{"pageNumber":"50","pageRowStart":"1225","pageSize":"25","recordCount":1869,"records":[{"id":70180477,"text":"70180477 - 2001 - Use of Landsat MSS and TM imagery to improve reconnaissance geologic mapping in the Ruby quadrangle, west-central Alaska: A section in <i>Geological studies in Alaska by the U.S. Geological Survey, 1999</i>","interactions":[{"subject":{"id":70180477,"text":"70180477 - 2001 - Use of Landsat MSS and TM imagery to improve reconnaissance geologic mapping in the Ruby quadrangle, west-central Alaska: A section in <i>Geological studies in Alaska by the U.S. Geological Survey, 1999</i>","indexId":"70180477","publicationYear":"2001","noYear":false,"title":"Use of Landsat MSS and TM imagery to improve reconnaissance geologic mapping in the Ruby quadrangle, west-central Alaska: A section in <i>Geological studies in Alaska by the U.S. Geological Survey, 1999</i>"},"predicate":"IS_PART_OF","object":{"id":38272,"text":"pp1633 - 2001 - Geologic studies in Alaska by the U.S. Geological Survey, 1999","indexId":"pp1633","publicationYear":"2001","noYear":false,"title":"Geologic studies in Alaska by the U.S. Geological Survey, 1999"},"id":1}],"isPartOf":{"id":38272,"text":"pp1633 - 2001 - Geologic studies in Alaska by the U.S. Geological Survey, 1999","indexId":"pp1633","publicationYear":"2001","noYear":false,"title":"Geologic studies in Alaska by the U.S. Geological Survey, 1999"},"lastModifiedDate":"2017-01-30T16:06:28","indexId":"70180477","displayToPublicDate":"2017-01-30T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1633","title":"Use of Landsat MSS and TM imagery to improve reconnaissance geologic mapping in the Ruby quadrangle, west-central Alaska: A section in <i>Geological studies in Alaska by the U.S. Geological Survey, 1999</i>","docAbstract":"<p><span>By using Multispectral Scanner (MSS) and Thematic Mapper (TM) satellite images, the spatial relation of units JMtu (mafic, ultramafic, and sedimentary rocks, undivided) and PzZrqs (pelitic and quartzitic schist) of Wilson and others (1998) from the northeastern portion of the Ruby 1:250,000-scale quadrangle geologic map was further defined. The MSS image was first analyzed using spectral signatures to separate and highlight pixels associated only with the units of interest. This approach was ineffective at separating the units from areas of the image with similar spectral signatures, but it did show that unit JMtu and associated areas consistently had a high brightness value, while unit PzZrqs and associated areas consistently had a low brightness value. Consequently, a new approach was developed using spectral enhancement to emphasize the differences between these high- and low- brightness areas. Once the TM image was obtained, the spectral signature separation and spectral enhancement approaches were again tested, but the results were similar to those found using the MSS image. By using the results from the spectral enhancement of the MSS image in combination with current ground-truth data, the locations of units JMtu and PzZrqs in the Ruby quadrangle were reinterpreted.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geological studies in Alaska by the U.S. Geological Survey, 1999 (Professional Paper 1633)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Denver, CO","doi":"10.3133/70180477","usgsCitation":"Labay, K., Wilson, F.H., and Burleigh, K.A., 2001, Use of Landsat MSS and TM imagery to improve reconnaissance geologic mapping in the Ruby quadrangle, west-central Alaska: A section in <i>Geological studies in Alaska by the U.S. Geological Survey, 1999</i>: U.S. Geological Survey Professional Paper 1633, 8 p., https://doi.org/10.3133/70180477.","productDescription":"8 p.","startPage":"83","endPage":"90","numberOfPages":"8","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":334369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334367,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1633/pp1633_report.pdf#page=91","text":"Start page in larger work"}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58905ef4e4b072a7ac0cad4f","contributors":{"authors":[{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":661729,"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":661730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burleigh, Kuuipo A.","contributorId":178947,"corporation":false,"usgs":false,"family":"Burleigh","given":"Kuuipo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231705,"text":"70231705 - 2001 - A Landsat 7 scene selection strategy for a national land cover database","interactions":[],"lastModifiedDate":"2022-05-23T15:27:23.939704","indexId":"70231705","displayToPublicDate":"2002-08-06T10:19:04","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A Landsat 7 scene selection strategy for a national land cover database","docAbstract":"<p><span>A strategy for selecting Landsat 7 ETM+ imagery for development of a new generation national land cover database of the United States has been developed. This strategy is formulated to target Landsat 7 ETM+ scenes based on land cover and land use, vegetation phenology and image quality (cloudiness, haze). Criteria based on phenology and scene quality provide a national baseline for acquiring Landsat 7 data. Optimal time periods for discriminating land cover types were identified for each Landsat 7 path-row footprint and each proposed land cover mapping zone (mosaic of several path-rows based on landscape and ecoregion), from which three Landsat scenes were selected. This database of selected scenes is used to guide Landsat 7 data purchasing. This methodology provides a consistent framework for populating Landsat 7 imagery to be used for a new national land cover characterization initiative.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"IGARSS 2001. Scanning the present and resolving the future. Proceedings.","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IGARSS 2001. Scanning the Present and Resolving the Future","conferenceDate":"Jul 9-13, 2001","conferenceLocation":"Sydney, Australia","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2001.976766","usgsCitation":"Yang, L., Homer, C.G., Hegge, K., Huang, C., Wylie, B.K., and Reed, B.C., 2001, A Landsat 7 scene selection strategy for a national land cover database, <i>in</i> IGARSS 2001. Scanning the present and resolving the future. Proceedings., v. 3, Sydney, Australia, Jul 9-13, 2001, p. 1123-1125, https://doi.org/10.1109/IGARSS.2001.976766.","productDescription":"3 p.","startPage":"1123","endPage":"1125","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hegge, K.","contributorId":291953,"corporation":false,"usgs":false,"family":"Hegge","given":"K.","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":843490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":843491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":843492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Bradley C. 0000-0002-1132-7178 reed@usgs.gov","orcid":"https://orcid.org/0000-0002-1132-7178","contributorId":2901,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"reed@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843493,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231703,"text":"70231703 - 2001 - Landsat-7 ETM+ radiometric calibration: Two years on-orbit","interactions":[],"lastModifiedDate":"2022-05-23T15:17:03.408111","indexId":"70231703","displayToPublicDate":"2002-08-06T10:10:15","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-7 ETM+ radiometric calibration: Two years on-orbit","docAbstract":"<p><span>Landsat-7 has been in orbit for 2 years as of April 15, 2001 and operationally providing calibrated data products for 2 years as of June 28, 2001. A radiometric calibration team consisting of scientists and analysts from the Landsat Project Science Office, the Landsat-7 Image Assessment System and four universities evaluates the calibration based on on-board and ground-look (vicarious) calibration methodologies. The results are assembled and compared semi-annually and the calibration parameter files are adjusted as necessary. To date the combined results for the reflective bands have not shown any change from pre-launch values. The pre-launch values continue to be used for data processing, with the uncertainty estimated at less than 5%. In the thermal band, the vicarious calibration results indicated a 0.31 W/m/sup 2/ sr /spl mu/m bias in the calibration. This bias results in the ETM+ derived temperatures being about 3K high. The calibration parameter file was updated October 1, 2000 to remove this bias, however the U.S. Landsat Product Generation System (LPGS) software required modification that was not incorporated until December 20, 2000. All LPGS data products generated since this date have the correct thermal band calibration, regardless of image acquisition date, with uncertainties at approximately the 1% level.