No abstract available.
","language":"English","publisher":"U.S. Geological Survey,","doi":"10.3133/ofr86471","usgsCitation":"Pohn, H., 1986, Radar and Landsat lineament maps of the Glens Falls 1° x 2° quadrangle - New York, Vermont, and New Hampshire: U.S. Geological Survey Open-File Report 86-471, Report: 7 p.; 2 Plates: 34.18 × 19.11 inches and 33.24 × 19.14 inches, https://doi.org/10.3133/ofr86471.","productDescription":"Report: 7 p.; 2 Plates: 34.18 × 19.11 inches and 33.24 × 19.14 inches","costCenters":[],"links":[{"id":389127,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_42278.htm"},{"id":44432,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1986/0471/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":44431,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1986/0471/plate-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":44430,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1986/0471/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":148666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1986/0471/report-thumb.jpg"}],"country":"United States","state":"New Hampshire, New York, Vermont","otherGeospatial":"Glens Falls 1° x 2° quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.0,\n 43\n ],\n [\n -72,\n 43\n ],\n [\n -72,\n 44\n ],\n [\n -74.0,\n 44\n ],\n [\n -74.0,\n 43\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db649e02","contributors":{"authors":[{"text":"Pohn, H. A.","contributorId":6912,"corporation":false,"usgs":true,"family":"Pohn","given":"H. A.","affiliations":[],"preferred":false,"id":171180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":27633,"text":"wri864092 - 1986 - Evaluation of sampling methods used to estimate irrigation pumpage in Chase, Dundy, and Perkins counties, Nebraska","interactions":[],"lastModifiedDate":"2012-02-02T00:08:40","indexId":"wri864092","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1986","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":"86-4092","title":"Evaluation of sampling methods used to estimate irrigation pumpage in Chase, Dundy, and Perkins counties, Nebraska","docAbstract":"Combining estimates of applied irrigation water, determined for selected sample sites, with information on irrigated acreage provides one alternative for developing areal estimates of groundwater pumpage for irrigation. The reliability of this approach was evaluated by comparing estimated pumpage with metered pumpage for two years for a three-county area in southwestern Nebraska. Meters on all irrigation wells in the three counties provided a complete data set for evaluation of equipment and comparison with pumpage estimates. Regression analyses were conducted on discharge, time-of-operation, and pumpage data collected at 52 irrigation sites in 1983 and at 57 irrigation sites in 1984 using data from inline flowmeters as the independent variable. The standard error of the estimate for regression analysis of discharge measurements made using a portable flowmeter was 6.8% of the mean discharge metered by inline flowmeters. The standard error of the estimate for regression analysis of time of operation determined from electric meters was 8.1% of the mean time of operation determined from in-line and 15.1% for engine-hour meters. Sampled pumpage, calculated by multiplying the average discharge obtained from the portable flowmeter by the time of operation obtained from energy or hour meters, was compared with metered pumpage from in-line flowmeters at sample sites. The standard error of the estimate for the regression analysis of sampled pumpage was 10.3% of the mean of the metered pumpage for 1983 and 1984 combined. The difference in the mean of the sampled pumpage and the mean of the metered pumpage was only 1.8% for 1983 and 2.3% for 1984. Estimated pumpage, for each county and for the study area, was calculated by multiplying application (sampled pumpage divided by irrigated acreages at sample sites) by irrigated acreage compiled from Landsat (Land satellite) imagery. Estimated pumpage was compared with total metered pumpage for each county and the study area. Estimated pumpage by county varied from 9% less, to 20% more, than metered pumpage in 1983 and from 0 to 15% more than metered pumpage in 1984. Estimated pumpage for the study area was 11 % more than metered pumpage in 1983 and 5% more than metered pumpage in 1984. (Author 's abstract)","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/wri864092","usgsCitation":"Heimes, F., Luckey, R.R., and Stephens, D., 1986, Evaluation of sampling methods used to estimate irrigation pumpage in Chase, Dundy, and Perkins counties, Nebraska: U.S. Geological Survey Water-Resources Investigations Report 86-4092, iv, 27 p. :ill., maps ;28 cm., https://doi.org/10.3133/wri864092.","productDescription":"iv, 27 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":123332,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1986/4092/report-thumb.jpg"},{"id":56498,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1986/4092/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683696","contributors":{"authors":[{"text":"Heimes, F.J.","contributorId":60654,"corporation":false,"usgs":true,"family":"Heimes","given":"F.J.","affiliations":[],"preferred":false,"id":198448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luckey, R. R.","contributorId":93055,"corporation":false,"usgs":true,"family":"Luckey","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":198449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, D.M.","contributorId":42970,"corporation":false,"usgs":true,"family":"Stephens","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":198447,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":68224,"text":"ha691 - 1986 - Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon","interactions":[{"subject":{"id":43378,"text":"ofr84452 - 1984 - Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon","indexId":"ofr84452","publicationYear":"1984","noYear":false,"title":"Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon"},"predicate":"SUPERSEDED_BY","object":{"id":68224,"text":"ha691 - 1986 - Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon","indexId":"ha691","publicationYear":"1986","noYear":false,"title":"Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon"},"id":1}],"lastModifiedDate":"2013-11-12T15:07:25","indexId":"ha691","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":318,"text":"Hydrologic Atlas","code":"HA","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"691","title":"Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon","docAbstract":"Prompted by the need for a current, accurate, and repeatable delineation of irrigated acreage on the Snake River Plain, the U.S. Geological Survey entered into a cooperative agreement with the Idaho Department of Water Resources Image Analysis Facility and the U.S. Bureau of Reclamation to delineate 1980 land use form Landsat data. Irrigated acreage data were needed as input to groundwater flow models developed by the U.S. Geological Survey in a study of the regional aquifer system underlying the Snake River Plain. Single-date digital multispectral scanner data analyzed to delineate land-use classes. Source of irrigation water (surface water, ground water, and combined) was determined from county maps of 1975 water-related land use, data from previous investigations, and field checking. Surface-water diversions for irrigation on the Snake River Plain began in the 1840's. With the stimulus of Federal aid authorized by the Desert Land Act, Carey Act, and Reclamation Act, irrigated area increased rapidly in the early 1900's. By 1929, 2.2 million acres were irrigated. Ground water became and important source of irrigation water after World War II. In 1980, about 3.1 million acres of the Snake River Plain were irrigate: 2.0 million acres with surface water, 1.0 million with ground water, and 0.1 million with combined surface and ground water. About 5.2 million acres (half of the plain) are undeveloped rangeland, 1.0 million acres (one-tenth) are classified as barren. The remaining land is a mixture of dryland agriculture, water bodies, wetland, forests, and urban areas.