{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T04:54:05Z","timestamp":1781585645579,"version":"3.54.5"},"reference-count":25,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2014,11,13]],"date-time":"2014-11-13T00:00:00Z","timestamp":1415836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNX11AG70G"],"award-info":[{"award-number":["NNX11AG70G"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NMO710627"],"award-info":[{"award-number":["NMO710627"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Landsat program has been producing an archive of thermal imagery that spans the globe and covers 30 years of the thermal history of the planet at human scales  (60\u2013120 m). Most of that archive\u2019s absolute radiometric calibration has been fixed through vicarious calibration techniques. These calibration ties to trusted values have often taken a year or more to gather sufficient data and, in some cases, it has been over a decade before calibration certainty has been established. With temperature being such a critical factor for all living systems and the ongoing concern over the impacts of climate change, NASA and the United States Geological Survey (USGS) are leading efforts to provide timely and accurate temperature data from the Landsat thermal data archive. This paper discusses two closely related advances that are critical steps toward providing timely and reliable temperature image maps from Landsat. The first advance involves the development and testing of an autonomous procedure for gathering and performing initial screening of large amounts of vicarious calibration data. The second advance discussed in this paper is the  per-pixel atmospheric compensation of the data to permit calculation of the emitted surface radiance (using ancillary sources of emissivity data) and the corresponding land surface temperature (LST).<\/jats:p>","DOI":"10.3390\/rs61111244","type":"journal-article","created":{"date-parts":[[2014,11,13]],"date-time":"2014-11-13T11:22:30Z","timestamp":1415877750000},"page":"11244-11266","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":213,"title":["Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive"],"prefix":"10.3390","volume":"6","author":[{"given":"Monica","family":"Cook","sequence":"first","affiliation":[{"name":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology,  54 Lomb Memorial Drive, Rochester, NY 14623, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Schott","sequence":"additional","affiliation":[{"name":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology,  54 Lomb Memorial Drive, Rochester, NY 14623, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Mandel","sequence":"additional","affiliation":[{"name":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology,  54 Lomb Memorial Drive, Rochester, NY 14623, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina","family":"Raqueno","sequence":"additional","affiliation":[{"name":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology,  54 Lomb Memorial Drive, Rochester, NY 14623, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,11,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2767","DOI":"10.1109\/TGRS.2004.839092","article-title":"In-flight validation and recovery of water surface temperature with Landsat-5 thermal infrared data using an automated high-altitude lake validation site at Lake Tahoe","volume":"42","author":"Hook","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/S0034-4257(01)00253-X","article-title":"Calibration of Landsat thermal data and application to water resource studies","volume":"78","author":"Schott","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"617","DOI":"10.5589\/m10-084","article-title":"Calibration of Landsat 5 thermal infrared channel: Updated calibration history and assessment of the errors associated with the methodology","volume":"36","author":"Padula","year":"2011","journal-title":"Can. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.rse.2011.07.022","article-title":"Thermal infrared radiometric calibration of the entire Landsat 4, 5, and 7 archive (1982\u20132010)","volume":"122","author":"Schott","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Barsi, J.A., Markham, B.L., Schott, J.R., Hook, S.J., and Raque\u00f1o, N.G. (2010, January 25\u201330). Twenty-five years of Landsat thermal band calibration. 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