{"pageNumber":"68","pageRowStart":"1675","pageSize":"25","recordCount":1869,"records":[{"id":70160677,"text":"70160677 - 1980 - Landsat image map of the Southern Ḩijāz quadrangle, Kingdom of Saudi Arabia","interactions":[],"lastModifiedDate":"2015-12-28T18:00:22","indexId":"70160677","displayToPublicDate":"2008-12-28T00:00:00","publicationYear":"1980","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Landsat image map of the Southern Ḩijāz quadrangle, Kingdom of Saudi Arabia","docAbstract":"<p>Saudi Arabian Mission<br /> Miscellaneous Map 32<br /> Interagency Report 331</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Jiddah, Saudi Arabia","usgsCitation":"U.S. Geological Survey, and Saudi Arabia. Mudīrīyah al-ʻĀmmah lil-Tharwah al-Maʻdinīyah, 1980, Landsat image map of the Southern Ḩijāz quadrangle, Kingdom of Saudi Arabia, 40.16 x 41.34 inches.","productDescription":"40.16 x 41.34 inches","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":312953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"scale":"500000","projection":"Lambert conformal conic","country":"Saudi Arabia","otherGeospatial":"Red Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              42,\n              24\n            ],\n            [\n              42,\n              20\n            ],\n            [\n              38,\n              20\n            ],\n            [\n              38,\n              24\n            ],\n            [\n              42,\n              24\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56826b44e4b0a04ef4925b6c","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128240,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":583539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saudi Arabia. Mudīrīyah al-ʻĀmmah lil-Tharwah al-Maʻdinīyah","contributorId":147334,"corporation":true,"usgs":false,"organization":"Saudi Arabia. Mudīrīyah al-ʻĀmmah lil-Tharwah al-Maʻdinīyah","id":583540,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70012299,"text":"70012299 - 1980 - Remote sensing data of SP Mountain and SP Lava flow in north-central Arizona","interactions":[],"lastModifiedDate":"2025-07-17T16:21:00.123841","indexId":"70012299","displayToPublicDate":"2003-04-14T00:00:00","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing data of SP Mountain and SP Lava flow in north-central Arizona","docAbstract":"<p>Multifrequency airborne radar image data of SP Mountain [Official name of feature (U.S. Geological Survey, 1970)] and SP flow (and vicinity) in north-central Arizona were obtained in diverse viewing directions and direct and cross-polarization, then compared with surface and aerial photography, LANDSAT multispectral scanner data, airborne thermal infrared imagery, surface geology, and surface roughness statistics. The extremely blocky, basaltic andesite of SP flow is significantly brighter on direct-polarization K-band (0.9-cm wavelength) images than on cross-polarized images taken simultaneously. Conversely, for the longer wavelength (25 cm) L-band radar images, the cross-polarization image returns from SP flow are brighter than the direct-polarized image. This effect is explained by multiple scattering and the strong wavelength dependence of polarization effects caused by the rectilinear basaltic andesite scatters. Two distinct types of surface relief on SP flow, one extremely blocky, the other subdued, are found to be clearly discriminated on the visible and thermal wavelength images but are separable only on the longer wavelength L-band radar image data. The inability of the K- and X- (3-cm wavelength) band radars to portray the differences in roughness between the two SP flow surface units is attributed to the radar frequency dependence of the surface-relief scale, which, described as the Rayleigh criterion, represents the transition between quasispecular and primarily diffuse backscatter.&nbsp;</p>","language":"English","publisher":"Elsevier","doi":"10.1016/0034-4257(80)90005-X","issn":"00344257","usgsCitation":"Schaber, G.G., Elachi, C., and Farr, T., 1980, Remote sensing data of SP Mountain and SP Lava flow in north-central Arizona: Remote Sensing of Environment, v. 9, no. 2, p. 149-170, https://doi.org/10.1016/0034-4257(80)90005-X.","productDescription":"22 p.","startPage":"149","endPage":"170","costCenters":[],"links":[{"id":222710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"SP Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.66197290240515,\n              35.5996036542068\n            ],\n            [\n              -111.66197290240515,\n              35.56964914772462\n            ],\n            [\n              -111.60519861852526,\n              35.56964914772462\n            ],\n            [\n              -111.60519861852526,\n              35.5996036542068\n            ],\n            [\n              -111.66197290240515,\n              35.5996036542068\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6f8e4b0c8380cd8514b","contributors":{"authors":[{"text":"Schaber, G. G.","contributorId":68300,"corporation":false,"usgs":true,"family":"Schaber","given":"G.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":363212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elachi, C.","contributorId":104606,"corporation":false,"usgs":false,"family":"Elachi","given":"C.","affiliations":[],"preferred":false,"id":363213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farr, T.G.","contributorId":49932,"corporation":false,"usgs":true,"family":"Farr","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":363211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039195,"text":"70039195 - 1980 - EROS Data Center","interactions":[],"lastModifiedDate":"2016-11-09T09:34:16","indexId":"70039195","displayToPublicDate":"2000-01-01T15:35:13","publicationYear":"1980","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":362,"text":"General Information Product","active":false,"publicationSubtype":{"id":6}},"title":"EROS Data Center","docAbstract":"The Earth Resources Observation Systems (EROS) Data Center, located in Sioux Falls, SD, is a data management, systems development, and research field center of the U.S. Geological Survey's National Mapping Division. The Center was established in the early 1970's to receive, process, and distribute data from National Aeronautics and Space Administration (NASA) Landsat satellites. The Center holds the world's largest collection of space and aircraft acquired imagery of the Earth. These holdings include over 2 million images acquired from satellites and over 8 million aerial photographs. The Center is also a major focal point for information concerning the holdings of foreign Landsat ground reception stations and data acquired by other countries' Earth observing satellites. The central U.S. location provides the Center with a unique capability to receive real-time electronic signals from Earth orbiting satellites, used for developing data sets of most of the North American continent.