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"IGARSS 2001. Scanning the present and resolving the future. Proceedings.","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IGARSS 2001. Scanning the Present and Resolving the Future","conferenceDate":"Jul 9-13, 2001","conferenceLocation":"Sydney, Australia","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2001.976208","usgsCitation":"Markham, B.L., Barker, J.L., Kaita, E., Barsi, J., Helder, D., Palluconi, F., Schott, J.R., Thome, K.J., Morfitt, R., and Scaramuzza, P., 2001, Landsat-7 ETM+ radiometric calibration: Two years on-orbit, <i>in</i> IGARSS 2001. Scanning the present and resolving the future. Proceedings., Sydney, Australia, Jul 9-13, 2001, p. 518-520, https://doi.org/10.1109/IGARSS.2001.976208.","productDescription":"3 p.","startPage":"518","endPage":"520","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":843476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barker, J. L.","contributorId":115996,"corporation":false,"usgs":true,"family":"Barker","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":843477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaita, E.","contributorId":73777,"corporation":false,"usgs":true,"family":"Kaita","given":"E.","email":"","affiliations":[],"preferred":false,"id":843478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":843479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":843480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palluconi, F. D.","contributorId":80854,"corporation":false,"usgs":true,"family":"Palluconi","given":"F. D.","affiliations":[],"preferred":false,"id":843481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schott, J. R.","contributorId":16613,"corporation":false,"usgs":true,"family":"Schott","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":843482,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thome, K. J.","contributorId":88099,"corporation":false,"usgs":true,"family":"Thome","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":843483,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843485,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70231710,"text":"70231710 - 2001 - A strategy for estimating tree canopy density using Landsat 7 ETM+ and high resolution images over large areas","interactions":[],"lastModifiedDate":"2022-05-23T16:11:59.359135","indexId":"70231710","displayToPublicDate":"2001-12-31T11:08:39","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A strategy for estimating tree canopy density using Landsat 7 ETM+ and high resolution images over large areas","docAbstract":"<p>Forest cover is of great interest to a variety of scientific and land management applications, many of which require not only information on forest categories, but also tree canopy density. In previous studies, large area tree canopy density had been estimated at spatial resolutions of 1km or coarser using coarse resolution satellite images. In this study, a strategy is developed for estimating tree canopy density at a spatial resolution of 30 m. This strategy is based on empirical relationships between tree canopy density and Landsat data, established using linear regression and regression tree techniques. One-meter digital orthophoto quadrangles were used to derive reference tree canopy density data needed for calibrating the relationships between canopy density and Landsat spectral data. This strategy was tested over three areas of the United States. In general, models derived using both linear regression and regression tree techniques were statistically significant. The regression tree was found more robust than linear regression, primary due to its capability of approximating complex non-linear relationships using a set of linear equations. This strategy will be recommended for use in developing a nation wide tree canopy density data set at a 30 m resolution as part of the Multi-Resolution Land Characteristics 2000 project.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the third international conference on geospatial information in agriculture and forestry","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Third International Conference on Geospatial Information in Agriculture and Forestry","conferenceDate":"Nov 5-7, 2001","conferenceLocation":"Denver. CO","language":"English","publisher":"Veridian","usgsCitation":"Huang, C., Yang, L., Wylie, B.K., and Homer, C.G., 2001, A strategy for estimating tree canopy density using Landsat 7 ETM+ and high resolution images over large areas, <i>in</i> Proceedings of the third international conference on geospatial information in agriculture and forestry, Denver. CO, Nov 5-7, 2001, 10 p.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":843500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":843502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":843503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231707,"text":"70231707 - 2001 - Landsat 7 on-orbit modulation transfer function estimation","interactions":[],"lastModifiedDate":"2022-05-23T15:36:57.647572","indexId":"70231707","displayToPublicDate":"2001-12-12T10:30:59","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 7 on-orbit modulation transfer function estimation","docAbstract":"<p><span>The Landsat 7 spacecraft and its Enhanced Thematic Mapper Plus (ETM+) were launched on April 15, 1999. Pre-launch modeling of the ETM+ optical system predicted that modulation transfer function (MTF) performance would change on-orbit. A method was developed to monitor the along-scan MTF performance of the ETM+ sensor system using on-orbit data of the Lake Pontchartrain Causeway in Louisiana. ETM+ image scan lines crossing the bridge were treated as multiple measurements of the target taken at varying sampling phases. These line measurements were interleaved to construct an over-sampled target profile for each ETM+ system transfer function. Model parameters were adjusted to achieve the best fit between the simulated profiles and the image measurements. The ETM+ modulation at the Nyquist frequency and the full width at half maximum of the point spread function were computed from the best-fit system transfer function model. Trending these parameters over time revealed apparent MTF performance degradation, observed mainly in the 15-meter resolution ETM+ panchromatic band. This confirmed the pre-launch model prediction that the panchromatic band was the most sensitive to changes in ETM+ optical performance.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proc. SPIE 4540, sensors, systems, and next-generation satellites V","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sensors, Systems, and Next-Generation Satellites V","conferenceDate":"Sep 17-21, 2001","conferenceLocation":"Toulouse, France","language":"English","publisher":"SPIE","doi":"10.1117/12.450647","usgsCitation":"Storey, J.C., 2001, Landsat 7 on-orbit modulation transfer function estimation, <i>in</i> Proc. SPIE 4540, sensors, systems, and next-generation satellites V, Toulouse, France, Sep 17-21, 2001, p. 50-61, https://doi.org/10.1117/12.450647.","productDescription":"12 p.","startPage":"50","endPage":"61","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":843496,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159373,"text":"70159373 - 2001 - Effects of Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper plus radiometric and geometric calibrations and corrections on landscape characterization","interactions":[],"lastModifiedDate":"2015-10-23T11:33:40","indexId":"70159373","displayToPublicDate":"2001-10-01T00:00:00","publicationYear":"2001","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":"Effects of Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper plus radiometric and geometric calibrations and corrections on landscape characterization","docAbstract":"<p><span>The Thematic Mapper (TM) instruments onboard Landsats 4 and 5 provide high-quality imagery appropriate for many different applications, including land cover mapping, landscape ecology, and change detection. Precise calibration was considered to be critical to the success of the Landsat 7 mission and, thus, issues of calibration were given high priority during the development of the Enhanced Thematic Mapper Plus (ETM+). Data sets from the Landsat 5 TM are not routinely corrected for a number of radiometric and geometric artifacts, including memory effect, gain/bias, and interfocal plane misalignment. In the current investigation, the effects of correcting vs. not correcting these factors were investigated for several applications. Gain/bias calibrations were found to have a greater impact on most applications than did memory effect calibrations. Correcting interfocal plane offsets was found to have a moderate effect on applications. On June 2, 1999, Landsats 5 and 7 data were acquired nearly simultaneously over a study site in the Niobrara, NE area. Field radiometer data acquired at that site were used to facilitate crosscalibrations of Landsats 5 and 7 data. Current findings and results from previous investigations indicate that the internal calibrator of Landsat 5 TM tracked instrument gain well until 1988. After this, the internal calibrator diverged from the data derived from vicarious calibrations. Results from this study also indicate very good agreement between prelaunch measurements and vicarious calibration data for all Landsat 7 reflective bands except Band 4. Values are within about 3.5% of each other, except for Band 4, which differs by 10%. Coefficient of variation (CV) values derived from selected targets in the imagery were also analyzed. The Niobrara Landsat 7 imagery was found to have lower CV values than Landsat 5 data, implying that lower levels of noise characterize Landsat 7 data than current Landsat 5 data. It was also found that following radiometric normalization, the Normalized Difference Vegetation Index (NDVI) imagery and classification products of Landsats 5 and 7 were very similar. This implies that data from the two sensors can be used to measure and monitor the same landscape phenomena and that Landsats 5 and 7 data can be used interchangeably with proper caution. In addition, it was found that difference imagery produced using Landsat 7 ETM+ data are of excellent quality.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(01)00249-8","usgsCitation":"Vogelmann, J., Helder, D., Morfitt, R., Choate, M., Merchant, J.W., and Bulley, H., 2001, Effects of Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper plus radiometric and geometric calibrations and corrections on landscape characterization: Remote Sensing of Environment, v. 78, no. 1-2, p. 55-70, https://doi.org/10.1016/S0034-4257(01)00249-8.","productDescription":"16 p.","startPage":"55","endPage":"70","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a2de4b00162522207cc","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":578262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":99714,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","affiliations":[],"preferred":false,"id":578263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merchant, James W.","contributorId":7858,"corporation":false,"usgs":false,"family":"Merchant","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":578266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bulley, Henry","contributorId":149391,"corporation":false,"usgs":false,"family":"Bulley","given":"Henry","email":"","affiliations":[],"preferred":false,"id":578267,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":30899,"text":"wri014016 - 2001 - Use of thematic mapper imagery to assess water quality, trophic state, and macrophyte distributions in Massachusetts lakes","interactions":[],"lastModifiedDate":"2012-02-02T00:09:07","indexId":"wri014016","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2001","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":"2001-4016","title":"Use