 - 1992 - Enhancement and integration of airborne gamma-ray spectrometric and Landsat imagery for regolith mapping — Cape York Peninsula","interactions":[],"lastModifiedDate":"2023-05-04T15:54:00.317072","indexId":"70243235","displayToPublicDate":"1992-01-01T10:47:01","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1612,"text":"Exploration Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Enhancement and integration of airborne gamma-ray spectrometric and Landsat imagery for regolith mapping — Cape York Peninsula","docAbstract":"<p>Airborne gamma-ray spectrometric data (400-m line spacing), gathered for the National Geoscience Mapping Accord North Queensland Project, has proved invaluable for differentiating regolith types based on their potassium, thorium and uranium signatures. The ability of the gamma-ray signal to penetrate the vegetation cover and as much as 40 cm below the surface was a considerable advantage in North Queensland, where traditional mapping techniques are hindered by the thick vegetation cover and where deeply weathered sandy soils frequently mask underlying geology.</p><p>Two image-processing techniques were used to enhance the gamma-ray data and integrate them with Landsat Thematic Mapper (TM) data. Firstly, a sun-angle illuminated high-pass filtered component (hillshade) of the gamma-ray image was added to a three-band false-colour composite image of the corrected gamma-ray data. The hillshade component highlighted local changes in the gamma-ray signal which related to changes in regolith materials and lithology, and sharpened boundaries associated with geomorphic features. Secondly, the gamma-ray image was integrated (pixel by pixel) with the high-frequency component of the corresponding TM band 5 scene. This allowed the imagery to be interpreted in a geomorphological and structural context.</p><p>Broad lithological divisions and structural domains were identified in the imagery, but most of the variation within these groups relates to the regolith cover and to geomorphic features in the landscape. Subtle variations in lithology were effectively interpreted only when the responses of the regolith cover are known. The gamma-ray imagery provided an insight into the weathering and geomorphic history of the region. In addition, the imagery can also be interpreted as a ‘geomorphic activity map’, separating stable landforms with deep weathering from younger landforms with active erosion and stripping of the surficial cover. This allows past and present geomorphic processes to be interpreted from the imagery, which in turn provides more informed extrapolation of field results and prediction of regolith types.</p><p>The imagery was highly useful for basement and regolith mapping. There is considerable potential for assisting with interpretation of both stream-sediment geochemical data and environmental studies, since the resulting imagery effectively maps the distribution of sediments in the landscape, and identifies areas of erosion and land degradation.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1071/EG992441","usgsCitation":"Wilford, J.R., Pain, C.F., and Dohrenwend, J.C., 1992, Enhancement and integration of airborne gamma-ray spectrometric and Landsat imagery for regolith mapping — Cape York Peninsula: Exploration Geophysics, v. 23, no. 1-2, p. 441-445, https://doi.org/10.1071/EG992441.","productDescription":"5 p.","startPage":"441","endPage":"445","costCenters":[],"links":[{"id":416722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"Queensland","otherGeospatial":"Cape York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              140.16394788242775,\n              -17.544272748662053\n            ],\n            [\n              143.32437044240226,\n              -18.62129837815519\n            ],\n            [\n              146.25779792286647,\n              -18.00024379957594\n            ],\n            [\n              146.3397927476505,\n              -17.718815134836788\n            ],\n            [\n              146.0457291178991,\n              -17.033746681031374\n            ],\n            [\n              145.64673992920774,\n              -16.438836825862637\n            ],\n            [\n              145.4839162218467,\n              -14.968841735888873\n            ],\n            [\n              144.7658356349835,\n              -14.403990088831591\n            ],\n            [\n              144.47484319481413,\n              -14.003182006252729\n            ],\n            [\n              143.92693655513642,\n              -14.328369422823386\n            ],\n            [\n              143.5677300427131,\n              -12.776070853683976\n            ],\n            [\n              142.88870982287847,\n              -11.169031122893855\n            ],\n            [\n              142.43164719584388,\n              -10.126485777938043\n            ],\n            [\n              141.99648952296758,\n              -9.951792414381273\n            ],\n            [\n              141.8659163757659,\n              -11.603593613127757\n            ],\n            [\n              141.3862923783371,\n              -12.461356951114226\n            ],\n            [\n              141.31844192493054,\n              -13.804806829095313\n            ],\n            [\n              141.40434417920937,\n              -14.506227565836568\n            ],\n            [\n              141.40272353926105,\n              -15.10054777201644\n            ],\n            [\n              141.1786585598378,\n              -16.034230492216295\n            ],\n            [\n              140.77339930246842,\n              -16.948321916253477\n            ],\n            [\n              140.7250037788868,\n              -17.375342399844328\n            ],\n            [\n              140.16394788242775,\n              -17.544272748662053\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2018-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilford, J. R.","contributorId":304799,"corporation":false,"usgs":false,"family":"Wilford","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":871646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pain, C. F.","contributorId":304800,"corporation":false,"usgs":false,"family":"Pain","given":"C.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":871647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dohrenwend, J. C.","contributorId":40960,"corporation":false,"usgs":true,"family":"Dohrenwend","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70127888,"text":"70127888 - 1992 - Use of remote sensing and GIS to identify Flamingo habitat in the Argentine Altiplano","interactions":[],"lastModifiedDate":"2023-11-07T00:33:44.930956","indexId":"70127888","displayToPublicDate":"1992-01-01T10:27:50","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1121,"text":"Bulletin of the Ecological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Use of remote sensing and GIS to identify Flamingo habitat in the Argentine Altiplano","docAbstract":"The Argentine altiplano is a remote area which has never been adequately mapped.  