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70039195","usgsCitation":"Water Resources Division, U.S. Geological Survey, 1980, EROS Data Center: General Information Product, 4 p. (10 folded p.), https://doi.org/10.3133/70039195.","productDescription":"4 p. (10 folded p.)","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":261362,"rank":800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/70039195/report.pdf","text":"Report","size":"2.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":261363,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/70039195/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0465e4b0c8380cd50962","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":535237,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":46255,"text":"ofr80892F - 1980 - Map showing interpretation of Landsat imagery of the Valdez 1° x 3° quadrangle, southern Alaska","interactions":[],"lastModifiedDate":"2021-11-08T21:57:41.705514","indexId":"ofr80892F","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-892","chapter":"F","title":"Map showing interpretation of Landsat imagery of the Valdez 1° x 3° quadrangle, southern Alaska","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr80892F","usgsCitation":"Le Compte, J., 1980, Map showing interpretation of Landsat imagery of the Valdez 1° x 3° quadrangle, southern Alaska: U.S. Geological Survey Open-File Report 80-892, 1 Plate: 42.03 × 35.29 inches, https://doi.org/10.3133/ofr80892F.","productDescription":"1 Plate: 42.03 × 35.29 inches","costCenters":[],"links":[{"id":83230,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1980/0892f/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":108080,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_11816.htm","linkFileType":{"id":5,"text":"html"},"description":"11816"},{"id":171613,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Valdez 1° x 3° quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147,\n              61\n            ],\n            [\n              -144,\n              61\n            ],\n            [\n              -144,\n              62\n            ],\n            [\n              -147,\n              62\n            ],\n            [\n              -147,\n              61\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4c9a","contributors":{"authors":[{"text":"Le Compte, J. R.","contributorId":41816,"corporation":false,"usgs":true,"family":"Le Compte","given":"J. R.","affiliations":[],"preferred":false,"id":232954,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":42253,"text":"ofr80266 - 1980 - Berry Islands, Bahamas, Landsat inage map","interactions":[],"lastModifiedDate":"2012-02-02T00:10:28","indexId":"ofr80266","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-266","title":"Berry Islands, Bahamas, Landsat inage map","language":"ENGLISH","doi":"10.3133/ofr80266","usgsCitation":"Colvocoresses, A.P., 1980, Berry Islands, Bahamas, Landsat inage map: U.S. Geological Survey Open-File Report 80-266, 2 maps : col. ;39 x 40 cm. on sheet 92 x 61 cm.; 1 p., https://doi.org/10.3133/ofr80266.","productDescription":"2 maps : col. ;39 x 40 cm. on sheet 92 x 61 cm.; 1 p.","costCenters":[],"links":[{"id":172816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62aefe","contributors":{"authors":[{"text":"Colvocoresses, Alden P.","contributorId":72779,"corporation":false,"usgs":true,"family":"Colvocoresses","given":"Alden","email":"","middleInitial":"P.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":226167,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":30237,"text":"wri79102 - 1980 - Evaluation of remote hydrologic data-acquisition systems, west-central Florida","interactions":[],"lastModifiedDate":"2019-08-05T09:27:47","indexId":"wri79102","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"79-102","title":"Evaluation of remote hydrologic data-acquisition systems, west-central Florida","docAbstract":"The study provides an evaluation of the hydrologic applications of a land-line and two satellite data-relay systems operated during 1977-78 in the Southwest Florida Water Management District. These systems were tested to evaluate operational and reliability characteristics. Telephone lines were used to relay data in the land-line system, and the Geostationary Operational Environmental Satellite (GOES) and Land satellite (Landsat) were used in the satellite system. The land-line system was tested for 15 months at a streamflow site. Accurate data were obtained 94% of the time during the test period. Data losses were attributed to telephone-line interference, low-battery voltage, and vandalism. The GOES system was tested at a rainfall site for 17 months. During this period, 79% of the transmissions received from the station were relayed by the GOES system to the U.S. Geological Survey computer, resulting in successful processing of 88% of all possible rainfall observations. On the average, seven data transmissions were completed each day. The Landsat system was tested at a rainfall site for about 17 months and for about 8 months at a streamflow site. During these periods of operation, only about 2% of all data observations for the stations were successfully relayed by the Landsat system to the U.S. Geological Survey computer. An average of about three data transmissions was completed each day for each site. (USGS).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri79102","usgsCitation":"Turner, J., and Woodham, W.M., 1980, Evaluation of remote hydrologic data-acquisition systems, west-central Florida: U.S. Geological Survey Water-Resources Investigations Report 79-102, v, 63 p. , https://doi.org/10.3133/wri79102.","productDescription":"v, 63 p. ","costCenters":[],"links":[{"id":159805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1979/0102/report-thumb.jpg"},{"id":366159,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1979/0102/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.408203125,\n              27.059125784374068\n            ],\n            [\n              -81.6943359375,\n              27.059125784374068\n            ],\n            [\n              -81.6943359375,\n              29.36302703778376\n            ],\n            [\n              -83.408203125,\n              29.36302703778376\n            ],\n            [\n              -83.408203125,\n              27.059125784374068\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67eb8a","contributors":{"authors":[{"text":"Turner, J.F. Jr.","contributorId":88399,"corporation":false,"usgs":true,"family":"Turner","given":"J.F.