of thematic mapper imagery to assess water quality, trophic state, and macrophyte distributions in Massachusetts lakes","docAbstract":"During the spring and summer of 1996, 1997, and 1998, measurements of phytoplankton- chlorophyll concentration, Secchi disk transparency, and color were made at 97 Massachusetts lakes within 24 hours of Landsat Thematic Mapper imaging of the lakes in an effort to assess water quality and trophic state. Spatial distributions of floating, emergent, and submerged macrophytes were mapped in 49 of the lakes at least once during the 3-year period. The maps were digitized and used to assign pixels in the thematic mapper images to one of four vegetation cover classes-open water, 1-50 percent floating-and-emergent-vegetation cover, 51-100 percent floating-and-emergent-vegetation cover, and submerged vegetation at any density. The field data were collected by teams of U.S. Geological Survey and Massachusetts Department of Environmental Management staff and by 76 volunteers. Side-by-side sampling by U.S. Geological Survey and volunteer field teams resulted in statistically similar chlorophyll determinations, Secchi disk readings, and temperature measurements, but concurrent color determinations were not similar, possibly due to contamination of sample bottles issued to the volunteers.Attempts to develop predictive relations between phytoplankton-chlorophyll concentration, Secchi disk transparency, lake color, dissolved organic carbon, and various combinations of thematic mapper bands 1, 2, 3, and 4 digital numbers were unsuccessful, primarily because of the extremely low concentrations of chlorophyll in the lakes studied, and also because of the highly variable dissolved organic carbon concentrations.Predictive relations were developed between Secchi disk transparency and phytoplankton-chlorophyll concentration, and between color and dissolved organic carbon concentration. Phytoplankton-chlorophyll concentration was inversely correlated with Secchi disk transparency during all three sampling periods. The relations were very similar in 1996 and 1997 and indicated that 62 to 67 percent of the variability in Secchi disk transparency could be explained by the chlorophyll concentration. Analysis of color and dissolved organic carbon concentrations in water samples collected by U.S. Geological Survey field teams in 1996-98 indicated that 91 percent of the variance in color in Massachusetts lakes can be explained by variations in dissolved organic carbon.Areas of open-water, submerged vegetation, and two surface-vegetation-cover classes predicted from Thematic Mapper images acquired in the summer of 1996 closely matched the areas observed in a set of field observations. However, the same analysis applied to a set of data acquired in the summer of 1997 resulted in somewhat less reliable predictions, and an attempt to predict 1996 vegetation-cover areas using the relations developed in the 1997 analysis was unsuccessful. ","language":"ENGLISH","doi":"10.3133/wri014016","usgsCitation":"Waldron, M.C., Steeves, P.A., and Finn, J.T., 2001, Use of thematic mapper imagery to assess water quality, trophic state, and macrophyte distributions in Massachusetts lakes: U.S. Geological Survey Water-Resources Investigations Report 2001-4016, 40 p., https://doi.org/10.3133/wri014016.","productDescription":"40 p.","costCenters":[],"links":[{"id":2837,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri014016","linkFileType":{"id":5,"text":"html"}},{"id":125112,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri_2001_4016.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60427e","contributors":{"authors":[{"text":"Waldron, Marcus C. mwaldron@usgs.gov","contributorId":1867,"corporation":false,"usgs":true,"family":"Waldron","given":"Marcus","email":"mwaldron@usgs.gov","middleInitial":"C.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":204315,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159450,"text":"70159450 - 2001 - Thematic accuracy of MRLC land cover for the eastern United States","interactions":[],"lastModifiedDate":"2015-10-30T10:05:41","indexId":"70159450","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2001","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":"Thematic accuracy of MRLC land cover for the eastern United States","docAbstract":"<p><span>One objective of the MultiResolution Land Characteristics (MRLC) consortium is to map general land-cover categories for the conterminous United States using Landsat Thematic Mapper (TM) data. Land-cover mapping and classification accuracy assessment are complete for the eastern United States. The accuracy assessment was based on photo-interpreted reference data obtained from a stratified probability sample of pixels. Agreement was defined as a match between primary or alternate reference land-cover labels assigned to each sample pixel and the mode (most common class) of the map's land-cover labels within a 3&times;3-pixel neighborhood surrounding the sampled point. At 30-m resolution, overall accuracy was 59.7% at an Anderson Level II thematic detail, and 80.5% at Anderson Level I.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(01)00187-0","usgsCitation":"Yang, L., Stehman, S.V., Smith, J.H., and Wickham, J.D., 2001, Thematic accuracy of MRLC land cover for the eastern United States: Remote Sensing of Environment, v. 76, no. 3, p. 418-422, https://doi.org/10.1016/S0034-4257(01)00187-0.","productDescription":"5 p.","startPage":"418","endPage":"422","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563496a6e4b0480763480061","contributors":{"authors":[{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":578751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jonathan H. jhsmith@usgs.gov","contributorId":2900,"corporation":false,"usgs":true,"family":"Smith","given":"Jonathan","email":"jhsmith@usgs.gov","middleInitial":"H.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":578752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wickham, James D.","contributorId":72278,"corporation":false,"usgs":false,"family":"Wickham","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":578753,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159374,"text":"70159374 - 2001 - Completion of the 1990s National Land Cover Data set for the conterminous United States from Landsat Thematic Mapper data and ancillary data sources","interactions":[],"lastModifiedDate":"2017-04-14T13:51:43","indexId":"70159374","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2001","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":"Completion of the 1990s National Land Cover Data set for the conterminous United States from Landsat Thematic Mapper data and ancillary data sources","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"ASPRS","usgsCitation":"Vogelmann, J., Howard, S.M., Yang, L., Larson, C.R., Wylie, B.K., and Van Driel, J.N., 2001, Completion of the 1990s National Land Cover Data set for the conterminous United States from Landsat Thematic Mapper data and ancillary data sources: Photogrammetric Engineering and Remote Sensing, v. 67, no. 6, p. 650-662.","productDescription":"13 p.","startPage":"650","endPage":"662","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310592,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Photogrammetric-Engineering-and-Remote-Sensing/PE-RS-Archive-Search-2009-and-earlier.html"}],"volume":"67","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a29e4b00162522207c2","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":578268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Charles R. larson@usgs.gov","contributorId":3640,"corporation":false,"usgs":true,"family":"Larson","given":"Charles","email":"larson@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":578271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Driel, J. Nicholas","contributorId":80688,"corporation":false,"usgs":true,"family":"Van Driel","given":"J.","email":"","middleInitial":"Nicholas","affiliations":[],"preferred":false,"id":578273,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155972,"text":"70155972 - 2001 - Comments on \"Landsat-7 reveals more than just surface features in remote areas of the globe\"- Reply","interactions":[],"lastModifiedDate":"2017-04-14T13:53:28","indexId":"70155972","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Comments on \"Landsat-7 reveals more than just surface features in remote areas of the globe\"- Reply","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/1520-0477(2001)082<0314:REPLY>2.3.CO;2","usgsCitation":"DeFelice, T., and Cahalan, R.F., 2001, Comments on \"Landsat-7 reveals more than just surface features in remote areas of the globe\"- Reply: Bulletin of the American Meteorological Society, v. 82, no. 2, p. 314-314, https://doi.org/10.1175/1520-0477(2001)082<0314:REPLY>2.3.CO;2.","productDescription":"1 p.","startPage":"314","endPage":"314","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe9d9ae4b0824b2d14f287","contributors":{"authors":[{"text":"DeFelice, Tom","contributorId":9829,"corporation":false,"usgs":true,"family":"DeFelice","given":"Tom","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":567480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahalan, Robert F.","contributorId":139616,"corporation":false,"usgs":false,"family":"Cahalan","given":"Robert","email":"","middleInitial":"F.