It is an arid region with harsh climate, little vegetation, sparse population, and an average elevation of over 3,500 feet.  Little is known about the large populations of three species of flamingos which nest and feed in the altiplano lakes.  In a study funded by the National Geographic Society satellite data (Landsat MSS and TM data) were used to map the location of major water bodies and to analyze the spectral characteristics of the aquatic ecosystems in the altiplano.  A comparison of the two images revealed dramatic changes in the size, depth, and spectral reflectance of the lakes utilized by the flamingos.","language":"English","publisher":"Ecological Society of America","usgsCitation":"Boyle, S.C., Hoffer, R.M., Boyle, T.P., and Bucher, E.H., 1992, Use of remote sensing and GIS to identify Flamingo habitat in the Argentine Altiplano: Bulletin of the Ecological Society of America, v. 73, no. 2, 1 p.","productDescription":"1 p.","numberOfPages":"1","costCenters":[],"links":[{"id":294779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Altiplano","volume":"73","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e698de4b092f17df5ab0e","contributors":{"authors":[{"text":"Boyle, Susan C.","contributorId":16768,"corporation":false,"usgs":true,"family":"Boyle","given":"Susan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":502603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffer, Roger M.","contributorId":67025,"corporation":false,"usgs":true,"family":"Hoffer","given":"Roger","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":502604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyle, Terence P.","contributorId":79037,"corporation":false,"usgs":true,"family":"Boyle","given":"Terence","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bucher, Enrique H.","contributorId":10349,"corporation":false,"usgs":true,"family":"Bucher","given":"Enrique","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70017141,"text":"70017141 - 1992 - Mapping thermal maturity in the Chainman shale, near Eureka, Nevada, with Landsat Thematic Mapper images","interactions":[],"lastModifiedDate":"2023-01-19T17:40:10.222065","indexId":"70017141","displayToPublicDate":"1992-01-01T00:00:00","publicationYear":"1992","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":"Mapping thermal maturity in the Chainman shale, near Eureka, Nevada, with Landsat Thematic Mapper images","docAbstract":"<p>The purpose of this study was to determine if there is a correlation between measurements of organic matter (OM) maturity and laboratory measurements of visible and near-infrared spectral reflectance, and if Landsat Thematic Mapper (TM) images could be used to map maturity. The maturity of Mississippian Chainman Shale samples collected in east-central Nevada and west-central Utah was determined by using vitrinite reflectance and Rock-Eval pyrolysis. To establish the relations between maturity and spectral reflectance in the visible and near-infrared (VNIR) wavelength region, VNIR reflectance spectra of fresh and weathered whole-rock sample surfaces were measured in the laboratory. The spectra were convolved digitally with the Landsat TM filter band passes to facilitate th analysis, especially the relative sensitivities of individual band passes and ratios of band passes to spectral reflectance variations related to OM maturity.</p><p>With increasing maturity, overall VNIR diffuse reflectance and mineral-absorption-feature intensities decrease, and the shape of the spectra changes from concave-downward to nearly flat. The spectral shape differences between mature and supermature samples remains distinctive in reflectance spectra of weathered surfaces. TM 4/TM 5 values correspond well to vitrinite reflectance and hydrogen index variations, and therefore this ratio was used to evaluate a TM image of the Eureka, Nevada, area for mapping thermal maturity differences in the Chainman Shale. First, the contribution of vegetation to the TM response was minimized using a linear regression technique, and then a TM 4/TM 5 density-sliced image was produced.</p><p>Field evaluation of the TM 4/TM 5 density-sliced image shows that all the high values in the Chainman Shale, which correspond to high maturity, are located in the Diamond Mountains; in contrast, Chainman Shale in the northwestern Pancake Range exhibits low to moderate values. These results are consistent with published local maturity determinations. Locally, the presence of limonitic arenaceous exposures and colluvium causes anomalously low TM 4/TM 5 values, but these areas can be identified in TM images because of their diagnostic VNIR reflectance spectra.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/BDFF895C-1718-11D7-8645000102C1865D","usgsCitation":"Rowan, L., Pawlewicz, M., and Jones, O.D., 1992, Mapping thermal maturity in the Chainman shale, near Eureka, Nevada, with Landsat Thematic Mapper images: American Association of Petroleum Geologists Bulletin, v. 76, no. 7, p. 1008-1023, https://doi.org/10.1306/BDFF895C-1718-11D7-8645000102C1865D.","productDescription":"16 p.","startPage":"1008","endPage":"1023","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":224679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Eureka","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.75,\n              39.75\n            ],\n            [\n              -116,\n              39.75\n            ],\n            [\n              -116,\n              39.25\n            ],\n            [\n              -115.75,\n              39.25\n            ],\n            [\n              -115.75,\n              39.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"76","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a508be4b0c8380cd6b76b","contributors":{"authors":[{"text":"Rowan, Lawrence C.","contributorId":22860,"corporation":false,"usgs":true,"family":"Rowan","given":"Lawrence C.","affiliations":[],"preferred":false,"id":375540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, Mark","contributorId":69212,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"","affiliations":[],"preferred":false,"id":375542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, O. D.","contributorId":42700,"corporation":false,"usgs":true,"family":"Jones","given":"O.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":375541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187576,"text":"70187576 - 1992 - Land cover mapping of the Upper Kuskokwim Resource Management Area, Alaska, using Landsat and a digital data base approach","interactions":[],"lastModifiedDate":"2017-05-09T13:34:32","indexId":"70187576","displayToPublicDate":"1992-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Land cover mapping of the Upper Kuskokwim Resource Management Area, Alaska, using Landsat and a digital data base approach","docAbstract":"<p>Digital land cover and terrain data for the Upper Kuskokwim Resource Management Area in south-central Alaska were produced by the U.S. Geological Survey for the U.S. Bureau of Land Management. These and other environmental data were incorporated into a digital data base to assist in the production of a land cover map and to facilitate in the management and planning of the area.