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":202911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodham, W. M.","contributorId":72356,"corporation":false,"usgs":true,"family":"Woodham","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":202910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":43508,"text":"ofr801307 - 1980 - Index map of Landsat imagery of the Arabian Peninsula","interactions":[],"lastModifiedDate":"2012-02-02T00:11:01","indexId":"ofr801307","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-1307","title":"Index map of Landsat imagery of the Arabian Peninsula","language":"ENGLISH","doi":"10.3133/ofr801307","usgsCitation":"Water Resources Division, U.S. Geological Survey, 1980, Index map of Landsat imagery of the Arabian Peninsula: U.S. Geological Survey Open-File Report 80-1307, 1 map ;64 x 76 cm., https://doi.org/10.3133/ofr801307.","productDescription":"1 map ;64 x 76 cm.","costCenters":[],"links":[{"id":168918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":81161,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1980/1307/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"4000000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f438a","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":531210,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":27632,"text":"wri80111 - 1980 - Evaluating methods for determining water use in the High Plains in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1979","interactions":[],"lastModifiedDate":"2017-09-20T16:58:14","indexId":"wri80111","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-111","title":"Evaluating methods for determining water use in the High Plains in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1979","docAbstract":"The volume and areal distribution of ground-water withdrawals (pumpage) for irrigation during 1980 are required for the High Plains Regional Aquifer-System Analysis. In 1979, approaches and instrumentation that might be suitable for application to 1980 water-use determinations were tested. Pumpage was sampled by monitoring time of operation and discharge of irrigation wells during the growing season. The total volume pumped during the irrigation season was compared to the crop type and acreage irrigated. This comparison provided a means of extending sampled pumpage information to unmonitored areas using irrigated cropland maps. A transient-time flowmeter and a vibration-sensitive timing device proved to be reliable in providing discharge and time of operation information, respectively. Statistical analysis of comparisons between pumpage and irrigated cropland indicated that significant differences existed in the amounts of water applied between flood and sprinkler irrigation systems. However, statistical analyses of differences in amounts of water applied for different crop types and for selected climatic factors were inconclusive. A variety of approaches were tested to develop the irrigated cropland maps needed to extend sampled pumpage data. Of the methods tested, only Landsat data proved to be effective for application to an area as large as the High Plains. The results obtained in the 1979 evaluation of instrumentation and pumpage sampling approaches have been used to formulate a strategy for monitoring irrigation water use in the High Plains in 1980. (USGS)","language":"ENGLISH","publisher":"U.S. Geological Survey, Water Resources Division,","doi":"10.3133/wri80111","usgsCitation":"Heimes, F.J., and Luckey, R.R., 1980, Evaluating methods for determining water use in the High Plains in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1979: U.S. Geological Survey Water-Resources Investigations Report 80-111, v, 118 p. :ill., maps ;26 cm., https://doi.org/10.3133/wri80111.","productDescription":"v, 118 p. :ill., maps ;26 cm.","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":158786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1980/0111/report-thumb.jpg"},{"id":266241,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1980/0111/report.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db696e89","contributors":{"authors":[{"text":"Heimes, Frederick J.","contributorId":20787,"corporation":false,"usgs":true,"family":"Heimes","given":"Frederick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":198446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luckey, Richard R.","contributorId":17980,"corporation":false,"usgs":true,"family":"Luckey","given":"Richard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":198445,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":24474,"text":"ofr80721 - 1980 - Mineral reconnaissance in the Chagai District, Pakistan, using a four-dimensional vector method of digital classification of Landsat data","interactions":[],"lastModifiedDate":"2012-02-02T00:08:09","indexId":"ofr80721","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-721","title":"Mineral reconnaissance in the Chagai District, Pakistan, using a four-dimensional vector method of digital classification of Landsat data","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/ofr80721","issn":"0094-9140","usgsCitation":"Schmidt, R.G., 1980, Mineral reconnaissance in the Chagai District, Pakistan, using a four-dimensional vector method of digital classification of Landsat data: U.S. Geological Survey Open-File Report 80-721, 41 p., 2 over-size sheets, :maps ;28 cm., https://doi.org/10.3133/ofr80721.","productDescription":"41 p., 2 over-size sheets, :maps ;28 cm.","costCenters":[],"links":[{"id":156474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1980/0721/report-thumb.jpg"},{"id":53538,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1980/0721/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":53539,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1980/0721/plate-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":53540,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1980/0721/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db6359f4","contributors":{"authors":[{"text":"Schmidt, Robert Gordon","contributorId":39355,"corporation":false,"usgs":true,"family":"Schmidt","given":"Robert","email":"","middleInitial":"Gordon","affiliations":[],"preferred":false,"id":191991,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":8401,"text":"ofr80102 - 1980 - Status of USGS effort towards water depth determination with Landsat imagery","interactions":[],"lastModifiedDate":"2025-09-16T13:39:47.282615","indexId":"ofr80102","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-102","title":"Status of USGS effort towards water depth determination with Landsat imagery","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr80102","usgsCitation":"Colvocoresses, A.P., 1980, Status of USGS effort towards water depth determination with Landsat imagery: U.S. Geological Survey Open-File Report 80-102, 7 p., https://doi.org/10.3133/ofr80102.","productDescription":"7 p.","costCenters":[],"links":[{"id":142149,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1980/0102/report-thumb.jpg"},{"id":495519,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1980/0102/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bcf6","contributors":{"authors":[{"text":"Colvocoresses, Alden P.","contributorId":72779,"corporation":false,"usgs":true,"family":"Colvocoresses","given":"Alden","email":"","middleInitial":"P.