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ha691","usgsCitation":"Lindholm, G.F., and Goodell, S.A., 1986, Irrigated acreage and other land uses on the Snake River Plain, Idaho and eastern Oregon: U.S. Geological Survey Hydrologic Atlas 691, 1 Plate: 43.90 x 33.00 inches, https://doi.org/10.3133/ha691.","productDescription":"1 Plate: 43.90 x 33.00 inches","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":187949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":89581,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ha/691/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"500000","datum":"National Geodetic Vertical Datum of 1929","country":"United States","state":"Idaho;Oregon","otherGeospatial":"Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,42.0 ], [ -117.25,44.5 ], [ -111.5,44.5 ], [ -111.5,42.0 ], [ -117.25,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db667289","contributors":{"authors":[{"text":"Lindholm, Gerald F.","contributorId":18374,"corporation":false,"usgs":true,"family":"Lindholm","given":"Gerald","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":277869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodell, S. A.","contributorId":38168,"corporation":false,"usgs":true,"family":"Goodell","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":277870,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":15575,"text":"ofr8667 - 1986 - Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde Valleys, Arizona and California","interactions":[{"subject":{"id":15575,"text":"ofr8667 - 1986 - Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde Valleys, Arizona and California","indexId":"ofr8667","publicationYear":"1986","noYear":false,"title":"Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde Valleys, Arizona and California"},"predicate":"SUPERSEDED_BY","object":{"id":2572,"text":"wsp2334 - 1989 - Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde valleys, Arizona and California","indexId":"wsp2334","publicationYear":"1989","noYear":false,"title":"Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde valleys, Arizona and California"},"id":1}],"supersededBy":{"id":2572,"text":"wsp2334 - 1989 - Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde valleys, Arizona and California","indexId":"wsp2334","publicationYear":"1989","noYear":false,"title":"Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde valleys, Arizona and California"},"lastModifiedDate":"2022-02-04T16:02:53.826756","indexId":"ofr8667","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1986","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":"86-67","title":"Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde Valleys, Arizona and California","docAbstract":"In 1981 the U.S. Geological Survey established an experimental project to assess the possible and practical use of remote sensing data to estimate evapotranspiration as an approximation of consumptive use in the lower Colorado River flood plain. The project area was in Parker Valley, Arizona. The approach selected was to measure the areas covered by each type of vegetation using remote sensing data in various types of analyses and to multiply each area by a predetermined water use rate. Two calibration and six remote sensing methods of classifying crop types were compared for cost, accuracy, consistency, and labor requirements. Included were one method each for field reconnaissance using 1982 data, low altitude (< than 5,000 ft) aerial photography using 1982 data, and visual photointerpretation of Landsat satellite images using 1981 and 1982 data; two methods for medium-altitude (15,000-18,000 ft) aerial photography using 1982 data; and three methods for digital Landsat satellite images using 1981 data. A test of the most promising digital processing method, which used three image dates, was made in part of Palo Verde Valley, California, where 1981 crop data were more complete than in Parker Valley. Of the eight methods studied, the three-date digital processing method was the most consistent and least labor-intensive; visual photointerpretation of Landsat images was the least expensive. Evapotranspiration estimates from crop classifications by all methods differed by a maximum of 6%. Total evapotranspiration calculated from crop data and phreatophyte maps in 1981 ranged from 12% lower in Palo Verde Valley to 17% lower in Parker Valley than consumptive use calculated by water budgets. The difference was greater in Parker Valley because the winter crop data were not included. (Author 's abstract)","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr8667","usgsCitation":"Raymond, L., and Rezin, K., 1986, Evapotranspiration estimates using remote-sensing data, Parker and Palo Verde Valleys, Arizona and California: U.S. Geological Survey Open-File Report 86-67, iv, 33 p., https://doi.org/10.3133/ofr8667.","productDescription":"iv, 33 p.","costCenters":[],"links":[{"id":147738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1986/0067/report-thumb.jpg"},{"id":375164,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1986/0067/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona, California","otherGeospatial":"Palo Alto Valley, Parker Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.64233398437499,\n 33.71291698851023\n ],\n [\n -114.23309326171875,\n 33.71291698851023\n ],\n [\n -114.23309326171875,\n 34.22088697429016\n ],\n [\n -114.64233398437499,\n 34.22088697429016\n ],\n [\n -114.64233398437499,\n 33.71291698851023\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9af9","contributors":{"authors":[{"text":"Raymond, L.H.","contributorId":23151,"corporation":false,"usgs":true,"family":"Raymond","given":"L.H.","email":"","affiliations":[],"preferred":false,"id":171368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rezin, K.V.","contributorId":71995,"corporation":false,"usgs":true,"family":"Rezin","given":"K.V.","affiliations":[],"preferred":false,"id":171369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":60806,"text":"mf1817 - 1986 - Preliminary map showing the occurrence of siliceous rocks in central North Carolina derived from enhanced principal component Landsat images","interactions":[],"lastModifiedDate":"2012-02-10T00:10:28","indexId":"mf1817","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1817","title":"Preliminary map showing the occurrence of siliceous rocks in central North Carolina derived from enhanced principal component Landsat images","language":"ENGLISH","doi":"10.3133/mf1817","usgsCitation":"Schmidt, R.G., and Koslow, M., 1986, Preliminary map showing the occurrence of siliceous rocks in central North Carolina derived from enhanced principal component Landsat images: U.S. Geological Survey Miscellaneous Field Studies Map 1817, 2 maps ;44 x 46 cm. and 44 x 41 cm., on sheet 106 x 88 cm., folded in