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":567481,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70095015,"text":"70095015 - 2001 - The Landsat 7 mission: terrestrial research and applications for the 21st century","interactions":[],"lastModifiedDate":"2014-02-26T15:01:41","indexId":"70095015","displayToPublicDate":"2001-01-01T14:54:00","publicationYear":"2001","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":"The Landsat 7 mission: terrestrial research and applications for the 21st century","docAbstract":"The Landsat Earth observation approach introduced in 1972 created a new way of monitoring land cover and land use globally. The Landsat 7 mission, successfully launched on April 15, 1999, continues those observations and demonstrates significant progress in precise numerical radiometry, spectral differentiation, and seasonally repetitive monitoring. Substantial improvements in calibration procedures, both prior to launch and during normal operations, have also been made to ensure long-term stability in the acquired spectral radiometry. Landsat 7 data acquisitions are being driven by a long-term data acquisition plan that was designed to ensure that substantially cloud-free, seasonal coverage would be recorded and archived in the US for all land areas of the globe. NASA competitively selected a Landsat Science Team, consisting of representatives from US universities and government agencies, to exploit the Landsat 7 record for global change research. This team is addressing the technical and analytical means to process and analyze the core of this observation record, and for the first time in the history of the Landsat mission, the technical and operational aspects of the mission are being driven by the goals of the US science community. The expected outcome of these efforts is a rapid improvement in understanding the Earth system, as well as conceptual knowledge that will underpin significant advancements in the application of this technology for commercial, operational, educational, and research purposes. Pathways to achieve effective Landsat continuity in the early decades of the 21st century are also being given careful attention, and there is no question that the lessons learned from the Landsat 7 mission will strongly influence these next-generation sensor systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(01)00262-0","usgsCitation":"Goward, S.N., Masek, J.G., Williams, D.L., Irons, J.R., and Thompson, R., 2001, The Landsat 7 mission: terrestrial research and applications for the 21st century: Remote Sensing of Environment, v. 78, no. 1-2, p. 3-12, https://doi.org/10.1016/S0034-4257(01)00262-0.","productDescription":"10 p.","startPage":"3","endPage":"12","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":282862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282861,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0034-4257(01)00262-0"}],"volume":"78","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd76fee4b0b2908510b454","contributors":{"authors":[{"text":"Goward, Samuel N.","contributorId":44459,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":491065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masek, Jeffrey G.","contributorId":58188,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Darrel L.","contributorId":20627,"corporation":false,"usgs":true,"family":"Williams","given":"Darrel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":491067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, R.J.","contributorId":93624,"corporation":false,"usgs":true,"family":"Thompson","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":491068,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70023053,"text":"70023053 - 2001 - Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution","interactions":[],"lastModifiedDate":"2012-03-12T17:20:07","indexId":"70023053","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","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":"Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution","docAbstract":"An empirical model was used to relate forest type and hurricane-impact distribution with wind speed and duration to explain the variation of hurricane damage among forest types along the Atchafalaya River basin of coastal Louisiana. Forest-type distribution was derived from Landsat Thematic Mapper image data, hurricane-impact distribution from a suite of transformed advanced very high resolution radiometer images, and wind speed and duration from a wind-field model. The empirical model explained 73%, 84%, and 87% of the impact variances for open, hardwood, and cypress-tupelo forests, respectively. These results showed that the estimated impact for each forest type was highly related to the duration and speed of extreme winds associated with Hurricane Andrew in 1992. The wind-field model projected that the highest wind speeds were in the southern basin, dominated by cypress-tupelo and open forests, while lower wind speeds were in the northern basin, dominated by hardwood forests. This evidence could explain why, on average, the impact to cypress-tupelos was more severe than to hardwoods, even though cypress-tupelos are less susceptible to wind damage. Further, examination of the relative importance of wind speed in explaining the impact severity to each forest type showed that the impact to hardwood forests was mainly related to tropical-depression to tropical-storm force wind speeds. Impacts to cypress-tupelo and open forests (a mixture of willows and cypress-tupelo) were broadly related to tropical-storm force wind speeds and by wind speeds near and somewhat in excess of hurricane force. Decoupling the importance of duration from speed in explaining the impact severity to the forests could not be fully realized. Most evidence, however, hinted that impact severity was positively related to higher durations at critical wind speeds. Wind-speed intervals, which were important in explaining the impact severity on hardwoods, showed that higher durations, but not the highest wind speeds, were concentrated in the northern basin, dominated by hardwoods. The extreme impacts associated with the cypress-tupelo forests in the southeast corner of the basin intersected the highest durations as well as the highest wind speeds. ?? 2001 Published by Elsevier Science Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0034-4257(01)00217-6","issn":"00344257","usgsCitation":"Ramsey, E., Hodgson, M., Sapkota, S., and Nelson, G., 2001, Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution: Remote Sensing of Environment, v. 77, no. 3, p. 279-292, https://doi.org/10.1016/S0034-4257(01)00217-6.","startPage":"279","endPage":"292","numberOfPages":"14","costCenters":[],"links":[{"id":208069,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0034-4257(01)00217-6"},{"id":233469,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1333e4b0c8380cd54568","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":395973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgson, M.E.","contributorId":21032,"corporation":false,"usgs":true,"family":"Hodgson","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":395971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sapkota, S.K.","contributorId":24434,"corporation":false,"usgs":true,"family":"Sapkota","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":395972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, G.A.","contributorId":17687,"corporation":false,"usgs":true,"family":"Nelson","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":395970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1015148,"text":"1015148 - 2001 - New approaches for sampling and modeling native and exotic plant species richness","interactions":[],"lastModifiedDate":"2017-12-26T11:34:02","indexId":"1015148","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"New approaches for sampling and modeling native and exotic plant species richness","docAbstract":"<p>We demonstrate new multi-phase, multi-scale approaches for sampling and modeling native and exotic plant species to predict the spread of invasive species and aid in control efforts. Our test site is a 54,000-ha portion of Rocky Mountain National Park, Colorado, USA. This work is based on previous research wherein we developed vegetation sampling techniques to identify hot spots of diversity, important rare habitats, and locations of invasive plant species. Here we demonstrate statistical modeling tools to rapidly assess current patterns of native and exotic plant species to determine which habitats are most vulnerable to invasion by exotic species. We use stepwise multiple regression and modified residual kriging to estimate numbers of native species and exotic species, as well as probability of observing an exotic species in 30 × 30-m cells. Final models accounted for 62% of the variability observed in number of native species, 51% of the variability observed in number of exotic species, and 47% of the variability associated with observing an exotic species. Important independent variables used in developing the models include geographical location, elevation, slope, aspect, and Landsat TM bands 1-7. These models can direct resource managers to areas in need of further inventory, monitoring, and exotic species control efforts.</p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","usgsCitation":"Chong, G., Reich, R., Kalkhan, M.A., and Stohlgren, T., 2001, New approaches for sampling and modeling native and exotic plant species richness: Western North American Naturalist, v. 61, no. 3, p. 328-335.","productDescription":"8 p.","startPage":"328","endPage":"335","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":132863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":14845,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/41717178 "}],"volume":"61","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6977d1","contributors":{"authors":[{"text":"Chong, G.W.","contributorId":54153,"corporation":false,"usgs":true,"family":"Chong","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":322336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, R.M.","contributorId":68258,"corporation":false,"usgs":true,"family":"Reich","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":322337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalkhan, M. A.","contributorId":82655,"corporation":false,"usgs":false,"family":"Kalkhan","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":322338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":322335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70023672,"text":"70023672 - 2001 - Landsat 7 thermal-IR image sharpening using an artificial neural network and sensor model","interactions":[],"lastModifiedDate":"2012-03-12T17:20:11","indexId":"70023672","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 7 thermal-IR image sharpening using an artificial neural network and sensor model","docAbstract":"The enhanced thematic mapper (plus) (ETM+) instrument on Landsat 7 shares the same basic design as the TM sensors on Landsats 4 and 5, with some significant improvements. In common are six multispectral bands with a 30-m ground-projected instantaneous field of view (GIFOV). However, the thermaL-IR (TIR) band now has a 60-m GIFOV, instead