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":157659,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":13140,"text":"ofr80265 - 1980 - Heat Capacity Mapping Mission (HCMM) thermal surface water mapping and its correlation to Landsat","interactions":[],"lastModifiedDate":"2024-03-04T22:31:48.646146","indexId":"ofr80265","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1980","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":"80-265","title":"Heat Capacity Mapping Mission (HCMM) thermal surface water mapping and its correlation to Landsat","docAbstract":"<p>The Heat Capacity Mapping Mission (HCMM) involves a relatively simple satellite recording the radiation from the Earth in the thermal band (10.5 to 12.5 <span>μ</span>m) using an instantaneous field-of-view (IFOV, \"footprint\" or pixel) of 600 x 600 m. The enclosed graphics illustrate HCMM thermal mapping of water bodies as applied to Lake Anna. The HCMM digital data were produced by NASA and processed by the National Oceanographic and Atmospheric Administration/National Environmental Satellite Service (NOAA/NESS) into image and line-printer form for the U.S. Geological Survey. A Landsat image of Lake Anna illustrates the relationship between the Landsat multispectral scanner (MSS) and the HCMM data as now processed by NASA through their Image Processing Facility (IPF) which transforms the data to the same distortion-free Hotine Oblique Mercator (HOM) map projection. Spatial correlation of the two images is relatively simple by either analog or digital means and the HCMM image has a potential accuracy (root-mean-square error--rmse) approaching the 80 m of the original Landsat data.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr80265","usgsCitation":"Colvocoresses, A.P., 1980, Heat Capacity Mapping Mission (HCMM) thermal surface water mapping and its correlation to Landsat: U.S. Geological Survey Open-File Report 80-265, 2 p., https://doi.org/10.3133/ofr80265.","productDescription":"2 p.","costCenters":[],"links":[{"id":145302,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1980/0265/report-thumb.jpg"},{"id":426284,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1980/0265/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6ae4b07f02db63d197","contributors":{"authors":[{"text":"Colvocoresses, Alden P.","contributorId":72779,"corporation":false,"usgs":true,"family":"Colvocoresses","given":"Alden","email":"","middleInitial":"P.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":167303,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159087,"text":"70159087 - 1980 - A survey of image processing developments in support of remote sensing","interactions":[],"lastModifiedDate":"2017-01-18T15:03:42","indexId":"70159087","displayToPublicDate":"1981-01-01T00:00:00","publicationYear":"1980","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"A survey of image processing developments in support of remote sensing","docAbstract":"<p>New algorithm developments for image processing (IP) will occur throughout the 1980's, resulting from evolution in computer hardware and sensors as well as continuing research. This report will describe the areas of algorithm development that are occurring in applications, research, and operational environments. Included is an overview of image processing activities at institutions which are generally regarded as leaders in IP algorithm development and implementation. Finally, this report addresses directions in IP algorithm development that are being proposed for the EROS Data Center (EDC). The major applications of IP at EDC are developed for use in the processing, analysis, and extraction of remote sensing information from Landsat and aircraft data (platforms).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Sioux Falls, SD","doi":"10.3133/70159087","usgsCitation":"Bauer, B.P., 1980, A survey of image processing developments in support of remote sensing, iv, 33 p., https://doi.org/10.3133/70159087.","productDescription":"iv, 33 p.","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":309915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70159087.jpg"},{"id":310361,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/70159087/report.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620ce47e4b06217fc478aba","contributors":{"authors":[{"text":"Bauer, Brian P.","contributorId":58946,"corporation":false,"usgs":true,"family":"Bauer","given":"Brian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":577567,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231349,"text":"70231349 - 1980 - Environmental stratification — A method to improve Landsat digital analysis accuracy and land cover map utility","interactions":[],"lastModifiedDate":"2022-05-06T14:46:46.733007","indexId":"70231349","displayToPublicDate":"1980-05-01T09:42:29","publicationYear":"1980","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Environmental stratification — A method to improve Landsat digital analysis accuracy and land cover map utility","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 14th International Symposium on Remote Sensing of the Environment","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th International Symposium on Remote Sensing of the Environment","conferenceDate":"April 23-30, 1980","conferenceLocation":"San José, Costa Rica","language":"English","publisher":"University of Michigan","usgsCitation":"Pettinger, L.R., 1980, Environmental stratification — A method to improve Landsat digital analysis accuracy and land cover map utility, <i>in</i> Proceedings of the 14th International Symposium on Remote Sensing of the Environment, v. 3, San José, Costa Rica, April 23-30, 1980, p. 1587-1599.","productDescription":"13 p.","startPage":"1587","endPage":"1599","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":400287,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://symposia.org/past_symposia.htm"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pettinger, L. R.","contributorId":85949,"corporation":false,"usgs":true,"family":"Pettinger","given":"L.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":842357,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112924,"text":"70112924 - 1980 - Need for new sensors to map lithologic units","interactions":[],"lastModifiedDate":"2014-06-18T12:32:41","indexId":"70112924","displayToPublicDate":"1980-04-17T12:14:02","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3393,"text":"Sixth Annual Pecora Symposium and Exposition","active":true,"publicationSubtype":{"id":10}},"title":"Need for new sensors to map lithologic units","docAbstract":"<p>One of the most important contributions that remote sensing can make to mineral energy explorations to provide data from satellites to augment regional geological mapping.  