envelope 25 x 32 cm., https://doi.org/10.3133/mf1817.","productDescription":"2 maps ;44 x 46 cm. and 44 x 41 cm., on sheet 106 x 88 cm., folded in envelope 25 x 32 cm.","costCenters":[],"links":[{"id":106268,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_7785.htm","linkFileType":{"id":5,"text":"html"},"description":"7785"},{"id":182363,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"0","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.5,36 ], [ -79.5,37 ], [ -78.5,37 ], [ -78.5,36 ], [ -79.5,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db696781","contributors":{"authors":[{"text":"Schmidt, R. G.","contributorId":107690,"corporation":false,"usgs":true,"family":"Schmidt","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":264420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koslow, M.H.","contributorId":90592,"corporation":false,"usgs":true,"family":"Koslow","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":264419,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200783,"text":"70200783 - 1986 - Multispectral digital image mapping of Antarctic ice features","interactions":[],"lastModifiedDate":"2018-10-31T15:25:34","indexId":"70200783","displayToPublicDate":"1986-01-01T15:25:05","publicationYear":"1986","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":"Multispectral digital image mapping of Antarctic ice features","docAbstract":"Landsat multispectral images of the Antarctic ice sheet have been digitally enhanced by the US Geological Survey to show ice surface features not seen in earlier photographic products of the same scenes. Now for the first time it is worthwhile to prepare image maps at scales of up to 1:250 000 of ice sheet areas even where no nunataks are visible. Derivatives of the data can be stretched to bring out glaciologically significant features in smooth areas that traditionally have been described as featureless. Over large tracts of the ice sheet, the direction of ice flow can be revealed as clearly as it is by the medial moraines of an Alpine glacier system. Ice streams, ice divides, ice rises, ice rumples, grounding lines, crevasses, and rifts are seen where none had been identified before. In the same way that Seasat altimetry of the surface of the ocean has much to tell about the bed of the ocean, Landsat has much to tel! about the bed of the ice. Not only major structural features but also many details of the sub-glacial landscape are unmasked by their subtle reflection on the ice sheet surface. Ground control on ice sheets can be obtained by Doppler satellite observations tied to image-identifiable surface features. Because of ice movement, the standard of geodetic control can never approach that of conventional surveys based on rock stations. But the precise standards of conventional surveys are unnecessary for ice sheet maps.
","language":"English","publisher":"Cambridge","doi":"10.3189/S0260305500001361","usgsCitation":"Swithinbank, C., and Lucchitta, B.K., 1986, Multispectral digital image mapping of Antarctic ice features: Annals of Glaciology, v. 8, p. 159-163, https://doi.org/10.3189/S0260305500001361.","productDescription":"5 p.","startPage":"159","endPage":"163","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":480129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/s0260305500001361","text":"Publisher Index Page"},{"id":359051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Swithinbank, Charles","contributorId":60145,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","affiliations":[],"preferred":false,"id":750500,"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":750501,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236909,"text":"70236909 - 1986 - Digital processing of Landsat TM images for lineament occurrence and spatial frequency in sedimentary rocks","interactions":[],"lastModifiedDate":"2022-09-21T16:15:33.328413","indexId":"70236909","displayToPublicDate":"1986-01-01T11:10:13","publicationYear":"1986","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":12602,"text":"Interagency Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"DOE/OR/USGS-21552-1","title":"Digital processing of Landsat TM images for lineament occurrence and spatial frequency in sedimentary rocks","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Department of Energy","usgsCitation":"Moore, G.K., and Hastings, D.A., 1986, Digital processing of Landsat TM images for lineament occurrence and spatial frequency in sedimentary rocks: Interagency Report DOE/OR/USGS-21552-1, 30 p.","productDescription":"30 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":407141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Gerald K.","contributorId":14377,"corporation":false,"usgs":true,"family":"Moore","given":"Gerald","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":852667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hastings, David A.","contributorId":138985,"corporation":false,"usgs":true,"family":"Hastings","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":852668,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70015604,"text":"70015604 - 1986 - Recent developments in the U. S. Geological Survey's Landsat image mapping program","interactions":[],"lastModifiedDate":"2022-04-15T14:24:19.242271","indexId":"70015604","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Recent developments in the U. S. Geological Survey's Landsat image mapping program","docAbstract":"At the 1984 ASPRS-ACSM Convention in Washington, D. C. a paper on 'The Emerging U. S. Geological Survey Image Mapping Program' was presented that discussed recent satellite image mapping advancements and published products. Since then Landsat image mapping has become an integral part of the National Mapping Program. The Survey currently produces about 20 Landsat multispectral scanner (MSS) and Thematic Mapper (TM) image map products annually at 1:250,000 and 1:100,000 scales, respectively. These Landsat image maps provide users with a regional or synoptic view of an area. The resultant geographical presentation of the terrain and cultural features will help planners and managers make better decisions regarding the use of our national resources.","largerWorkTitle":"Technical Papers of the American Society of Photogrammetry, Fall Technical Meeting","conferenceTitle":"1986 ASPRS-ACSM Fall Convention","conferenceLocation":"Anchorage, AK, USA","language":"English","publisher":"American Society for Photogrammetry & Remote Sensing","publisherLocation":"Falls Church, VA, USA","issn":"02714043","isbn":"0937294764","usgsCitation":"Brownworth, F.S., and Rohde, W.G., 1986, Recent developments in the U. S. Geological Survey's Landsat image mapping program, in Technical Papers of the American Society of Photogrammetry, Fall Technical Meeting, Anchorage, AK, USA, p. 12-18.","productDescription":"7 p.","startPage":"12","endPage":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":224269,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9332e4b0c8380cd80c75","contributors":{"authors":[{"text":"Brownworth, Frederick S.","contributorId":75386,"corporation":false,"usgs":true,"family":"Brownworth","given":"Frederick","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":371342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohde, Wayne G.","contributorId":84630,"corporation":false,"usgs":true,"family":"Rohde","given":"Wayne","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":371343,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70014491,"text":"70014491 - 1986 - Applications of Landsat data and the data base approach","interactions":[],"lastModifiedDate":"2017-01-18T14:38:46","indexId":"70014491","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"Applications of Landsat data and the data base approach","docAbstract":"A generalized methodology for applying digital Landsat data to resource inventory and assessment tasks is currently being used by several bureaux and agencies within the US Department of the Interior. The methodology includes definition of project objectives and output, identification of source materials, construction of the digital data base, performance of computer-assisted analyses, and generation of output. The USGS, Bureau of Land Management, US Fish and Wildlife Service, Bureau of Indian Affairs, Bureau of Reclamation, and National Park Service have used this generalized methodology to assemble comprehensive digital data bases for resource management. Advanced information processing techniques have been applied to these data bases for making regional environmental surveys on millions of acres of public lands at costs ranging from $0.01 to $0.08 an acre.-Author","language":"English","usgsCitation":"Lauer, D.T., 1986, Applications of Landsat data and the data base approach: Photogrammetric Engineering and Remote Sensing, v. 52, no. 8, p. 1193-1199.","productDescription":"7 p.","startPage":"1193","endPage":"1199","numberOfPages":"7","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":225318,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ecc4e4b0c8380cd4948d","contributors":{"authors":[{"text":"Lauer, D. T.","contributorId":47907,"corporation":false,"usgs":true,"family":"Lauer","given":"D.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":368515,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70015564,"text":"70015564 - 1986 - Paleodrainages of the Eastern Sahara-The radar rivers revisited (SIR-A/B Implications for a Mid-Tertiary Trans-Afnrcan Drainage System)","interactions":[],"lastModifiedDate":"2024-01-25T17:26:59.345904","indexId":"70015564","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Paleodrainages of the Eastern Sahara-The radar rivers revisited (SIR-A/B Implications for a Mid-Tertiary Trans-Afnrcan Drainage System)","docAbstract":"A complex history of Cenozoic fluvial activity in the presently hyperarid Eastern Sahara is inferred from SIR data and postflight field investigations in southwest Egypt and northwest Sudan. SIR images were coregistered with Landsat and existing maps as a guide to exploration of the buried paleodrainages (radar rivers) first discovered by SIR-A. Field observations explain the radar responses of three types of radar rivers, RR-1, RR-2, and RR-3. RR-1 (broad, aggraded valleys or basins filled with alluvium) generally give a dark response relative to the surrounding radar-bright tone of the wind-roughened, discontinuously sand-covered bedrock of the remnant interfluves. The alluvial fill in some of the RR-1 valleys gives a locally intermediate to bright response where cemented by diagenetic CaCO3 (caliche). The RR-2 type (braided channels inset in the RR-1 valleys) are filled with noncalichified, loose sediment, and are visible on SIR because of the \"caliche effect\"-the dark response of unconsolidated alluvium in the inset channels contrasts with the brighter response of calichified alluvium in the broad valleys. The third type, RR-3 (narrow, long, bedrock-incised channels), which are partly visible on the ground and on Landsat in areas where the sand sheet is patchy, are conspicuous on SIR because the dark response of their unconsolidated channel fill contrasts with the brighter response of the surrounding bedrock. Disconformably overlying and concealing the RR-1 valleys, the RR- 2 channels, and parts of the RR-3 channels are eolian sand-sheetsheet de- deposits, which in turn are locally overridden by trains of barchan dunes.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.1986.289678","issn":"01962892","usgsCitation":"McCauley, J., Breed, C.S., Schaber, G.G., McHugh, W.P., Issawi, B., Haynes, C.V., Grolier, M.J., and El Kilani, A., 1986, Paleodrainages of the Eastern Sahara-The radar rivers revisited (SIR-A/B Implications for a Mid-Tertiary Trans-Afnrcan Drainage System): IEEE Transactions on Geoscience and Remote Sensing, v. GE-24, no. 4, p. 624-648, https://doi.org/10.1109/TGRS.1986.289678.","productDescription":"25 p.","startPage":"624","endPage":"648","numberOfPages":"25","costCenters":[],"links":[{"id":224430,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"GE-24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7328e4b0c8380cd76ec4","contributors":{"authors":[{"text":"McCauley, John F.","contributorId":54973,"corporation":false,"usgs":true,"family":"McCauley","given":"John F.","affiliations":[],"preferred":false,"id":371236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breed, Carlos S.","contributorId":51469,"corporation":false,"usgs":true,"family":"Breed","given":"Carlos","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":371235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaber, Gerald G.","contributorId":12511,"corporation":false,"usgs":true,"family":"Schaber","given":"Gerald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":371234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHugh, William P.","contributorId":70928,"corporation":false,"usgs":true,"family":"McHugh","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":371237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Issawi, Bahay","contributorId":96423,"corporation":false,"usgs":true,"family":"Issawi","given":"Bahay","email":"","affiliations":[],"preferred":false,"id":371239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haynes, C. Vance","contributorId":75283,"corporation":false,"usgs":true,"family":"Haynes","given":"C.","email":"","middleInitial":"Vance","affiliations":[],"preferred":false,"id":371238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grolier, Maurice J.","contributorId":98292,"corporation":false,"usgs":true,"family":"Grolier","given":"Maurice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":371240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"El Kilani, Ali","contributorId":98886,"corporation":false,"usgs":true,"family":"El Kilani","given":"Ali","email":"","affiliations":[],"preferred":false,"id":371241,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70142589,"text":"70142589 - 1986 - Vegetation and terrain mapping in Alaska using Landsat MSS and digital terrain data","interactions":[],"lastModifiedDate":"2017-01-18T14:40:06","indexId":"70142589","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"Vegetation and terrain mapping in Alaska using Landsat MSS and digital terrain data","docAbstract":"During the past 5 years, the U.S. Geological Survey's (USGS) Earth Resources Observation Systems (EROS) Data Center Field Office in Anchorage, Alaska has worked cooperatively with Federal and State resource management agencies to produce land-cover and terrain maps for 245 million acres of Alaska. The need for current land-cover information in Alaska comes principally from the mandates of the Alaska National Interest Lands Conservation Act (ANILCA), December 1980, which requires major land management agencies to prepare comprehensive management plans. The land-cover mapping projects integrate digital Landsat data, terrain data, aerial photographs, and field data. The resultant land-cover and terrain maps and associated data bases are used for resource assessment, management, and planning by many Alaskan agencies including the U.S. Fish and Wildlife Service, U.S. Forest Service, Bureau of Land Management, and Alaska Department of Natural Resources. Applications addressed through use of the digital land-cover and terrain data bases range from comprehensive refuge planning to multiphased sampling procedures designed to inventory vegetation statewide. The land-cover mapping programs in Alaska demonstrate the operational utility of digital Landsat data and have resulted in a new land-cover mapping program by the USGS National Mapping Division to compile 1:250,000-scale land-cover maps in Alaska using a common statewide land-cover map legend.