</p><p>The digital data base is registered to a 50 m Universal Transverse Mercator grid and is stored on computer-compatible tape to facilitate transfer between different processing systems. The data base includes land cover classifications, terrain models (elevation, slope, aspect, solar illumination), autumn and winter Landsat multi-spectral scanner data, soils and surficial geology data, and area boundary.</p><p>The spectral classification of Landsat multi-spectral scanner data resulted in seven major classes and 24 subclasses. Major classes were forest, shrubland, dwarf scrub, herbaceous, barren, water, and other.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/07038992.1992.10855308","usgsCitation":"Markon, C., 1992, Land cover mapping of the Upper Kuskokwim Resource Management Area, Alaska, using Landsat and a digital data base approach: Canadian Journal of Remote Sensing, v. 18, no. 2, p. 62-71, https://doi.org/10.1080/07038992.1992.10855308.","productDescription":"10 p.","startPage":"62","endPage":"71","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d54ee4b0e541a03d456b","contributors":{"authors":[{"text":"Markon, Carl markon@usgs.gov","contributorId":140882,"corporation":false,"usgs":true,"family":"Markon","given":"Carl","email":"markon@usgs.gov","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":694620,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187579,"text":"70187579 - 1992 - A technique for the reduction of banding in Landsat Thematic Mapper Images","interactions":[],"lastModifiedDate":"2017-05-09T13:43:57","indexId":"70187579","displayToPublicDate":"1992-01-01T00:00:00","publicationYear":"1992","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":"A technique for the reduction of banding in Landsat Thematic Mapper Images","docAbstract":"<p>The radiometric difference between forward and reverse scans in Landsat thematic mapper (TM) images, referred to as \"banding,\" can create problems when enhancing the image for interpretation or when performing quantitative studies. Recent research has led to the development of a method that reduces the banding in Landsat TM data sets. It involves passing a one-dimensional spatial kernel over the data set. This kernel is developed from the statistics of the banding pattern and is based on the Wiener filter. It has been implemented on both a DOS-based microcomputer and several UNIX-based computer systems. The algorithm has successfully reduced the banding in several test data sets.</p>","language":"English","publisher":"ASPRS","usgsCitation":"Helder, D.L., Quirk, B.K., and Hood, J.J., 1992, A technique for the reduction of banding in Landsat Thematic Mapper Images: Photogrammetric Engineering and Remote Sensing, v. 58, no. 10, p. 1425-1431.","productDescription":"7 p.","startPage":"1425","endPage":"1431","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d53ee4b0e541a03d4557","contributors":{"authors":[{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":694626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quirk, Bruce K. quirk@usgs.gov","contributorId":4285,"corporation":false,"usgs":true,"family":"Quirk","given":"Bruce","email":"quirk@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":694627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Joy J. jhood@usgs.gov","contributorId":5510,"corporation":false,"usgs":true,"family":"Hood","given":"Joy","email":"jhood@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":694628,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188405,"text":"70188405 - 1992 - Destriping of Landsat MSS images by filtering techniques","interactions":[],"lastModifiedDate":"2024-06-14T15:58:25.637231","indexId":"70188405","displayToPublicDate":"1992-01-01T00:00:00","publicationYear":"1992","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":"Destriping of Landsat MSS images by filtering techniques","docAbstract":"<p>The removal of striping noise encountered in the Landsat Multispectral Scanner (MSS) images can be generally done by using frequency filtering techniques. Frequency domain filtering has, however, several problems, such as storage limitation of data required for fast Fourier transforms, ringing artifacts appearing at high-intensity discontinuities, and edge effects between adjacent filtered data sets. One way for circumventing the above difficulties is to design a spatial filter to convolve with the images. Because it is known that the striping always appears at frequencies of 1/6, 1/3, and 1/2 cycles per line, it is possible to design a simple one-dimensional spatial filter to take advantage of this a priori knowledge to cope with the above problems. The desired filter is the type of finite impulse response which can be designed by a linear programming and Remez's exchange algorithm coupled with an adaptive technique. In addition, a four-step spatial filtering technique with an appropriate adaptive approach is also presented which may be particularly useful for geometrically rectified MSS images.</p>","language":"English","publisher":"ASPRS","usgsCitation":"Pan, J., and Chang, C., 1992, Destriping of Landsat MSS images by filtering techniques: Photogrammetric Engineering and Remote Sensing, v. 58, no. 10, p. 1417-1423.","productDescription":"7 p.","startPage":"1417","endPage":"1423","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593ad70fe4b0764e6c602184","contributors":{"authors":[{"text":"Pan, Jeng-Jong","contributorId":35877,"corporation":false,"usgs":true,"family":"Pan","given":"Jeng-Jong","email":"","affiliations":[],"preferred":false,"id":697617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Chein-I","contributorId":192740,"corporation":false,"usgs":false,"family":"Chang","given":"Chein-I","email":"","affiliations":[],"preferred":false,"id":697618,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70016165,"text":"70016165 - 1992 - Comparison of spatial variability in visible and near-infrared spectral images","interactions":[],"lastModifiedDate":"2012-03-12T17:18:41","indexId":"70016165","displayToPublicDate":"1992-01-01T00:00:00","publicationYear":"1992","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":"Comparison of spatial variability in visible and near-infrared spectral images","docAbstract":"The visible and near-infrared bands of the Landsat Thematic Mapper (TM) and the Satellite Pour l'Observation de la Terre (SPOT) were analyzed to determine which band contained more spatial variability. It is important for applications that require spatial information, such as those dealing with mapping linear features and automatic image-to-image correlation, to know which spectral band image should be used. Statistical and visual analyses were used in the project. The amount of variance in an 11 by 11 pixel spatial filter and in the first difference at the six spacings of 1, 5, 11, 23, 47, and 95 pixels was computed for the visible and near-infrared bands. The results indicate that the near-infrared band has more spatial variability than the visible band, especially in images covering densely vegetated areas. -Author","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Chavez, P., 1992, Comparison of spatial variability in visible and near-infrared spectral images: Photogrammetric Engineering and Remote Sensing, v. 58, no. 7, p. 957-964.","startPage":"957","endPage":"964","numberOfPages":"8","costCenters":[],"links":[{"id":223201,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f890e4b0c8380cd4d1b0","contributors":{"authors":[{"text":"Chavez, P.S. Jr.","contributorId":75147,"corporation":false,"usgs":true,"family":"Chavez","given":"P.S.