Geologic maps, which show information on the subsurface, are the main basis for formulating models of resource genesis that guide exploration.  However, conventional compilation procedures are time-consuming and therefore often slow the pace of exploration, especially in large, inaccessible areas.  Landsat Multispectral Scanner (MSS) images have been applied to a wide variety of specific geological problems, including discrimination of lithologic and delineation of previously unrecognized tectonic features.  However, these lithologic distinctions are based on brightness, spectral reflectance, and, less commonly, the morphology of the unit, which in the wavelength region of MSS images are only rarely diagnostic of specific mineralogical content.  Limonite is the only lithological material that can be identified be analyzing MSS spectral radiance.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sixth Annual Pecora Symposium and Exposition","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","usgsCitation":"Rowan, L.C., 1980, Need for new sensors to map lithologic units: Sixth Annual Pecora Symposium and Exposition, p. 106-107.","productDescription":"2 p.","startPage":"106","endPage":"107","numberOfPages":"2","costCenters":[],"links":[{"id":288806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7783e4b0abf75cf2c164","contributors":{"editors":[{"text":"Barringer, Anthony R.","contributorId":112053,"corporation":false,"usgs":true,"family":"Barringer","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":509905,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Rowan, Lawrence C.","contributorId":58629,"corporation":false,"usgs":true,"family":"Rowan","given":"Lawrence","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":494945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112914,"text":"70112914 - 1980 - Integration of geological, geochemical, and geophysical spatial data of the Cement oil field, Oklahoma, test site","interactions":[],"lastModifiedDate":"2014-06-18T11:34:49","indexId":"70112914","displayToPublicDate":"1980-04-16T11:29:37","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3393,"text":"Sixth Annual Pecora Symposium and Exposition","active":true,"publicationSubtype":{"id":10}},"title":"Integration of geological, geochemical, and geophysical spatial data of the Cement oil field, Oklahoma, test site","docAbstract":"<p>Measurement pertaining to geology, geochemistry, and geophysics of the Cement oil field, Oklahoma, test site were collected employing both airborne sensors and ground-based data collection. The measurements include: (1) airborne gamma-ray spectrometry (supplying bismuth 214, thalium 208, and potassium 40 gamma-ray intensities); (2) aeromagnetic survey data; (3) multi-frequency airborne resistivity survey data (supplying apparent electrical resistivity of near surface materials); (4) gravity data; (5) geological and topographic maps; and (6) image data from Landsat MSS and U-2 photography.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sixth Annual Pecora Symposium and Exposition","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","usgsCitation":"Termain, P.A., Donovan, T.J., and Chavez, P.S., 1980, Integration of geological, geochemical, and geophysical spatial data of the Cement oil field, Oklahoma, test site: Sixth Annual Pecora Symposium and Exposition, p. 57-57.","productDescription":"1 p.","startPage":"57","endPage":"57","numberOfPages":"1","costCenters":[],"links":[{"id":288797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Cement Oil Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.9512937,36.034963 ], [ -95.9512937,36.0350408 ], [ -95.9512492,36.0350408 ], [ -95.9512492,36.034963 ], [ -95.9512937,36.034963 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7750e4b0abf75cf2c0f2","contributors":{"editors":[{"text":"Barringer, Anthony R.","contributorId":112053,"corporation":false,"usgs":true,"family":"Barringer","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":509901,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Termain, Patricia A.","contributorId":12852,"corporation":false,"usgs":true,"family":"Termain","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Terrence J.","contributorId":71529,"corporation":false,"usgs":true,"family":"Donovan","given":"Terrence","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chavez, Pat S.","contributorId":82308,"corporation":false,"usgs":true,"family":"Chavez","given":"Pat","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":494916,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70112911,"text":"70112911 - 1980 - Considerations for blending data from various sensors","interactions":[],"lastModifiedDate":"2014-06-18T11:26:44","indexId":"70112911","displayToPublicDate":"1980-04-16T10:58:00","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3393,"text":"Sixth Annual Pecora Symposium and Exposition","active":true,"publicationSubtype":{"id":10}},"title":"Considerations for blending data from various sensors","docAbstract":"<p>A project is being proposed at the EROS Data Center to blend the information from sensors aboard various satellites.  The problems of, and considerations for, blending data from several satellite-borne sensors are discussed.  System descriptions of the sensors aboard the HCMM, TIROS-N, GOES-D, Landsat 3, Landsat D, Seasat, SPOT, Stereosat, and NOSS satellites, and the quantity, quality, image dimensions, and availability of these data are summaries to define attributes of a multi-sensor satellite data base.</p>\n<br/>\n<p>Unique configurations of equipment, storage, media, and specialized hardware to meet the data system requirement are described as well as archival media and improved sensors that will be on-line within the next 5 years.  Definitions and rigor required for blending various sensor data are given.  Problems of merging data from the same sensor (intrasensor comparison) and from different sensors (intersensor comparison), the characteristics and advantages of cross-calibration of data, and integration of data into a product matrix field are addressed.  Data processing considerations as affected by formation, resolution, and problems of merging large data sets, and organization of data bases for blending data are presented.  Examples utilizing GOES and Landsat data are presented to demonstrate techniques of data blending, and recommendations for future implementation of a set of standard scenes and their characteristics necessary for optimal data blending are discussed.