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Shasby, M., and Carneggie, D.M., 1986, Vegetation and terrain mapping in Alaska using Landsat MSS and digital terrain data: Photogrammetric Engineering and Remote Sensing, v. 52, no. 6, p. 779-786.","productDescription":"8 p.","startPage":"779","endPage":"786","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.736328125,\n 50.401515322782366\n ],\n [\n -179.736328125,\n 71.7188822971392\n ],\n [\n -141.064453125,\n 71.7188822971392\n ],\n [\n -141.064453125,\n 50.401515322782366\n ],\n [\n -179.736328125,\n 50.401515322782366\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec43fe4b02419550debf2","contributors":{"authors":[{"text":"Shasby, Mark shasbym@usgs.gov","contributorId":223,"corporation":false,"usgs":true,"family":"Shasby","given":"Mark","email":"shasbym@usgs.gov","affiliations":[],"preferred":false,"id":541960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carneggie, David M.","contributorId":62758,"corporation":false,"usgs":true,"family":"Carneggie","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":541961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70014841,"text":"70014841 - 1986 - Image mapping with the Thematic Mapper.","interactions":[],"lastModifiedDate":"2012-03-12T17:19:35","indexId":"70014841","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"Image mapping with the Thematic Mapper.","docAbstract":"This paper deals principally with Landsat Thematic Mapper (TM) image maps as published by the US Geological Survey (USGS). Landsat data have certain characteristics that make them suitable for conversion into image maps. These characteristics involve 1) spatial resolution, 2) geometric fidelity, and 3) spectral response. This paper analyzes the three mentioned characteristics and discusses the processes involved in producing TM image maps.-from Author","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Colvocoresses, A., 1986, Image mapping with the Thematic Mapper.: Photogrammetric Engineering and Remote Sensing, v. 52, no. 9, p. 1499-1505.","startPage":"1499","endPage":"1505","numberOfPages":"7","costCenters":[],"links":[{"id":225536,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3878e4b0c8380cd6159e","contributors":{"authors":[{"text":"Colvocoresses, A. P.","contributorId":82703,"corporation":false,"usgs":true,"family":"Colvocoresses","given":"A. P.","affiliations":[],"preferred":false,"id":369417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70014879,"text":"70014879 - 1986 - Satellite orientation and position for geometric correction of scanner imagery.","interactions":[],"lastModifiedDate":"2012-03-12T17:19:33","indexId":"70014879","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"Satellite orientation and position for geometric correction of scanner imagery.","docAbstract":"The USGS Mini Image Processing System currently relies on a polynomial method for geometric correction of Landsat multispectral scanner (MSS) data. A large number of ground control points are required because polynomials do not model the sources of error. In order to reduce the number of necessary points, a set of mathematical equations modeling the Landsat satellite motions and MSS scanner has been derived and programmed. A best fit to the equations is obtained by using a least-squares technique that permits computation of the satellite orientation and position parameters based on only a few control points.-from Author","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Salamonowicz, P., 1986, Satellite orientation and position for geometric correction of scanner imagery.: Photogrammetric Engineering and Remote Sensing, v. 52, no. 4, p. 491-499.","startPage":"491","endPage":"499","numberOfPages":"9","costCenters":[],"links":[{"id":226048,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86e3e4b08c986b3161ab","contributors":{"authors":[{"text":"Salamonowicz, P.H.","contributorId":80019,"corporation":false,"usgs":true,"family":"Salamonowicz","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":369504,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142590,"text":"70142590 - 1986 - Vegetation mapping of Nowitna National Wildlife Refuge, Alaska using Landsat MSS digital data","interactions":[],"lastModifiedDate":"2022-04-01T23:24:02.891479","indexId":"70142590","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"Vegetation mapping of Nowitna National Wildlife Refuge, Alaska using Landsat MSS digital data","docAbstract":"A Landsat-derived vegetation map was prepared for Nowitna National Wildlife Refuge. The refuge lies within the middle boreal subzone of north central Alaska. Seven major vegetation classes and sixteen subclasses were recognized: forest (closed needleleaf, open needleleaf, needleleaf woodland, mixed, and broadleaf); broadleaf scrub (lowland, alluvial, subalpine); dwarf scrub (prostrate dwarf shrub tundra, dwarf shrub-graminoid tussock peatland); herbaceous (graminoid bog, marsh and meadow); scarcely vegetated areas (scarcely vegetated scree and floodplain); water (clear, turbid); and other areas (mountain shadow). The methodology employed a cluster-block technique. Sample areas were described based on a combination of helicopter-ground survey, aerial photointerpretation, and digital Landsat data. Major steps in the Landsat analysis involved preprocessing (geometric correction), derivation of statistical parameters for spectral classes, spectral class labeling of sample areas, preliminary classification of the entire study area using a maximum-likelihood algorithm, and final classification utilizing ancillary information such as digital elevation data. The final product is a 1:250,000-scale vegetation map representative of distinctive regional patterns and suitable for use in comprehensive conservation planning.