of 120-m. Also, a 15-m panchromatic band has been added. The artificial neural network (NN) image sharpening method described here uses data from the higher spatial resolution ETM+ bands to enhance (sharpen) the spatial resolution of the TIR imagery. It is based on an assumed correlation over multiple scales of resolution, between image edge contrast patterns in the TIR band and several other spectral bands. A multilayer, feedforward NN is trained to approximate TIR data at 60m, given degraded (from 30-m to 60-m) spatial resolution input from spectral bands 7, 5, and 2. After training, the NN output for full-resolution input generates an approximation of a TIR image at 30-m resolution. Two methods are used to degrade the spatial resolution of the imagery used for NN training, and the corresponding sharpening results are compared. One degradation method uses a published sensor transfer function (TF) for Landsat 5 to simulate sensor coarser resolution imagery from higher resolution imagery. For comparison, the second degradation method is simply Gaussian low pass filtering and subsampling, wherein the Gaussian filter approximates the full width at half maximum amplitude characteristics of the TF-based spatial filter. Two fixed-size NNs (that is, number of weights and processing elements) were trained separately with the degraded resolution data, and the sharpening results compared. The comparison evaluates the relative influence of the degradation technique employed and whether or not it is desirable to incorporate a sensor TF model. Preliminary results indicate some improvements for the sensor model-based technique. Further evaluation using a higher resolution reference image and strict application of sensor model to data is recommended.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Visual Information Processing X","conferenceDate":"19 April 2001 through 20 April 2001","conferenceLocation":"Orlando,FL","language":"English","doi":"10.1117/12.438256","issn":"0277786X","usgsCitation":"Lemeshewsky, G., and Schowengerdt, R., 2001, Landsat 7 thermal-IR image sharpening using an artificial neural network and sensor model, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 4388, Orlando,FL, 19 April 2001 through 20 April 2001, p. 181-192, https://doi.org/10.1117/12.438256.","startPage":"181","endPage":"192","numberOfPages":"12","costCenters":[],"links":[{"id":207607,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.438256"},{"id":232703,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4388","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43cde4b0c8380cd66623","contributors":{"editors":[{"text":"Park S.K.Rahman Z.Schowengerdt R.A.","contributorId":128439,"corporation":true,"usgs":false,"organization":"Park S.K.Rahman Z.Schowengerdt R.A.","id":536503,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lemeshewsky, G.P.","contributorId":106927,"corporation":false,"usgs":true,"family":"Lemeshewsky","given":"G.P.","affiliations":[],"preferred":false,"id":398403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schowengerdt, R.A.","contributorId":83707,"corporation":false,"usgs":true,"family":"Schowengerdt","given":"R.A.","affiliations":[],"preferred":false,"id":398402,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70023910,"text":"70023910 - 2001 - Status of the world's remaining closed forests: An assessment using satellite data and policy options","interactions":[],"lastModifiedDate":"2018-02-23T12:56:33","indexId":"70023910","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"Status of the world's remaining closed forests: An assessment using satellite data and policy options","docAbstract":"Historically, it appears that some of the WRCF have survived because i) they lack sufficient quantity of commercially valuable species; ii) they are located in remote or inaccessible areas; or iii) they have been protected as national parks and sanctuaries. Forests will be protected when people who are deciding the fate of forests conclude than the conservation of forests is more beneficial, e.g. generates higher incomes or has cultural or social values, than their clearance. If this is not the case, forests will continue to be cleared and converted. In the future, the WRCF may be protected only by focused attention. The future policy options may include strategies for strong protection measures, the raising of public awareness about the value of forests, and concerted actions for reducing pressure on forest lands by providing alternatives to forest exploitation to meet the growing demands of forest products. Many areas with low population densities offer an opportunity for conservation if appropriate steps are taken now by the national governments and international community. This opportunity must be founded upon the increased public and government awareness that forests have vast importance to the welfare of humans and ecosystems' services such as biodiversity, watershed protection, and carbon balance. Also paramount to this opportunity is the increased scientific understanding of forest dynamics and technical capability to install global observation and assessment systems. High-resolution satellite data such as Landsat 7 and other technologically advanced satellite programs will provide unprecedented monitoring options for governing authorities. Technological innovation can contribute to the way forests are protected. The use of satellite imagery for regular monitoring and Internet for information dissemination provide effective tools for raising worldwide awareness about the significance of forests and intrinsic value of nature.","language":"English","publisher":"Royal Swedish Academy of Sciences","doi":"10.1579/0044-7447-30.1.67","issn":"00447447","usgsCitation":"Singh, A., Shi, H., Foresman, T., and Fosnight, E.A., 2001, Status of the world's remaining closed forests: An assessment using satellite data and policy options: Ambio, v. 30, no. 1, p. 67-69, https://doi.org/10.1579/0044-7447-30.1.67.","productDescription":"3 p.","startPage":"67","endPage":"69","costCenters":[],"links":[{"id":232051,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9808e4b08c986b31bdb5","contributors":{"authors":[{"text":"Singh, Ashbindu singh@usgs.gov","contributorId":5410,"corporation":false,"usgs":true,"family":"Singh","given":"Ashbindu","email":"singh@usgs.gov","affiliations":[],"preferred":true,"id":399300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":399301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foresman, T.","contributorId":98913,"corporation":false,"usgs":true,"family":"Foresman","given":"T.","email":"","affiliations":[],"preferred":false,"id":399303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fosnight, Eugene A. 0000-0002-8557-3697 fosnight@usgs.gov","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":2961,"corporation":false,"usgs":true,"family":"Fosnight","given":"Eugene","email":"fosnight@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":399302,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70023704,"text":"70023704 - 2001 - Coastal change analysis program implemented in Louisiana","interactions":[],"lastModifiedDate":"2019-10-08T18:27:20","indexId":"70023704","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coastal change analysis program implemented in Louisiana","docAbstract":"Landsat Thematic Mapper images from 1990 to 1996 and collateral data sources were used to classify the land cover of the Mermentau River Basin (MRB) within the Chenier Plain of coastal Louisiana. Landcover classes followed the definition of the National Oceanic and Atmospheric Administration's Coastal Change Analysis Program; however, classification methods had to be developed as part of this study for attainment of these national classification standards. Classification method developments were especially important when classes were spectrally inseparable, when classes were part of spatial and spectral continuums, when the spatial resolution of the sensor included more than one landcover type, and when human activities caused abnormal transitions in the landscape. Most classification problems were overcome by using one or a combination of techniques, such as separating the MRB into subregions of commonality, applying masks to specific land mixtures, and highlighting class transitions between years that were highly unlikely. Overall, 1990, 1993, and 1996 classification accuracy percentages (associated kappa statistics) were 80% (0.79), 78% (0.76), and 86% (0.84), respectively. Most classification errors were associated with confusion between managed (cultivated land) and unmanaged grassland classes; scrub shrub, grasslands and forest classes; water, unconsolidated shore and bare land classes; and especially in 1993, between water and floating vegetation classes. Combining cultivated land and grassland classes and water and floating vegetation classes into single classes accuracies for 1990, 1993, and 1996 increased to 82%, 83%, and 90%, respectively. To improve the interpretation of landcover change, three indicators of landcover class stability were formulated. Location stability was defined as the percentage of a landcover class that remained as the same class in the same location at the beginning and the end of the monitoring period. Residence stability was defined as the percent change in each class within the entire MRB during the monitoring period. Turnover was defined as the addition of other landcover classes to the target landcover class during the defined monitoring period. These indicators allowed quick assessment of the dynamic nature of landcover classes, both in reference to a spatial location and to retaining their presence throughout the MRB. Examining the landcover changes between 1990 to 1993 and 1993 to 1996, led us to five principal findings: (1) Landcover turnover is maintaining a near stable logging cycle, although the locations of grassland, scrub shrub, and forest areas involved in the cycle appeared to change. (2) Planting of seedlings is critical to maintaining cycle stability. (3) Logging activities tend to replace woody land mixed forests with woody land evergreen forests. (4) Wetland estuarine marshes are expanding slightly. (5) Wetland palustrine marshes and mature forested wetlands in the MRB are relatively stable.","language":"English","publisher":"Coastal Education