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sixth Annual Pecora Symposium and Exposition","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","usgsCitation":"Bauer, B.P., 1980, Considerations for blending data from various sensors: Sixth Annual Pecora Symposium and Exposition, p. 56-56.","productDescription":"1 p.","startPage":"56","endPage":"56","numberOfPages":"1","costCenters":[],"links":[{"id":288796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7660e4b0abf75cf2bf50","contributors":{"editors":[{"text":"Barringer, Anthony R.","contributorId":112053,"corporation":false,"usgs":true,"family":"Barringer","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":509900,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bauer, Brian P.","contributorId":58946,"corporation":false,"usgs":true,"family":"Bauer","given":"Brian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":494912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112908,"text":"70112908 - 1980 - Digital mapping of limonitic rocks by using Landsat MSS radio data","interactions":[],"lastModifiedDate":"2014-06-18T10:38:09","indexId":"70112908","displayToPublicDate":"1980-04-15T10:30:00","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3393,"text":"Sixth Annual Pecora Symposium and Exposition","active":true,"publicationSubtype":{"id":10}},"title":"Digital mapping of limonitic rocks by using Landsat MSS radio data","docAbstract":"<p>Color-ratio composite images of Landsat MSS (multi-spectral scanner) bands have been used by other workers to map the distribution of limonitic rocks in semi-arid and arid areas as possible indicators of hydrothermal alteration (Rowan et al, 1974).  The images are particularly useful for broad overviews, but detailed analysis at large scales requires both numerical analysis of the ratio values to distinguish consistently among categories of limonitic rocks and a precise transfer of the data to large-scale base maps.  Both requirements can be met by digital classification followed by a precise geometric registration of the classified data.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sixth Annual Pecora Symposium and Exposition","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","usgsCitation":"Podwysocki, M.H., Segal, D.B., and Simpson, S., 1980, Digital mapping of limonitic rocks by using Landsat MSS radio data: Sixth Annual Pecora Symposium and Exposition, p. 49-51.","productDescription":"3 p.","startPage":"49","endPage":"51","numberOfPages":"3","costCenters":[],"links":[{"id":288779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7683e4b0abf75cf2bf7f","contributors":{"editors":[{"text":"Barringer, Anthony R.","contributorId":112053,"corporation":false,"usgs":true,"family":"Barringer","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":509898,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Podwysocki, Melvin H.","contributorId":60220,"corporation":false,"usgs":true,"family":"Podwysocki","given":"Melvin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":494910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Segal, Donald B.","contributorId":40223,"corporation":false,"usgs":true,"family":"Segal","given":"Donald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":494908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Shirley","contributorId":48100,"corporation":false,"usgs":true,"family":"Simpson","given":"Shirley","affiliations":[],"preferred":false,"id":494909,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231445,"text":"70231445 - 1980 - High throughput Landsat imagery film recorder","interactions":[],"lastModifiedDate":"2022-05-10T17:48:51.594749","indexId":"70231445","displayToPublicDate":"1980-02-12T12:38:55","publicationYear":"1980","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"High throughput Landsat imagery film recorder","docAbstract":"<p>The Earth Resources Observation Systems (EROS) Data Center is responsible for processing, archiving, reproducing, and distributing satellite and aircraft remotely-sensed Earth imagery data in both film and digital format. Landsat Multispectral Scanner (MSS) and Return Beam Vidicon (RBV) sensor data alone represents a daily recording requirement of 23 billion pixels on 1000 feet of film. New satellites and sensors may double this amount of data within two years. To handle these requirements, the EROS Data Center installed an operational, multi-mode, programmable, high throughput, high resolution laser-beam film recording system directly on-line to the primary digital image processing computer. This system employs an Argon-Ion laser light source, electro-optic modulator, and rotating mirror to expose film in a flat-field line-scanned format at rates up to 400 lines per second. Laboratory-type requirements, such as a geometric fidelity of ± 0.05% and density repeatability within ± 0.05D, are maintained in a high-throughput production environment. To provide for future sensor formats, the scan rate, scanning spot size, film velocity, laser power, and number of overscans are firmware programmable for up to 16 on-line, auto-matically selectable configurations.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 0200, Laser Recording and Information Handling","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"23rd Annual Technical Symposium","conferenceDate":"1979","conferenceLocation":"San Diego, California, United States","language":"English","publisher":"Society of Photo-Optical Instrumentation Engineers","doi":"10.1117/12.958075","usgsCitation":"Ulmer, D.E., 1980, High throughput Landsat imagery film recorder, <i>in</i> Proceedings Volume 0200, Laser Recording and Information Handling, v. 200, San Diego, California, United States, 1979, p. 114-124, https://doi.org/10.1117/12.958075.","productDescription":"11 p.","startPage":"114","endPage":"124","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"200","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ulmer, David E.","contributorId":291593,"corporation":false,"usgs":false,"family":"Ulmer","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":842627,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236564,"text":"70236564 - 1980 - Vegetation and terrain mapping of Lake Mead National Recreation Area using LANDSAT digital data","interactions":[],"lastModifiedDate":"2022-09-09T19:12:11.041245","indexId":"70236564","displayToPublicDate":"1980-01-01T13:55:49","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12583,"text":"Professional Paper","active":false,"publicationSubtype":{"id":10}},"title":"Vegetation and terrain mapping of Lake Mead National Recreation Area using LANDSAT digital data","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Department of Geography and Geology, Indiana State University","usgsCitation":"Todd, W.J., and Gehring, D.G., 1980, Vegetation and terrain mapping of Lake Mead National Recreation Area using LANDSAT digital data: Professional Paper, p. 3-24.","productDescription":"22 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,{"id":70236972,"text":"70236972 - 1980 - An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans","interactions":[],"lastModifiedDate":"2022-09-23T17:51:37.428651","indexId":"70236972","displayToPublicDate":"1980-01-01T12:37:08","publicationYear":"1980","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":222,"text":"Technical Report","active":false,"publicationSubtype":{"id":3}},"title":"An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans","docAbstract":"<p>During the past decade, numerous studies have demonstrated the potential of satellite remote sensing for providing accurate and timely crop area information. This study assessed the impact of Landsat data acquisition history on classification and area estimation accuracy of corn and soybeans.