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":372720,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187411,"text":"70187411 - 1992 - Landsat thematic mapper products for rangeland assessment","interactions":[],"lastModifiedDate":"2017-05-02T11:38:50","indexId":"70187411","displayToPublicDate":"1992-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1753,"text":"Geocarto International","active":true,"publicationSubtype":{"id":10}},"title":"Landsat thematic mapper products for rangeland assessment","docAbstract":"<p><span>Landsat Thematic Mapper (TM) data are useful for mapping rangeland resources worldwide. Spatial resolution and spectral characteristics of the data are adequate for performing a variety of range‐related tasks, including monitoring ecological change. The unique spectral characteristics of TM data are important in the development of products for manual interpretation of images to be used in rangeland assessment. Procedures were developed for using a histogram‐based, data‐dependent stretch of multispectml data values for producing site‐specific TM image products. The process optimizes image information for a given data set without a priori knowledge of the imaged site. Manual interpretation of TM products for rangeland assessment has many applications and will be aided by a standardized procedure for compositing spectral bands.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10106049209354349","usgsCitation":"Haas, R.H., 1992, Landsat thematic mapper products for rangeland assessment: Geocarto International, v. 7, no. 1, p. 27-33, https://doi.org/10.1080/10106049209354349.","productDescription":"7 p.","startPage":"27","endPage":"33","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099ab2e4b0fc4e44915822","contributors":{"authors":[{"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":693917,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039498,"text":"70039498 - 1991 - FOLD, federally owned Landsat data January 1991","interactions":[],"lastModifiedDate":"2012-08-11T01:01:51","indexId":"70039498","displayToPublicDate":"2008-01-08T09:55:00","publicationYear":"1991","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":358,"text":"FOLD, federally owned Landsat data","active":false,"publicationSubtype":{"id":6}},"title":"FOLD, federally owned Landsat data January 1991","docAbstract":"The FOLD data base lists all Landsat scenes held by participating agencies. Duplicate scene listings are maintained when more than one agency holds identical scenes; this permits the user to select the most convenient site to obtain a copy. Copies of the listing are distributed by EDC to contributing agencies and other selected offices.","language":"English","publisher":"U.S. Geological Survey, EROS Data Center","publisherLocation":"Sioux Falls, SD","doi":"10.3133/70039498","usgsCitation":"Water Resources Division, U.S. Geological Survey, 1991, FOLD, federally owned Landsat data January 1991: FOLD, federally owned Landsat data, vii, 269 p., https://doi.org/10.3133/70039498.","productDescription":"vii, 269 p.","numberOfPages":"279","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":261628,"rank":800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/70039498/report.pdf"},{"id":261629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/unnumbered/70039498/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0e7be4b0c8380cd5349b","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":535332,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":67225,"text":"i2206 - 1991 - Landforms of the conterminous United States — A digital shaded relief portrayal","interactions":[],"lastModifiedDate":"2022-02-03T22:45:27.500643","indexId":"i2206","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1991","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":"2206","title":"Landforms of the conterminous United States — A digital shaded relief portrayal","docAbstract":"<p>Our map was made by digital image-processing, a technical specialty related to the broader fields of computer graphics and machine vision (Dawson, 1987; Kennie and McLaren, 1988). The technology includes the many spacially based operations first brought together and developed systematically to manipulate Ranger, Mariner, Landsat, and other images that are reassembled from spacecraft telemetry in a raster or scan-line arrangement of square-grid elements (Nathan, 1966; Castleman, 1979; Sheldon, 1987). These computer procedures have been successfully transferred to landform analysis from remote-sensing applications by substituting terrain heights or sea-floor depths for the customary values of electromagnetic radiation obtained from satellites an stored in digital arrays of pixels (Batson and others, 1975).<br></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/i2206","usgsCitation":"Thelin, G.P., and Pike, R.J., 1991, Landforms of the conterminous United States — A digital shaded relief portrayal: U.S. Geological Survey IMAP 2206, Pamphlet: 16 p.; 1 Sheet: 84.67 x 52.78 inches, https://doi.org/10.3133/i2206.","productDescription":"Pamphlet: 16 p.; 1 Sheet: 84.67 x 52.78 inches","costCenters":[],"links":[{"id":187583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/i2206.JPG"},{"id":107339,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_10187.htm","linkFileType":{"id":5,"text":"html"},"description":"10187"},{"id":333351,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/imap/i2206/usa_shade.pdf","text":"Sheet","size":"2.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet"},{"id":333350,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/i2206/i2206_pamphlet.pdf","text":"Pamphlet","size":"7.