and Research Foundation","issn":"07490208","usgsCitation":"Ramsey, E., Nelson, G., and Sapkota, S., 2001, Coastal change analysis program implemented in Louisiana: Journal of Coastal Research, v. 17, no. 1, p. 53-71.","productDescription":"19 p.","startPage":"53","endPage":"71","numberOfPages":"19","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":232543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368137,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/4300149"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mermentau River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.328857421875,\n              29.513720234908057\n            ],\n            [\n              -92.01599121093749,\n              29.513720234908057\n            ],\n            [\n              -92.01599121093749,\n              31.067050772707812\n            ],\n            [\n              -93.328857421875,\n              31.067050772707812\n            ],\n            [\n              -93.328857421875,\n              29.513720234908057\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f77ce4b0c8380cd4cb3b","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":398502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, G.A.","contributorId":17687,"corporation":false,"usgs":true,"family":"Nelson","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":398500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sapkota, S.K.","contributorId":24434,"corporation":false,"usgs":true,"family":"Sapkota","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":398501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70023039,"text":"70023039 - 2001 - Land cover change on the Seward Peninsula: The use of remote sensing to evaluate the potential influences of climate warming on historical vegetation dynamics","interactions":[],"lastModifiedDate":"2018-03-09T09:37:36","indexId":"70023039","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Land cover change on the Seward Peninsula: The use of remote sensing to evaluate the potential influences of climate warming on historical vegetation dynamics","docAbstract":"<p><span>Vegetation on the Seward Peninsula, Alaska, which is characterized by transitions from tundra to boreal forest, may be sensitive to the influences of climate change on disturbance and species composition. To determine the ability to detect decadal-scale structural changes in vegetation. Change Vector Analysis (CVA) techniques were evaluated for Landsat Thematic Mapper (TM) imagery of the Seward Peninsula from 1986 to 1999. Scenes were geographically corrected to sub-pixel accuracy and then radiometrically rectified. Between the 1986 and 1992 satellite scenes, the CVA detected changes in direction and magnitude of the two indices (TM Band 4/TM Band 3. TM Band 5). For Row 14, change was detected for 135,518 ha and for Row 15, change was detected for 111,831 ha. Between the 1992 and 1999 scenes, change was detected by CVA for 93,278 ha. CVA results and photo interpretation together show that shrub advance is approximately 100 metres in valleys north of the Bendeleben Mountains and that shrubs have increased along riverbed bottoms. Across Path 78 Row 14 and 15, the unsupervised classification detected that 55% of the pixels changed between 1986 and 1992. Overall, approximately 759,610 ha changed to a class with a more developed canopy and only 268,132 ha changed to a class with a less developed canopy. Thus, the change detection analysis based on the unsupervised classification indicates that land-cover change on the Seward Peninsula was predominantly in the direction of increased shrubbiness. Taken together, our comparison of CVA results, unsupervised classification results, and visual interpretation of aerial photographs suggests that shrub cover may be increasing on the Seward Peninsula, which is consistent with results from experimental warming in tundra. The use of both CVA and unsupervised classification together provided a more powerful interpretation of change than either method alone in transitional regions between tundra and boreal forest.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/07038992.2001.10854894","issn":"07038992","usgsCitation":"Silapaswan, C., Verbyla, D., and McGuire, A., 2001, Land cover change on the Seward Peninsula: The use of remote sensing to evaluate the potential influences of climate warming on historical vegetation dynamics: Canadian Journal of Remote Sensing, v. 27, no. 5, p. 542-554, https://doi.org/10.1080/07038992.2001.10854894.","productDescription":"13 p.","startPage":"542","endPage":"554","numberOfPages":"13","costCenters":[],"links":[{"id":233804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-07-28","publicationStatus":"PW","scienceBaseUri":"505a4185e4b0c8380cd655c2","contributors":{"authors":[{"text":"Silapaswan, Cherie","contributorId":42780,"corporation":false,"usgs":false,"family":"Silapaswan","given":"Cherie","email":"","affiliations":[],"preferred":false,"id":395903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verbyla, D.L.","contributorId":37120,"corporation":false,"usgs":true,"family":"Verbyla","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":395905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":395904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142647,"text":"70142647 - 2001 - Cloud characterization and clear-sky correction from Landsat-7","interactions":[],"lastModifiedDate":"2017-01-18T14:08:31","indexId":"70142647","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","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":"Cloud characterization and clear-sky correction from Landsat-7","docAbstract":"<p><span>Landsat, with its wide swath and high resolution, fills an important mesoscale gap between atmospheric variations seen on a few kilometer scale by local surface instrumentation and the global view of coarser resolution satellites such as MODIS. In this important scale range, Landsat reveals radiative effects on the few hundred-meter scale of common photon mean-free-paths, typical of scattering in clouds at conservative (visible) wavelengths, and even shorter mean-free-paths of absorptive (near-infrared) wavelengths. Landsat also reveals shadowing effects caused by both cloud and vegetation that impact both cloudy and clear-sky radiances. As a result, Landsat has been useful in development of new cloud retrieval methods and new aerosol and surface retrievals that account for photon diffusion and shadowing effects. This paper discusses two new cloud retrieval methods: the nonlocal independent pixel approximation (NIPA) and the normalized difference nadir radiance method (NDNR). We illustrate the improvements in cloud property retrieval enabled by the new low gain settings of Landsat-7 and difficulties found at high gains. Then, we review the recently developed &ldquo;path radiance&rdquo; method of aerosol retrieval and clear-sky correction using data from the Department of Energy Atmospheric Radiation Measurement (ARM) site in Oklahoma. Nearby clouds change the solar radiation incident on the surface and atmosphere due to indirect illumination from cloud sides. As a result, if clouds are nearby, this extra side-illumination causes clear pixels to appear brighter, which can be mistaken for extra aerosol or higher surface albedo. Thus, cloud properties must be known in order to derive accurate aerosol and surface properties. A three-dimensional (3D) Monte Carlo (MC) radiative transfer simulation illustrates this point and suggests a method to subtract the cloud effect from aerosol and surface retrievals. The main conclusion is that cloud, aerosol, and surface retrievals are linked and must be treated as a combined system. Landsat provides the range of scales necessary to observe the 3D cloud radiative effects that influence joint surface-atmospheric retrievals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(01)00251-6","usgsCitation":"Cahalan, R.F., Oreopoulos, L., Wen, G., Marshak, S., Tsay, S.#., and DeFelice, T., 2001, Cloud characterization and clear-sky correction from Landsat-7: Remote Sensing of Environment, v. 78, no. 1-2, p. 83-98, https://doi.org/10.1016/S0034-4257(01)00251-6.","productDescription":"16 p.","startPage":"83","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec42ce4b02419550debae","contributors":{"authors":[{"text":"Cahalan, Robert F.","contributorId":139616,"corporation":false,"usgs":false,"family":"Cahalan","given":"Robert","email":"","middleInitial":"F.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oreopoulos, L.","contributorId":139617,"corporation":false,"usgs":false,"family":"Oreopoulos","given":"L.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wen, G.","contributorId":139618,"corporation":false,"usgs":false,"family":"Wen","given":"G.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshak, S.","contributorId":34657,"corporation":false,"usgs":false,"family":"Marshak","given":"S.