</p><p>Multitemporally registered Landsat MSS data from four acquisitions during the 1978 growing season were used in classification of eight sample segments in the U.S. Corn Belt. The results illustrate the importance of selecting Landsat acquisitions based on spectral differences in crops at certain growth stages.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"LARS technical reports","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Laboratory for Applications of Remote Sensing","usgsCitation":"Hixon, M., Bauer, M.E., and Scholz, D.K., 1980, An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans: Technical Report, 53, 6 p.","productDescription":"53, 6 p.","startPage":"72","endPage":"77","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":407277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407276,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://docs.lib.purdue.edu/larstech/53/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hixon, M.A.","contributorId":111865,"corporation":false,"usgs":true,"family":"Hixon","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":852871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauer, M. E.","contributorId":35605,"corporation":false,"usgs":true,"family":"Bauer","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":852872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholz, Donna K.","contributorId":105135,"corporation":false,"usgs":true,"family":"Scholz","given":"Donna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":852873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236967,"text":"70236967 - 1980 - Monitoring irrigated land acreage in the Klamath River Basin of Oregon using Landsat imagery","interactions":[],"lastModifiedDate":"2022-09-23T16:17:42.71071","indexId":"70236967","displayToPublicDate":"1980-01-01T11:07:18","publicationYear":"1980","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring irrigated land acreage in the Klamath River Basin of Oregon using Landsat imagery","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Identifying irrigated lands using remote sensing techniques: State of the art: Symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Identifying irrigated lands using remote sensing techniques: State of the art","conferenceDate":"November 15-16, 1979","conferenceLocation":"Downtown Holiday Inn, Sioux Falls, South Dakota, United States","language":"English","publisher":"U. S. Geological Survey","usgsCitation":"Draeger, W.C., 1980, Monitoring irrigated land acreage in the Klamath River Basin of Oregon using Landsat imagery, <i>in</i> Identifying irrigated lands using remote sensing techniques: State of the art: Symposium proceedings, Downtown Holiday Inn, Sioux Falls, South Dakota, United States, November 15-16, 1979, p. 64-70.","productDescription":"7 p.","startPage":"64","endPage":"70","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":407264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Klamath River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.49755859375,\n              42.049292638686836\n            ],\n            [\n              -117.344970703125,\n              42.01665183556825\n            ],\n            [\n              -117.23510742187501,\n              42.771211138625894\n            ],\n            [\n              -117.147216796875,\n              43.57243174740972\n            ],\n            [\n              -117.828369140625,\n              44.4808302785626\n            ],\n            [\n              -119.39941406249999,\n              44.83249999349062\n            ],\n            [\n              -120.970458984375,\n              44.25306865928177\n            ],\n            [\n              -121.10229492187501,\n              43.16512263158296\n            ],\n            [\n              -122.508544921875,\n              42.431565872579185\n            ],\n            [\n              -122.49755859375,\n              42.049292638686836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Draeger, William C.","contributorId":46522,"corporation":false,"usgs":true,"family":"Draeger","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":852858,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70012291,"text":"70012291 - 1980 - Measurement of irrigated acreage in Western Kansas from LANDSAT images","interactions":[],"lastModifiedDate":"2012-03-12T17:19:01","indexId":"70012291","displayToPublicDate":"1980-01-01T00:00:00","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1539,"text":"Environmental Geology","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of irrigated acreage in Western Kansas from LANDSAT images","docAbstract":"In the past four decades, irrigated acreage in western Kansas has increased rapidly. Optimum utilization of vital groundwater supplies requires implementation of long-term water-management programs. One important variable in such programs is up-to-date information on acreage under irrigation. Conventional ground survey methods of estimating irrigated acreage are too slow to be of maximum use in water-management programs. Visual interpretation of LANDSAT images permits more rapid measurement of irrigated acreage, but procedures are tedious and still relatively slow. For example, using a LANDSAT false-color composite image in areas of western Kansas with few landmarks, it is impossible to keep track of fields by examination under low-power microscope. Irrigated fields are more easily delineated on a photographically enlarged false-color composite and are traced on an overlay for measurement. Interpretation and measurement required 6 weeks for a four-county (3140 mi2, 8133 km2) test area. Video image-analysis equipment permits rapid measurement of irrigated acreage. Spectral response of irrigated summer crops in western Kansas on MSS band 5 (visible red, 0.6-0.7 ??m) images is low in contrast to high response from harvested and fallow fields and from common soil types. Therefore, irrigated acreage in western Kansas can be uniquely discriminated by video image analysis. The area of irrigated crops in a given area of view is measured directly. Sources of error are small in western Kansas. After preliminary preparation of the images, the time required to measure irrigated acreage was 1 h per county (average area, 876 ml2 or 2269 km2). ?? 