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":6130,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/i2206/","linkFileType":{"id":5,"text":"html"}}],"scale":"3500000","country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                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,{"id":66960,"text":"i2050B - 1991 - Map showing the association of linear features with metallic mines and prospects in the Butte 1° x 2° quadrangle, Montana","interactions":[],"lastModifiedDate":"2021-10-13T18:52:40.157696","indexId":"i2050B","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1991","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":"2050","chapter":"B","title":"Map showing the association of linear features with metallic mines and prospects in the Butte 1° x 2° quadrangle, Montana","docAbstract":"<p>This study was undertaken as part of the Conterminous U.S. Mineral Assessment Program (CUSMAP). The purpose of the study was to map linear features on Landsat Multispectral Scanner (MSS) images and a proprietary side-looking airborne radar (SLAR) image mosaic and to determine the spatial relationship between these linear features and the locations of metallic mineral occurrE-nces. The results show a close spatial association of linear features with metallic mineral occurrences in parts of the quadrangle, but in other areas the association is less well defined. </p><p>Linear features are defined as distinct linear and slightly curvilinear elements mappable on MSS and SLAR images. The features generally represent linear segments of streams, ridges, and terminations of topographic features; however, they may also represent tonal patterns that are related to variations in lithology and vegetation. Most linear features in the Butte quadrangle probably represent underlying structural elements, such as fractures (with and without displacement), dikes, and alignment of fold axes. However, in areas underlain by sedimentary rocks, some of the linear features may reflect bedding traces. This report describes the geologic setting of the Butte quadrangle, the procedures used in mapping and analyzing the linear features, and the results of the study. Relationship of these features to placer and non-metal deposits were not analyzed in this study and are not discussed in this report. </p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/i2050B","usgsCitation":"Rowan, L.C., Trautwein, C., and Purdy, T.L., 1991, Map showing the association of linear features with metallic mines and prospects in the Butte 1° x 2° quadrangle, Montana: U.S. Geological Survey IMAP 2050, Report: 12 p.; 1 Plate: 40.0 x 30.0 inches, https://doi.org/10.3133/i2050B.","productDescription":"Report: 12 p.; 1 Plate: 40.0 x 30.0 inches","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":189122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/imap/2050b/report-thumb.jpg"},{"id":91630,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/imap/2050b/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":91631,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2050b/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":107268,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_10102.htm","linkFileType":{"id":5,"text":"html"},"description":"10102"}],"scale":"250000","country":"United States","state":"Montana","otherGeospatial":"Butte 1° x 2° quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,46 ], [ -114,47 ], [ -112,47 ], [ -112,46 ], [ -114,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a29d2","contributors":{"authors":[{"text":"Rowan, L. C.","contributorId":40584,"corporation":false,"usgs":true,"family":"Rowan","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":275374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trautwein, C. M.","contributorId":86748,"corporation":false,"usgs":true,"family":"Trautwein","given":"C. M.","affiliations":[],"preferred":false,"id":275376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purdy, T. L.","contributorId":53812,"corporation":false,"usgs":true,"family":"Purdy","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":275375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":38502,"text":"pp1386G - 1991 - Glaciers of the Middle East and Africa","interactions":[{"subject":{"id":38502,"text":"pp1386G - 1991 - Glaciers of the Middle East and Africa","indexId":"pp1386G","publicationYear":"1991","noYear":false,"chapter":"G","title":"Glaciers of the Middle East and Africa"},"predicate":"IS_PART_OF","object":{"id":70042384,"text":"pp1386 - 1988 - Satellite image atlas of glaciers of the world","indexId":"pp1386","publicationYear":"1988","noYear":false,"title":"Satellite image atlas of glaciers of the world"},"id":1}],"isPartOf":{"id":70042384,"text":"pp1386 - 1988 - Satellite image atlas of glaciers of the world","indexId":"pp1386","publicationYear":"1988","noYear":false,"title":"Satellite image atlas of glaciers of the 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Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":914606,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"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":914607,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kurter, Ajun","contributorId":344739,"corporation":false,"usgs":false,"family":"Kurter","given":"Ajun","email":"","affiliations":[],"preferred":false,"id":914608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":914609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, James A.","contributorId":13735,"corporation":false,"usgs":true,"family":"Young","given":"James A.","affiliations":[],"preferred":false,"id":914610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Case, Harvey L. hlcase@usgs.gov","contributorId":336,"corporation":false,"usgs":true,"family":"Case","given":"Harvey","email":"hlcase@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":914611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":30280,"text":"wri894157 - 1991 - Use of Landsat imagery to estimate ground-water pumpage for irrigation on the Columbia Plateau in eastern Washington, 1985","interactions":[],"lastModifiedDate":"2022-10-26T16:33:22.328642","indexId":"wri894157","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1991","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"89-4157","title":"Use of Landsat imagery to estimate ground-water pumpage for irrigation on the Columbia Plateau in eastern Washington, 1985","docAbstract":"<p>A method for estimating ground-water pumpage for irrigation was developed for the Columbia Plateau in eastern Washington. The method combines water-application rates estimated from pumpage data with acreage of irrigated crops that was mapped by using Landsat imagery. The study area consisted of Grant, Lincoln, Adams, and Franklin Counties, an area of approximately 8,900 square miles, and accounts for approximately three-fourths of the ground-water pumpage in the Columbia Plateau in eastern Washington. </p><p>Data from two passes of Landsat's multispectral scanner were analyzed by using a spectral band ratioing procedure to map irrigated crops for the study area. Data from one pass of Landsat's thematic mapper, covering approximately two-thirds of the study area, also were analyzed for determining irrigated crops in the area resulting in a 6-percent improvement in accuracy over the multispectral scanner analysis. </p><p>A total of 576 annual water-application rates associated with particular crops, for the 1982 through 1985 seasons, were calculated. A regression equation was developed for estimating annual water-application rates as a function of crop type, annual precipitation, irrigation system type, and available water capacity of the soil. Crops were grouped into three water-use categories: (1) small grains, primarily wheat and barley; (2) high water-use crops consisting of corn, alfalfa, and potatoes; and (3) miscellaneous vegetable and row crops. Annual water-application rates, expressed as a depth of water, then were multiplied by irrigated area determined by Landsat to estimate a volume of water pumped for irrigation for 1985-620,000 acre-feet. An assessment of accuracy for estimating pumpage for 28 of the sites showed that total predicted pumpage was within 4 percent of the total observed pumpage.