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Talbot, S., and Markon, C.J., 1986, Vegetation mapping of Nowitna National Wildlife Refuge, Alaska using Landsat MSS digital data: Photogrammetric Engineering and Remote Sensing, v. 52, no. 6, p. 791-799.","productDescription":"9 p.","startPage":"791","endPage":"799","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397992,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/asprs-publications/pers"}],"country":"United States","state":"Alaska","otherGeospatial":"Nowitna National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.5224609375,\n 63.52897054110277\n ],\n [\n -155.5224609375,\n 65.07213008560697\n ],\n [\n -150.99609375,\n 65.07213008560697\n ],\n [\n -150.99609375,\n 63.52897054110277\n ],\n [\n -155.5224609375,\n 63.52897054110277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec43fe4b02419550debf4","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":541962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markon, Carl J. markon@usgs.gov","contributorId":2499,"corporation":false,"usgs":true,"family":"Markon","given":"Carl","email":"markon@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":541963,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70015051,"text":"70015051 - 1986 - Use of dust storm observations on satellite images to identify areas vulnerable to severe wind erosion","interactions":[],"lastModifiedDate":"2012-03-12T17:19:00","indexId":"70015051","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Use of dust storm observations on satellite images to identify areas vulnerable to severe wind erosion","docAbstract":"Blowing dust is symptomatic of severe wind erosion and deterioration of soils in areas undergoing dessication and/or devegetation. Dust plumes on satellite images can commonly be traced to sources in marginally arable semiarid areas where protective lag gravels or vegetation have been removed and soils are dry, as demonstrated for the Portales Valley, New Mexico. Images from Landsat and manned orbiters such as Skylab and the Space Shuttle are useful for illustrating the regional relations of airborne dust plumes to source areas. Geostationary satellites such as GOES are useful in tracking the time-histories of episodic dust storms. These events sometimes go unrecognized by weather observers and are the precursors of long-term land degradation trends. In areas where soil maps and meteorological data are inadequate, satellite images provide a means for identifying problem areas where measures are needed to control or mitigate wind erosion. ?? 1986 D. Reidel Publishing Company.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisherLocation":"Kluwer Academic Publishers","doi":"10.1007/BF00140539","issn":"01650009","usgsCitation":"Breed, C.S., and McCauley, J., 1986, Use of dust storm observations on satellite images to identify areas vulnerable to severe wind erosion: Climatic Change, v. 9, no. 1-2, p. 243-258, https://doi.org/10.1007/BF00140539.","startPage":"243","endPage":"258","numberOfPages":"16","costCenters":[],"links":[{"id":205440,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/BF00140539"},{"id":224068,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbeeae4b08c986b329869","contributors":{"authors":[{"text":"Breed, C. S.","contributorId":39809,"corporation":false,"usgs":true,"family":"Breed","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":369945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCauley, J.F.","contributorId":26310,"corporation":false,"usgs":true,"family":"McCauley","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":369944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70015652,"text":"70015652 - 1986 - Development of labd cover and terrain databases for the Innoko National Wildlife Refuge, Alaska, using LANDSAT and digital terrain data","interactions":[],"lastModifiedDate":"2018-08-20T19:34:54","indexId":"70015652","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development of labd cover and terrain databases for the Innoko National Wildlife Refuge, Alaska, using LANDSAT and digital terrain data","docAbstract":"Landsat-derived land cover maps and associated elevation, slope, and aspect class maps were produced for the Innoko National Wildlife Refuge (3,850,000 acres; 1,555,095 hectares) in northwestern Alaska. These maps and associated digital data products are being used by the U. S. Fish and Wildlife Service for wildlife management, research, and comprehensive conservation planning. Portions of two Landsat Multispectral Scanner (MSS) scenes and digital terrain data were used to produce 1:250,000 scale land cover and terrain maps. Prints of summer and winter Landsat MSS scenes were used to manually interpret broad physiographic strata. These strata were transferred to U. S. Geological Survey 1:250,000-scale topographic maps and digitized. Seven major land cover classes and 23 subclasses were identified. The major land cover classes include: forest, scrub, dwarf scrub and related types, herbaceous, scarcely vegetated areas, water, and shadow.","largerWorkTitle":"Technical Papers of the American Society of Photogrammetry, Fall Technical Meeting","conferenceTitle":"1986 ASPRS-ACSM Fall Convention - ASPRS Technical Papers.","conferenceLocation":"Anchorage, AK, USA","language":"English","publisher":"American Soc for Photogrammetry & Remote Sensing","publisherLocation":"Falls Church, VA, USA","issn":"02714043","isbn":"0937294764","usgsCitation":"Markon, C.J., and Talbot, S., 1986, Development of labd cover and terrain databases for the Innoko National Wildlife Refuge, Alaska, using LANDSAT and digital terrain data, in Technical Papers of the American Society of Photogrammetry, Fall Technical Meeting, Anchorage, AK, USA, p. 367-368.","startPage":"367","endPage":"368","numberOfPages":"2","costCenters":[],"links":[{"id":224167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd44e4b0c8380cd4e721","contributors":{"authors":[{"text":"Markon, Carl J. markon@usgs.gov","contributorId":2499,"corporation":false,"usgs":true,"family":"Markon","given":"Carl","email":"markon@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":371453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":371454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70014969,"text":"70014969 - 1986 - Determination of total, commonality, and uniqueness of interpreted structural elements from remotely sensed data in Alaska","interactions":[],"lastModifiedDate":"2012-03-12T17:18:54","indexId":"70014969","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2700,"text":"Mathematical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Determination of total, commonality, and uniqueness of interpreted structural elements from remotely sensed data in Alaska","docAbstract":"Statistical analysis is conducted to determine the unique value of real- and synthetic-aperture side-looking airborne radar (SLAR) to detect interpreted structural elements. SLAR images were compared to standard and digitally enhanced Landsat multispectral scanner (MSS) images and to aerial photographs. After interpretation of the imagery, data were cumulated by total length in miles and by frequency of counts. Maximum uniqueness is obtained first from real-aperture SLAR, 58.3% of total, and, second, from digitally enhanced Landsat MSS images, 54.1% of total. ?? 1986 Plenum Publishing Corporation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mathematical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisherLocation":"Kluwer Academic Publishers-Plenum Publishers","doi":"10.1007/BF00898281","issn":"08828121","usgsCitation":"Rosenfield, G., 1986, Determination of total, commonality, and uniqueness of interpreted structural elements from remotely sensed data in Alaska: Mathematical Geology, v. 18, no. 2, p. 161-179, https://doi.org/10.1007/BF00898281.","startPage":"161","endPage":"179","numberOfPages":"19","costCenters":[],"links":[{"id":205418,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/BF00898281"},{"id":223792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ffe0e4b0c8380cd4f44a","contributors":{"authors":[{"text":"Rosenfield, G.H.","contributorId":94670,"corporation":false,"usgs":true,"family":"Rosenfield","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":369738,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70015329,"text":"70015329 - 1986 - Digital merging of Landsat TM and digitized NHAP data for 1:24 000-scale image mapping.","interactions":[],"lastModifiedDate":"2012-03-12T17:18:57","indexId":"70015329","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"Digital merging of Landsat TM and digitized NHAP data for 1:24 000-scale image mapping.","docAbstract":"Merging image data collected by different remote sensors is becoming an increasingly important component of digital processing. In this study, two data sets with very different characteristics were digitally merged, and a single data set, which contains information from both sets, was generated. Landsat Thematic Mapper (TM) data were selected for their spectral information, and a digitized panchromatic photograph collected as part of the National High Altitude Program (NHAP), with approximately 4-m resolution after being digitized, was used for the primary spatial information. Five image control points and a second-order polynomial fit were used to combine the information from both data sets.