1980 Springer-Verlag New York Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisherLocation":"Springer-Verlag","doi":"10.1007/BF02473477","issn":"09430105","usgsCitation":"Keene, K., and Conley, C., 1980, Measurement of irrigated acreage in Western Kansas from LANDSAT images: Environmental Geology, v. 3, no. 2, p. 107-116, https://doi.org/10.1007/BF02473477.","startPage":"107","endPage":"116","numberOfPages":"10","costCenters":[],"links":[{"id":205265,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/BF02473477"},{"id":222586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a530be4b0c8380cd6c846","contributors":{"authors":[{"text":"Keene, K.M.","contributorId":63171,"corporation":false,"usgs":true,"family":"Keene","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":363196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conley, C.D.","contributorId":51888,"corporation":false,"usgs":true,"family":"Conley","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":363195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":96323,"text":"96323 - 1980 - Enumeration of prairie wetlands with Landsat and aircraft data. Photogrammetric Engineering and Remote Sensing","interactions":[],"lastModifiedDate":"2012-02-02T00:03:54","indexId":"96323","displayToPublicDate":"1980-01-01T00:00:00","publicationYear":"1980","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Enumeration of prairie wetlands with Landsat and aircraft data. Photogrammetric Engineering and Remote Sensing","docAbstract":"No abstract available at this time","language":"English","usgsCitation":"Gilmer, D., Work, E., Colwell, J., and Rebel, D., 1980, Enumeration of prairie wetlands with Landsat and aircraft data. Photogrammetric Engineering and Remote Sensing, v. 46, p. 631-634.","productDescription":"p. 631-634","startPage":"631","endPage":"634","numberOfPages":"4","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":127403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db6025dd","contributors":{"authors":[{"text":"Gilmer, D.S.","contributorId":22270,"corporation":false,"usgs":true,"family":"Gilmer","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":299432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, E.A. Jr.","contributorId":33654,"corporation":false,"usgs":true,"family":"Work","given":"E.A.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":299433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colwell, J.E.","contributorId":79048,"corporation":false,"usgs":true,"family":"Colwell","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":299435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rebel, D.L.","contributorId":74700,"corporation":false,"usgs":true,"family":"Rebel","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":299434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70011931,"text":"70011931 - 1980 - Landsat detection of oil from natural seeps","interactions":[],"lastModifiedDate":"2017-01-18T15:03:19","indexId":"70011931","displayToPublicDate":"1980-01-01T00:00:00","publicationYear":"1980","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat detection of oil from natural seeps","docAbstract":"Oil on the ocean surface from the natural seeps in the Santa Barbara Channel, California, could not be detected on frames of any of the four bands of standard Landsat positive or negative film transparencies, nor could the slicks be detected using digital scaling, density slicing, or ratioing techniques. Digital contrast-stretch enhancement, however, showed the distribution of oil on the surface. - from Authors","language":"English","usgsCitation":"Deutsch, M., and Estes, J.E., 1980, Landsat detection of oil from natural seeps: Photogrammetric Engineering and Remote Sensing, v. 46, no. 10, p. 1313-1322.","productDescription":"10 p.","startPage":"1313","endPage":"1322","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":221004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43d5e4b0c8380cd6665a","contributors":{"authors":[{"text":"Deutsch, M.","contributorId":19707,"corporation":false,"usgs":true,"family":"Deutsch","given":"M.","email":"","affiliations":[],"preferred":false,"id":362323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Estes, J. E.","contributorId":80378,"corporation":false,"usgs":true,"family":"Estes","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":362324,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70142195,"text":"70142195 - 1980 - Resolving the percentage of component terrains within single resolution elements","interactions":[],"lastModifiedDate":"2017-01-18T15:04:36","indexId":"70142195","displayToPublicDate":"1980-01-01T00:00:00","publicationYear":"1980","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":"Resolving the percentage of component terrains within single resolution elements","docAbstract":"<p>An approximate maximum likelihood technique employing a widely available (BMD) discriminant analysis program has been developed for resolving the percentage of component terrains within single resolution elements. The method employs all four channels of Landsat data simultaneously and does not require prior knowledge of the percentage of components in mixed pixels. For five test cases, the method proved to be superior to single band weighted average and linear regression techniques and permitted an estimate of the total area occupied by component terrains to within 6 percent of the true area covered. It is believed this accuracy should be sufficient for many geologic applications of Landsat multispectral data.</p>","language":"English","publisher":"American Society of Photogrammetry and Remote Sensing","usgsCitation":"Marsh, S., Switzer, P., and Kowalik, W.S., 1980, Resolving the percentage of component terrains within single resolution elements: Photogrammetric Engineering and Remote Sensing, v. 46, no. 8, p. 1079-1086.","productDescription":"8 p.","startPage":"1079","endPage":"1086","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f597cce4b02419550d2f4f","contributors":{"authors":[{"text":"Marsh, S.E.","contributorId":70922,"corporation":false,"usgs":true,"family":"Marsh","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":541710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Switzer, P.","contributorId":66432,"corporation":false,"usgs":true,"family":"Switzer","given":"P.","email":"","affiliations":[],"preferred":false,"id":541711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalik, William S.","contributorId":11609,"corporation":false,"usgs":true,"family":"Kowalik","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":541712,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}