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri894157","usgsCitation":"Van Metre, P., and Seevers, P., 1991, Use of Landsat imagery to estimate ground-water pumpage for irrigation on the Columbia Plateau in eastern Washington, 1985: U.S. Geological Survey Water-Resources Investigations Report 89-4157, iv, 38 p., https://doi.org/10.3133/wri894157.","productDescription":"iv, 38 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":408757,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_47245.htm","linkFileType":{"id":5,"text":"html"}},{"id":59069,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1989/4157/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":159684,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1989/4157/report-thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120,\n              48\n            ],\n            [\n              -120,\n              46.2167\n            ],\n            [\n              -117.8333,\n              46.2167\n            ],\n            [\n              -117.8333,\n              48\n            ],\n            [\n              -120,\n              48\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db60517c","contributors":{"authors":[{"text":"Van Metre, P. C.","contributorId":92999,"corporation":false,"usgs":true,"family":"Van Metre","given":"P. C.","affiliations":[],"preferred":false,"id":202978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seevers, Paul","contributorId":30258,"corporation":false,"usgs":true,"family":"Seevers","given":"Paul","email":"","affiliations":[],"preferred":false,"id":202977,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195034,"text":"70195034 - 1991 - Rockslides on the Terminus of \"Jokulsargilsjokull\", Southern Iceland","interactions":[],"lastModifiedDate":"2018-02-05T14:44:29","indexId":"70195034","displayToPublicDate":"1991-12-31T00:00:00","publicationYear":"1991","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1768,"text":"Geografiska Annaler, Series A: Physical Geography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rockslides on the Terminus of \"Jökulsárgilsjökull\", Southern Iceland","title":"Rockslides on the Terminus of \"Jokulsargilsjokull\", Southern Iceland","docAbstract":"<p><span>On 10 November 1976, a 1.5 km × 0.5 km rockslide deposit on the surface of an unnamed outlet glacier of Mýrdalsjökull ice cap, southern Iceland, was observed from an aircraft. Deposits from two different rockslides, including the larger one observed on 10 November 1976, were visible on a 10 September 1978 aerial photograph of the unnamed outlet glacier. An analysis of vertical and oblique aerial photographs, Landsat images, and seismological records was used to establish the time of occurrence of the larger rockslide to a 30-day period between 9 September 1972 and 9 October 1972. The trigger mechanisms for the rockslide activity appear to have been heavy precipitation prior to the event and the decrease of buttressing mass at the base of the valley wall resulting from recession of the glacier (decrease in width and thickness). The recession led to instability of highly altered hyaloclastite bedrock, talus, and morainal materials on an oversteepened slope. An earthquake as a trigger mechanism was considered to be unlikely from a thorough review of seismic records. Measurements of the downglacier movement of the larger rockslide deposit give an average speed of the glacier as 30±3 m a-1 between September/October 1972 and 10 September 1978. From measurements of aerial photographs taken on 10 September 1978 and 4 September 1984, the average speed of the glacier increased to 45 m a-1 during this 6-year interval. Although the terminus of the unnamed outlet glacier had not yet begun to advance in 1986, it had undergone thickening since 1978.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.2307/521018","usgsCitation":"Sigurdsson, O., and Williams, R.S., 1991, Rockslides on the Terminus of \"Jokulsargilsjokull\", Southern Iceland: Geografiska Annaler, Series A: Physical Geography, v. 73, no. 3/4, p. 129-140, https://doi.org/10.2307/521018.","productDescription":"12 p.","startPage":"129","endPage":"140","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":351015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","volume":"73","issue":"3/4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a797b96e4b00f54eb1f5e24","contributors":{"authors":[{"text":"Sigurdsson, Oddur","contributorId":38666,"corporation":false,"usgs":false,"family":"Sigurdsson","given":"Oddur","email":"","affiliations":[],"preferred":false,"id":726675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Richard S. Jr.","contributorId":19946,"corporation":false,"usgs":true,"family":"Williams","given":"Richard","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":726676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70015004,"text":"70015004 - 1991 - Satellite and earth science data management activities at the U.S. geological survey's EROS data center","interactions":[],"lastModifiedDate":"2012-03-12T17:18:58","indexId":"70015004","displayToPublicDate":"1991-01-01T00:00:00","publicationYear":"1991","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Satellite and earth science data management activities at the U.S. geological survey's EROS data center","docAbstract":"The U.S. Geological Survey's Earth Resources Observation Systems (EROS) Data Center, the national archive for Landsat data, has 20 years of experience in acquiring, archiving, processing, and distributing Landsat and earth science data. The Center is expanding its satellite and earth science data management activities to support the U.S. Global Change Research Program and the National Aeronautics and Space Administration (NASA) Earth Observing System Program. The Center's current and future data management activities focus on land data and include: satellite and earth science data set acquisition, development and archiving; data set