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tsay, S. #NAME?","contributorId":139619,"corporation":false,"usgs":false,"family":"Tsay","given":"S.","email":"","middleInitial":"#NAME?","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeFelice, Tom","contributorId":9829,"corporation":false,"usgs":true,"family":"DeFelice","given":"Tom","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":542090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005311,"text":"70005311 - 2000 - Accuracy assessment for the U.S. Geological Survey Regional Land-Cover Mapping Program: New York and New Jersey Region","interactions":[],"lastModifiedDate":"2017-04-14T13:57:55","indexId":"70005311","displayToPublicDate":"2011-09-01T00:00:00","publicationYear":"2000","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":"Accuracy assessment for the U.S. Geological Survey Regional Land-Cover Mapping Program: New York and New Jersey Region","docAbstract":"The U.S. Geological Survey, in cooperation with other government and private organizations, is producing a conterminous U.S. land-cover map using Landsat Thematic Mapper 30-meter data for the Federal regions designated by the U.S. Environmental Protection Agency. Accuracy assessment is to be conducted for each Federal region to estimate overall and class-specific accuracies. In Region 2, consisting of New York and New Jersey, the accuracy assessment was completed for 15 land-cover and land-use classes, using interpreted 1:40,000-scale aerial photographs as reference data. The methodology used for Region 2 features a two-stage, geographically stratified approach, with a general sample of all classes (1,033 sample sites), and a separate sample for rare classes (294 sample sites). A confidence index was recorded for each land-cover interpretation on the 1:40,000-scale aerial photography The estimated overall accuracy for Region 2 was 63 percent (standard error 1.4 percent) using all sample sites, and 75.2 percent (standard error 1.5 percent) using only reference sites with a high-confidence index. User's and producer's accuracies for the general sample and user's accuracy for the sample of rare classes, as well as variance for the estimated accuracy parameters, were also reported. Narrowly defined land-use classes and heterogeneous conditions of land cover are the major causes of misclassification errors. Recommendations for modifying the accuracy assessment methodology for use in the other nine Federal regions are provided.","language":"English","publisher":"ASPRS","usgsCitation":"Zhu, Z., Yang, L., Stehman, S.V., and Czaplewski, R.L., 2000, Accuracy assessment for the U.S. Geological Survey Regional Land-Cover Mapping Program: New York and New Jersey Region: Photogrammetric Engineering and Remote Sensing, v. 66, p. 1425-1438.","productDescription":"14 p.","startPage":"1425","endPage":"1438","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":91951,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/rm/pubs_other/rmrs_2000_zhu_z001.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"66","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db69966e","contributors":{"authors":[{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":352259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":352257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":352260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Czaplewski, Raymond L.","contributorId":62729,"corporation":false,"usgs":true,"family":"Czaplewski","given":"Raymond","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":352258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5211170,"text":"5211170 - 2000 - Roadside versus remote:  Is the habitat sampled by the Breeding Bird Survey in Maryland representative of statewide conditions?","interactions":[],"lastModifiedDate":"2012-02-02T00:15:26","indexId":"5211170","displayToPublicDate":"2009-06-09T09:23:19","publicationYear":"2000","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Roadside versus remote:  Is the habitat sampled by the Breeding Bird Survey in Maryland representative of statewide conditions?","docAbstract":"The North American Breeding Bird Survey (BBS) has received criticism that the bird habitat sampled along the 24.5 mile long roadside transects may not be proportional to regional totals.  If true, trends in bird populations recorded by the BBS may not be sensitive predictors of regional or continental change in songbird abundance.  To test whether the approximately 60 BBS routes in Maryland representatively sample the state's habitat, a geographic information system (GIS) database was compiled of significant bird habitat identified from remotely sensed landcover and land-use information (e.g., Multi-Resolution Land Characteristics Consortiumclassified Landsat Thematic Mapper imagery, etc.).  These GIS data layers were analyzed to determine the statewide acreage of identified habitats as well as the acreage in each of the major physiographic regions of Maryland.  Regional and statewide totals were also extracted for the subsample of habitat within 30 m of the BBS transects.  The results of the comparison of regional and statewide habitat totals with the BBS sample showed very low proportional difference for nearly all of the identified habitat parameters.  For Maryland and perhaps other urbanizing states, the BBS provides an accurate sample of available songbird habitats.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Extended abstracts from BioGeo99:  Applications to geospatial technology to biological sciences","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","collaboration":"http://pubs.er.usgs.gov/usgspubs/itr/itr000008, no PDF offered.  OCLC:  48040882","usgsCitation":"Boone, D., Sauer, J., and Thomas, I., 2000, Roadside versus remote:  Is the habitat sampled by the Breeding Bird Survey in Maryland representative of statewide conditions?, chap. <i>of</i> Extended abstracts from BioGeo99:  Applications to geospatial technology to biological sciences.","productDescription":"viii, 43","startPage":"34 (abs)","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0fe4b07f02db5feae3","contributors":{"editors":[{"text":"Handley, Lawrence R. handleyl@usgs.gov","contributorId":3459,"corporation":false,"usgs":true,"family":"Handley","given":"Lawrence","email":"handleyl@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":507665,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"D’Erchia, Frank J.","contributorId":70834,"corporation":false,"usgs":true,"family":"D’Erchia","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":507667,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Charron, Tammy M.","contributorId":17679,"corporation":false,"usgs":true,"family":"Charron","given":"Tammy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":507666,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Boone, D.D.","contributorId":76847,"corporation":false,"usgs":true,"family":"Boone","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":330313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":330312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, I.","contributorId":18484,"corporation":false,"usgs":true,"family":"Thomas","given":"I.","affiliations":[],"preferred":false,"id":330311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":31456,"text":"ofr2000309 - 2000 - Processed Thematic Mapper Satellite Imagery for Selected Areas within the U.S.-Mexico Borderlands","interactions":[],"lastModifiedDate":"2012-02-10T00:10:08","indexId":"ofr2000309","displayToPublicDate":"2002-03-01T00:00:00","publicationYear":"2000","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":"2000-309","title":"Processed Thematic Mapper Satellite Imagery for Selected Areas within the U.S.-Mexico Borderlands","docAbstract":"The study is summarized in the Adobe Acrobat Portable Document Format (PDF) file OF00-309.PDF. This publication also contain satellite full-scene images of selected areas along the U.S.-Mexico border. These images are presented as high-resolution images in jpeg format (IMAGES). The folder LOCATIONS in contains TIFF images showing exact positions of easily-identified reference locations for each of the Landsat TM scenes located at least partly within the U.S. A reference location table (BDRLOCS.DOC in MS Word format) lists the latitude and longitude of each reference location with a nominal precision of 0.001 minute of arc","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr2000309","usgsCitation":"Dohrenwend, J.C., Gray, F., and Miller, R.J., 2000, Processed Thematic Mapper Satellite Imagery for Selected Areas within the U.S.-Mexico Borderlands (Version 1.0): U.S. Geological Survey Open-File Report 2000-309, Available online and on CD-ROM, https://doi.org/10.3133/ofr2000309.","productDescription":"Available online and on CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":160029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10724,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/of00-309/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118,27 ], [ -118,34 ], [ -97,34 ], [ -97,27 ], [ -118,27 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9de4b07f02db65f8ea","contributors":{"authors":[{"text":"Dohrenwend, John C.","contributorId":90283,"corporation":false,"usgs":true,"family":"Dohrenwend","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":206042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":206040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":206041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":45135,"text":"pp1628 - 2000 - Regional ground-water evapotranspiration and ground-water budgets, Great Basin, Nevada","interactions":[],"lastModifiedDate":"2022-07-11T21:21:03.003777","indexId":"pp1628","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1628","title":"Regional ground-water evapotranspiration and ground-water budgets, Great Basin, Nevada","docAbstract":"PART A: Ground-water evapotranspiration data from five sites in Nevada and seven sites in Owens Valley, California, were used to develop equations for estimating ground-water evapotranspiration as a function of phreatophyte plant cover or as a function of the depth to ground water. Equations are given for estimating mean daily seasonal and annual ground-water evapotranspiration. The equations that estimate ground-water evapotranspiration as a function of plant cover can be used to estimate regional-scale ground-water evapotranspiration using vegetation indices derived from satellite data for areas where the depth to ground water is poorly known. Equations that estimate ground-water evapotranspiration as a function of the depth to ground water can be used where the depth to ground water is known, but for which information on plant cover is lacking. \r\n\r\nPART B: Previous ground-water studies estimated groundwater evapotranspiration by phreatophytes and bare soil in Nevada on the basis of results of field studies published in 1912 and 1932. More recent studies of evapotranspiration by rangeland phreatophytes, using micrometeorological methods as discussed in Chapter A of this report, provide new data on which to base estimates of ground-water evapotranspiration. An approach correlating ground-water evapotranspiration with plant cover is used in conjunction with a modified soil-adjusted vegetation index derived from Landsat data to develop a method for estimating the magnitude and distribution of ground-water evapotranspiration at a regional scale. Large areas of phreatophytes near Duckwater and Lockes in Railroad Valley are believed to subsist on ground water discharged from nearby regional springs. Ground-water evapotranspiration by the Duckwater phreatophytes of about 11,500 acre-feet estimated by the method described in this report