-from Author","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Chavez, P., 1986, Digital merging of Landsat TM and digitized NHAP data for 1:24 000-scale image mapping.: Photogrammetric Engineering and Remote Sensing, v. 52, no. 10, p. 1637-1646.","startPage":"1637","endPage":"1646","numberOfPages":"10","costCenters":[],"links":[{"id":223874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a016fe4b0c8380cd4fbe8","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":370655,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70015314,"text":"70015314 - 1986 - Antarctica: Measuring glacier velocity from satellite images","interactions":[],"lastModifiedDate":"2018-10-31T15:29:59","indexId":"70015314","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Antarctica: Measuring glacier velocity from satellite images","docAbstract":"Many Landsat images of Antarctica show distinctive flow and crevasse features in the floating part of ice streams and outlet glaciers immediately below their grounding zones. Some of the features, which move with the glacier or ice stream, remain visible over many years and thus allow time-lapse measurements of ice velocities. Measurements taken from Landsat images of features on Byrd Glacier agree well with detailed ground and aerial observations. The satellite-image technique thus offers a rapid and cost-effective method of obtaining average velocities, to a first order of accuracy, of many ice streams and outlet glaciers near their termini.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1126/science.234.4780.1105","issn":"00368075","usgsCitation":"Lucchitta, B.K., and Ferguson, H., 1986, Antarctica: Measuring glacier velocity from satellite images: Science, v. 234, no. 4780, p. 1105-1108, https://doi.org/10.1126/science.234.4780.1105.","productDescription":"4 p.","startPage":"1105","endPage":"1108","numberOfPages":"4","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":223653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"234","issue":"4780","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec52e4b0c8380cd491d0","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":370613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, H.M.","contributorId":61083,"corporation":false,"usgs":true,"family":"Ferguson","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":370614,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70014566,"text":"70014566 - 1986 - The evolving Alaska mapping program.","interactions":[],"lastModifiedDate":"2012-03-12T17:19:33","indexId":"70014566","displayToPublicDate":"1986-01-01T00:00:00","publicationYear":"1986","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":"The evolving Alaska mapping program.","docAbstract":"This paper describes the development of mapping in Alaska, the current status of the National Mapping Program, and future plans for expanding and improving the mapping coverage. Research projects with Landsat Multispectral Scanner and Return Vidicon imagery and real- and synthetic-aperture radar; image mapping programs; digital mapping; remote sensing projects; the Alaska National Interest Lands Conservation Act; and the Alaska High-Altitude Aerial Photography Program are also discussed.-from Authors","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Brooks, P.D., and O’Brien, T.J., 1986, The evolving Alaska mapping program.: Photogrammetric Engineering and Remote Sensing, v. 52, no. 6, p. 769-777.","startPage":"769","endPage":"777","numberOfPages":"9","costCenters":[],"links":[{"id":225321,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505babebe4b08c986b323177","contributors":{"authors":[{"text":"Brooks, P. D.","contributorId":46060,"corporation":false,"usgs":true,"family":"Brooks","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":368687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, T. J.","contributorId":17770,"corporation":false,"usgs":true,"family":"O’Brien","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":368686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180229,"text":"70180229 - 1985 - Digital image processing techniques for detecting surface alteration - An application on the Alaska Peninsula: A section in The United States Geological Survey in Alaska: Accomplishments during 1983","interactions":[{"subject":{"id":70180229,"text":"70180229 - 1985 - Digital image processing techniques for detecting surface alteration - An application on the Alaska Peninsula: A section in The United States Geological Survey in Alaska: Accomplishments during 1983","indexId":"70180229","publicationYear":"1985","noYear":false,"title":"Digital image processing techniques for detecting surface alteration - An application on the Alaska Peninsula: A section in The United States Geological Survey in Alaska: Accomplishments during 1983"},"predicate":"IS_PART_OF","object":{"id":4437,"text":"cir945 - 1985 - The United States Geological Survey in Alaska: Accomplishments during 1983","indexId":"cir945","publicationYear":"1985","noYear":false,"title":"The United States Geological Survey in Alaska: Accomplishments during 1983"},"id":1}],"isPartOf":{"id":4437,"text":"cir945 - 1985 - The United States Geological Survey in Alaska: Accomplishments during 1983","indexId":"cir945","publicationYear":"1985","noYear":false,"title":"The United States Geological Survey in Alaska: Accomplishments during 1983"},"lastModifiedDate":"2017-01-27T11:14:18","indexId":"70180229","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"1985","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":"945","title":"Digital image processing techniques for detecting surface alteration - An application on the Alaska Peninsula: A section in The United States Geological Survey in Alaska: Accomplishments during 1983","docAbstract":"The tectonic evolution of the Alaska Peninsula makes it a likely area for the discovery of significant mineral deposits. However, because of problems associated with remoteness and poor weather, little detailed mineral exploration work has been carried on there. This study focuses on using Landsat multispectral scanner data for the Port Moller, Stepovak Bay, and Simeon of Island Quadrangles to detect surface alteration, probably limonitic (iron oxide staining) and(or) argillic (secondary clay minerals) in character, that could be indicative of mineral deposits. The techniques used here are useful for mapping deposits that have exposed surface alteration of at least an hectare, the approximate spatial resolution of the Landsat data. Virtually cloud-free Landsat coverage was used, but to be detected, the alteration area must also be unobscured by vegetation. Not all mineral deposits will be associated with surface alteration, and not all areas of surface alteration will have valuable mineral deposits.