preservation, maintenance and conversion to more durable and accessible archive medium; development of an advanced Land Data Information System; development of enhanced data packaging and distribution mechanisms; and data processing, reprocessing, and product generation systems.","largerWorkTitle":"GIS/LIS 1991 ACSM-ASPRS Fall Convention","conferenceTitle":"1991 ACSM-ASPRS Fall Convention","conferenceDate":"28 October 1991 through 1 November 1991","conferenceLocation":"Atlanta, GA, USA","language":"English","publisher":"Publ by ASPRS","publisherLocation":"Bethesda, MD, United States","usgsCitation":"Carneggie, D.M., Metz, G.G., Draeger, W.C., and Thompson, R.J., 1991, Satellite and earth science data management activities at the U.S. geological survey's EROS data center, <i>in</i> GIS/LIS 1991 ACSM-ASPRS Fall Convention, Atlanta, GA, USA, 28 October 1991 through 1 November 1991.","costCenters":[],"links":[{"id":224343,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86cde4b08c986b316130","contributors":{"authors":[{"text":"Carneggie, David M.","contributorId":62758,"corporation":false,"usgs":true,"family":"Carneggie","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":369829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metz, Gary G.","contributorId":45466,"corporation":false,"usgs":true,"family":"Metz","given":"Gary","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":369827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draeger, William C.","contributorId":46522,"corporation":false,"usgs":true,"family":"Draeger","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":369828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Ralph J.","contributorId":96837,"corporation":false,"usgs":true,"family":"Thompson","given":"Ralph","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":369830,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70014906,"text":"70014906 - 1991 - Analysis of glacier facies using satellite techniques","interactions":[],"lastModifiedDate":"2024-05-07T00:11:41.599719","indexId":"70014906","displayToPublicDate":"1991-01-01T00:00:00","publicationYear":"1991","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of glacier facies using satellite techniques","docAbstract":"<div class=\"abstract-content\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>The different snow and ice types on a glacier may be subdivided according to the glacier-facies concept. The surficial expression of some facies may be detected at the end of the balance year by the use of visible and near-infrared image data from the Landsat multispectral scanner (MSS) and thematic mapper (TM) sensors. Ice and snow can be distinguished by reflectivity differences in individual or ratioed TM bands on Brúarjökull, an outlet glacier on the northern margin of the Vatnajökull ice cap, Iceland. The Landsat scene shows the upper limit of wet snow on 24 August 1986. Landsat-derived reflectance is lowest for exposed ice and increases markedly at the transient snow line. Above the slush zone is a gradual increase in near-infrared reflectance as a result of decreasing grain-size of the snow, which characterizes drier snow. Landsat data are useful in measuring the areal extent of the ice facies, the slush zone within the wet-snow facies, the snow facies (combined wet-snow, percolation and dry-snow facies), and the respective positions of the transient snow line and the slush limit. In addition, fresh snowfall and/or airborne contaminants, such as soot and tcphra, can limit the utility of Landsat data for delineation of the glacier facies in some cases.</p></div></div>","language":"English","publisher":"Cambridge University Press","doi":"10.3189/S0022143000042878","issn":"00221430","usgsCitation":"Williams, R., Hall, D., and Benson, C., 1991, Analysis of glacier facies using satellite techniques: Journal of Glaciology, v. 37, no. 125, p. 120-128, https://doi.org/10.3189/S0022143000042878.","productDescription":"9 p.","startPage":"120","endPage":"128","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":479739,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/s0022143000042878","text":"Publisher Index Page"},{"id":225473,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"125","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5059eb17e4b0c8380cd48bf6","contributors":{"authors":[{"text":"Williams, R.S. Jr.","contributorId":46102,"corporation":false,"usgs":true,"family":"Williams","given":"R.S.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":369580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, D.K.","contributorId":84506,"corporation":false,"usgs":true,"family":"Hall","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":369581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benson, C.S.","contributorId":25306,"corporation":false,"usgs":true,"family":"Benson","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":369579,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70016614,"text":"70016614 - 1991 - Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic","interactions":[],"lastModifiedDate":"2012-03-12T17:18:49","indexId":"70016614","displayToPublicDate":"1991-01-01T00:00:00","publicationYear":"1991","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":"Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic","docAbstract":"The merging of multisensor image data is becoming a widely used procedure because of the complementary nature of various data sets. Ideally, the method used to merge data sets with high-spatial and high-spectral resolution should not distort the spectral characteristics of the high-spectral resolution data. This paper compares the results of three different methods used to merge the information contents of the Landsat Thematic Mapper (TM) and Satellite Pour l'Observation de la Terre (SPOT) panchromatic data. The comparison is based on spectral characteristics and is made using statistical, visual, and graphical analyses of the results. The three methods used to merge the information contents of the Landsat TM and SPOT panchromatic data were the Hue-Intensity-Saturation (HIS), Principal Component Analysis (PCA), and High-Pass Filter (HPF) procedures. The HIS method distorted the spectral characteristics of the data the most. The HPF method distorted the spectral characteristics the least; the distortions were minimal and difficult to detect. -Authors","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Chavez, P., Sides, S., and Anderson, J., 1991, Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic: Photogrammetric Engineering and Remote Sensing, v. 57, no. 3, p. 295-303.","startPage":"295","endPage":"303","numberOfPages":"9","costCenters":[],"links":[{"id":224885,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f8b2e4b0c8380cd4d22f","contributors":{"authors":[{"text":"Chavez, P.S. Jr.","contributorId":75147,"corporation":false,"usgs":true,"family":"Chavez","given":"P.S.