compares well with measured discharge of about 13,500 acre-feet from the springs near Duckwater. Measured discharge from springs near Lockes was about 2,400 acre-feet; estimated ground-water evapotranspiration using the proposed method was about 2,450 acre-feet. \r\n\r\nPART C:  Previous estimates of ground-water budgets in Nevada were based on methods and data that now are more than 60 years old. Newer methods, data, and technologies were used in the present study to estimate ground-water recharge from precipitation and ground-water discharge by evapotranspiration by phreatophytes for 16 contiguous valleys in eastern Nevada. Annual ground-water recharge to these valleys was estimated to be about 855,000 acre-feet and annual ground-water evapotranspiration was estimated to be about 790,000 acrefeet; both are a little more than two times greater than previous estimates. The imbalance of recharge over evapotranspiration represents recharge that either (1) leaves the area as interbasin flow or (2) is derived from precipitation that falls on terrain within the topographic boundary of the study area but contributes to discharge from hydrologic systems that lie outside these topographic limits. \r\n\r\nA vegetation index derived from Landsat-satellite data was used to estimate phreatophyte plant cover on the floors of the 16 valleys. The estimated phreatophyte plant cover then was used to estimate annual ground-water evapotranspiration. Detailed estimates of summer, winter, and annual ground-water evapotranspiration for areas with different ranges of phreatophyte plant cover were prepared for each valley. The estimated ground-water discharge from 15 valleys, combined with independent estimates of interbasin ground-water flow into or from a valley, were used to calculate the percentage of recharge derived from precipitation within the topographic boundary of each valley. These percentages then were used to estimate ground-water recharge from precipitation within each valley. \r\n\r\nGround-water budgets for all 16 valleys were based on the estimated recharge from precipitation and estimated evapotranspiration. 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,{"id":5510,"text":"fs10800 - 2000 - National land cover dataset","interactions":[{"subject":{"id":5509,"text":"fs13699 - 1999 - National land cover dataset","indexId":"fs13699","publicationYear":"1999","noYear":false,"title":"National land cover dataset"},"predicate":"SUPERSEDED_BY","object":{"id":5510,"text":"fs10800 - 2000 - National land cover dataset","indexId":"fs10800","publicationYear":"2000","noYear":false,"title":"National land cover dataset"},"id":1}],"lastModifiedDate":"2022-04-28T10:53:26.138336","indexId":"fs10800","displayToPublicDate":"2000-10-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"108-00","title":"National land cover dataset","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Environmental Protection Agency, has produced a land cover dataset for the conterminous United States on the basis of 1992 Landsat thematic mapper imagery and supplemental data. The National Land Cover Dataset (NLCD) is a component of the USGS Land Cover Characterization Program. The seamless NLCD contains 21 categories of land cover information suitable for a variety of State and regional applications, including landscape analysis, land management, and modeling nutrient and pesticide runoff. The NLCD is distributed by State as 30-meter resolution raster images in an Albers Equal-Area map projection.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs10800","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2000, National land cover dataset (Supersedes FS-136-99): U.S. Geological Survey Fact Sheet 108-00, 1 p., https://doi.org/10.3133/fs10800.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":32081,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2000/0108/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":122815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2000/0108/report-thumb.jpg"},{"id":108,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2000/0108/","linkFileType":{"id":5,"text":"html"}}],"edition":"Supersedes FS-136-99","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db6983b7","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":528627,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70125319,"text":"70125319 - 2000 - Evaluation of remote-sensing techniques to measure decadal-scale changes of Hofsjokull ice cap, Iceland","interactions":[],"lastModifiedDate":"2017-08-30T10:16:37","indexId":"70125319","displayToPublicDate":"2000-09-16T10:25:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of remote-sensing techniques to measure decadal-scale changes of Hofsjokull ice cap, Iceland","docAbstract":"Dynamic surficial changes and changes in the position of the firn line and the areal extent of Hofsjökull ice cap, Iceland, were studied through analysis of a time series (1973–98) of synthetic-aperture radar (SAR) and Landsat data. A digital elevation model of Hofsjökull, which was constructed using SAR interferometry, was used to plot the SAR backscatter coefficient (\u0001\u0001σ°) vs elevation and air temperature along transects across the ice cap. Seasonal and daily σ° patterns are caused by freezing or thawing of the ice-cap surface, and abrupt changes in σ° are noted when the air temperature ranges from ∼−5° to 0°C. Late-summer 1997 σ° (SAR) and reflectance (Landsat) boundaries agree and appear to be coincident with the firn line and a SAR σ° boundary that can be seen in the January 1998 SAR image. In January 1994 through 1998, the elevation of this σ° boundary on the ice capwas quite stable, ranging from 1000 to 1300 m, while the equilibrium-line altitude, as measured on the ground, varied considerably. Thus the equilibrium line may be obscured by firn from previous years. Techniques are established to measure long-term changes in the elevation of the firn line and changes in the position of the ice margin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3189/172756500781833061","usgsCitation":"Hall, D., Williams, R., Barton, J., Sigurdsson, O., Smith, L., and Garvin, J., 2000, Evaluation of remote-sensing techniques to measure decadal-scale changes of Hofsjokull ice cap, Iceland: Journal of Glaciology, v. 46, no. 154, p. 375-388, https://doi.org/10.3189/172756500781833061.","productDescription":"14 p.","startPage":"375","endPage":"388","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":479117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/172756500781833061","text":"Publisher Index Page"},{"id":293913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","otherGeospatial":"Hofsjokull ice cap","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -18.8487,64.8072 ], [ -18.8487,64.8262 ], [ -18.7847,64.8262 ], [ -18.7847,64.8072 ], [ -18.8487,64.8072 ] ] ] } } ] }","volume":"46","issue":"154","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"54195130e4b091c7ffc8e67d","contributors":{"authors":[{"text":"Hall, D.K.","contributorId":84506,"corporation":false,"usgs":true,"family":"Hall","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":501254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, R.S. Jr.","contributorId":46102,"corporation":false,"usgs":true,"family":"Williams","given":"R.S.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":501252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, J.S.","contributorId":54905,"corporation":false,"usgs":true,"family":"Barton","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":501253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigurdsson, O.","contributorId":30156,"corporation":false,"usgs":true,"family":"Sigurdsson","given":"O.","email":"","affiliations":[],"preferred":false,"id":501250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, L.C.","contributorId":88561,"corporation":false,"usgs":true,"family":"Smith","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":501255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garvin, J.B.","contributorId":37652,"corporation":false,"usgs":true,"family":"Garvin","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":501251,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230881,"text":"70230881 - 2000 - Landsat 7 on-orbit geometric calibration and performance","interactions":[],"lastModifiedDate":"2022-04-27T16:49:02.34423","indexId":"70230881","displayToPublicDate":"2000-08-23T11:43:35","publicationYear":"2000","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 7 on-orbit geometric calibration and performance","docAbstract":"<p><span>The Landsat 7 Image Assessment System was developed to characterize and calibrate the radiometric and geometric performance of the Landsat 7 Enhanced Thematic Mapper Pius (ETM+) instrument. Algorithms and software assess the geometric performance of the Landsat 7 spacecraft and ETM+ sensor system and perform geometric calibration by estimating sensor and spacecraft geometric parameters. Following the initial on-orbit calibration, performed during the Landsat 7 on- orbit initialization and verification period, all geometric performance goals were met. Geometric characterization and calibration activities will continue for the life of the Landsat 7 mission.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, Aerosense 2000 algorithms for multispectral, hyperspectral, and ultraspectral imagery VI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Aerosense 2000, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI","conferenceDate":"Apr 24-28, 2000","conferenceLocation":"Orlando, FL","language":"English","publisher":"SPIE","doi":"10.1117/12.410335","usgsCitation":"Storey, J.C., and Choate, M., 2000, Landsat 7 on-orbit geometric calibration and performance, <i>in</i> Proceedings, Aerosense 2000 algorithms for multispectral, hyperspectral, and ultraspectral imagery VI, v. 4049, Orlando, FL, Apr 24-28, 2000, p. 143-154, https://doi.org/10.1117/12.410335.","productDescription":"12 p.","startPage":"143","endPage":"154","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":399761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4049","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":841552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":841553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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