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The United States Geological Survey in Alaska: Accomplishments during 1983 (Circular 945)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Alexandria, VA","doi":"10.3133/70180229","usgsCitation":"York, J., Wilson, F.H., and Gamble, B.M., 1985, Digital image processing techniques for detecting surface alteration - An application on the Alaska Peninsula: A section in The United States Geological Survey in Alaska: Accomplishments during 1983: U.S. Geological Survey Circular 945, 3 p., https://doi.org/10.3133/70180229.","productDescription":"3 p.","startPage":"56","endPage":"58","numberOfPages":"3","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":334008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333994,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1985/0945/report.pdf#page=68","text":"Start page in larger work"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peninsula","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5889c7c7e4b0ba3b075e064c","contributors":{"authors":[{"text":"York, James","contributorId":69604,"corporation":false,"usgs":true,"family":"York","given":"James","email":"","affiliations":[],"preferred":false,"id":660825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":660826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gamble, Bruce M. bgamble@usgs.gov","contributorId":560,"corporation":false,"usgs":true,"family":"Gamble","given":"Bruce","email":"bgamble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":660827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":14503,"text":"ofr85150 - 1985 - Analysis of linear features mapped from Landsat images of the Cascade Range, Washington, Oregon, and California","interactions":[],"lastModifiedDate":"2012-02-02T00:06:53","indexId":"ofr85150","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1985","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":"85-150","title":"Analysis of linear features mapped from Landsat images of the Cascade Range, Washington, Oregon, and California","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/ofr85150","usgsCitation":"Knepper, D., 1985, Analysis of linear features mapped from Landsat images of the Cascade Range, Washington, Oregon, and California: U.S. Geological Survey Open-File Report 85-150, 31 p. :ill., maps ;28 cm., https://doi.org/10.3133/ofr85150.","productDescription":"31 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":147379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1985/0150/report-thumb.jpg"},{"id":43193,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1985/0150/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db68037b","contributors":{"authors":[{"text":"Knepper, D.H.","contributorId":98329,"corporation":false,"usgs":true,"family":"Knepper","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":169569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":66847,"text":"i1574 - 1985 - Landsat image map showing the distribution of limonitic rocks, Richfield 1° x 2° quadrangle, Utah","interactions":[],"lastModifiedDate":"2021-10-25T18:20:24.783042","indexId":"i1574","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1985","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":"1574","title":"Landsat image map showing the distribution of limonitic rocks, Richfield 1° x 2° quadrangle, Utah","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/i1574","usgsCitation":"Podwysocki, M.H., and Segal, D.B., 1985, Landsat image map showing the distribution of limonitic rocks, Richfield 1° x 2° quadrangle, Utah: U.S. Geological Survey IMAP 1574, 1 Plate: 42.26 × 22.07 inches, https://doi.org/10.3133/i1574.","productDescription":"1 Plate: 42.26 × 22.07 inches","costCenters":[],"links":[{"id":390892,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_9324.htm"},{"id":256109,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/imap/1574/report-thumb.jpg"},{"id":256108,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/1574/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":256107,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/imap/1574/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"250000","country":"United States","state":"Utah","otherGeospatial":"Richfield 1° x 2° quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,38 ], [ -114,39 ], [ -112,39 ], [ -112,38 ], [ -114,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abb77","contributors":{"authors":[{"text":"Podwysocki, M. 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Data from these stations are provided to Federal, State, and local agencies that have a responsibility to issue flood warnings; to generate forecasts of water availability; to monitor flow to insure compliance with treaties and other legal mandates; and to manage reservoirs for hydropower, flood abatement, and municipal and irrigation water supply. In the mid-1970's, the escalation of data collection costs and a need for more timely data led the Arizona District to examine alternatives for remote data acquisition. On the basis of successful data communications experiments with NASA 's Landsat satellite, an operational system for satellite-data relay was developed in 1976 using the National Oceanic and Atmospheric Administrations 's (NOAA) Geostationary Operational Environmental Satellite (GOES). A total of 62 data collection platforms (DCP's) was operated in 1983. Satellite telemetry operations are controlled at the remote data-collection stations by small battery-operated data collection platforms. The DCP 's periodically collect data from the sensors, store the data in computer memory, and at preset times transmit the data to the GOES satellite. The satellite retransmits the data to Earth where a ground-receive station transmits or transfers the data by land communications to the USGS computer in Reston, Virginia, for processing. The satellite relay transfers the data from sensor to computer in minutes; therefore, the data are available to users on a near real-time basis. (Author 's abstract)","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/wri854158","usgsCitation":"Boner, F.C., Blee, J., and Shope, W., 1985, Satellite data-relay activities in Arizona: U.S. Geological Survey Water-Resources Investigations Report 85-4158, iv, 22 p. :ill., map ;28 cm., https://doi.org/10.3133/wri854158.","productDescription":"iv, 22 p. :ill., map ;28 cm.","costCenters":[],"links":[{"id":157674,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1985/4158/report-thumb.jpg"},{"id":55052,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1985/4158/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd9da","contributors":{"authors":[{"text":"Boner, F. C.","contributorId":32136,"corporation":false,"usgs":true,"family":"Boner","given":"F.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":196063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blee, J.W.","contributorId":63815,"corporation":false,"usgs":true,"family":"Blee","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":196064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shope, W.G.","contributorId":17272,"corporation":false,"usgs":true,"family":"Shope","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":196062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}