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":374041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sides, S.C.","contributorId":9004,"corporation":false,"usgs":true,"family":"Sides","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":374039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, J.A.","contributorId":60387,"corporation":false,"usgs":true,"family":"Anderson","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":374040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048800,"text":"70048800 - 1990 - Historical Landsat data comparisons: illustrations of land surface change","interactions":[],"lastModifiedDate":"2015-10-22T10:07:12","indexId":"70048800","displayToPublicDate":"1990-11-05T15:57:00","publicationYear":"1990","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Historical Landsat data comparisons: illustrations of land surface change","docAbstract":"<p>The U.S. Geological Survey's (USGS) EROS Data Center (EDC) has archived two decades of Landsat data, providing a rich collection of information about the dynamics of the Earth's land surface. Major changes to the surface features of the planet can be detected, measured, and studied using Landsat data. The effects of desertification, deforestation, pollution, cataclysmic volcanic activity, and other natural and anthropogenic events can be examined by resource scientists using data acquired from the Landsat series of Earth-observing satellites. The availability of a nearly uninterrupted flow of information from the Landsats, in a consistent data format, gives researchers an important tool for studying surface changes over time.</p>\n<p>This booklet provides an overview of the Landsat program and shows the application of the data to monitor changes occurring on the surface of the Earth. To show changes that have taken place within the last 20 years or less, image pairs were constructed from the Landsat multispectral scanner (MSS) and thematic mapper (TM) sensors. Landsat MSS data provide a historical global record of the land surface from the early 1970's to present. Landsat TM data provide land surface information from the early 1980's to present.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70048800","usgsCitation":"Cross, M.D., 1990, Historical Landsat data comparisons: illustrations of land surface change, 37 p., https://doi.org/10.3133/70048800.","productDescription":"37 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":278865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70048800.jpg"},{"id":310360,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/70048800/report.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a2186e4b051792d019540","contributors":{"authors":[{"text":"Cross, Matthew D.","contributorId":95378,"corporation":false,"usgs":true,"family":"Cross","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485671,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200787,"text":"70200787 - 1990 - Investigating climate change by digital analysis of blue-ice extent on satellite images of Antarctica","interactions":[],"lastModifiedDate":"2018-10-31T16:33:45","indexId":"70200787","displayToPublicDate":"1990-01-01T16:31:05","publicationYear":"1990","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":794,"text":"Annals of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Investigating climate change by digital analysis of blue-ice extent on satellite images of Antarctica","docAbstract":"<p><span>Landsat-5 Thematic Mapper (TM) and SPOT data collected two years apart from an identical area of Dronning (Queen) Maud Land, Antarctica, have been analyzed to detect variations in surface features that may signal climatic change, and to establish a technique that readily identifies such changes. We found that selective principal component analysis (Chavez and Kwarteng&nbsp;</span>1989<span>), on band ratios of near-IR/green, highlights changes in blue ice areas. The formation and preservation of blue ice is poorly understood, but we suggest that it generally takes longer to increase a blue ice area than to decrease it, and that blue ice extent is most sensitive to changes in accumulation rate. The investigated blue ice area shows a decrease in extent over the two-year period caused by incursion of snow that probably resulted from an increase in accumulation rate. Comparison of two TM images collected 18 days apart shows that transitory snow drifts have little effect on blue ice extent.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.3189/S0260305500008600","usgsCitation":"Orheim, O., and Lucchitta, B.K., 1990, Investigating climate change by digital analysis of blue-ice extent on satellite images of Antarctica: Annals of Glaciology, v. 14, p. 211-215, https://doi.org/10.3189/S0260305500008600.","productDescription":"5 p.","startPage":"211","endPage":"215","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":479811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/s0260305500008600","text":"Publisher Index Page"},{"id":359055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5c112800e4b034bf6a8200c0","contributors":{"authors":[{"text":"Orheim, Olav","contributorId":210340,"corporation":false,"usgs":false,"family":"Orheim","given":"Olav","email":"","affiliations":[],"preferred":false,"id":750509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":750510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70016054,"text":"70016054 - 1990 - An operational earth mapping and monitoring satellite system: a proposal for Landsat 7","interactions":[],"lastModifiedDate":"2012-03-12T17:18:40","indexId":"70016054","displayToPublicDate":"1990-01-01T00:00:00","publicationYear":"1990","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":"An operational earth mapping and monitoring satellite system: a proposal for Landsat 7","docAbstract":"The system proposed will monitor the Earth in a systematic and multispectral mode with a resolution of 10 m or better. In addition, it will acquire stereoscopic coverage in a form that permits the automated compilation of topographic data and digital elevation models. Image maps of 1:50 000 or even 1:24 000 scale are expected products, and the topographic data can support contours of 20-m intervals. The system builds on the successful Landsat and SPOT modes of remote sensing. -from Author","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Colvocoresses, A., 1990, An operational earth mapping and monitoring satellite system: a proposal for Landsat 7: Photogrammetric Engineering and Remote Sensing, v. 56, no. 5, p. 569-571.","startPage":"569","endPage":"571","numberOfPages":"3","costCenters":[],"links":[{"id":223195,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eaa3e4b0c8380cd489b0","contributors":{"authors":[{"text":"Colvocoresses, A. P.","contributorId":82703,"corporation":false,"usgs":true,"family":"Colvocoresses","given":"A. P.","affiliations":[],"preferred":false,"id":372434,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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