{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T16:07:17Z","timestamp":1726848437383},"reference-count":33,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T00:00:00Z","timestamp":1395705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Land surface temperature (LST) is one of the most important variables measured by satellite remote sensing. Public domain data are available from the newly operational Landsat-8 Thermal Infrared Sensor (TIRS). This paper presents an adjustment of the split window algorithm (SWA) for TIRS that uses atmospheric transmittance and land surface emissivity (LSE) as inputs. Various alternatives for estimating these SWA inputs are reviewed, and a sensitivity analysis of the SWA to misestimating the input parameters is performed. The accuracy of the current development was assessed using simulated Modtran data. The root mean square error (RMSE) of the simulated LST was calculated as 0.93 \u00b0C. This SWA development is leading to progress in the determination of LST by Landsat-8 TIRS.<\/jats:p>","DOI":"10.3390\/s140405768","type":"journal-article","created":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T16:33:44Z","timestamp":1395765224000},"page":"5768-5780","source":"Crossref","is-referenced-by-count":291,"title":["Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm"],"prefix":"10.3390","volume":"14","author":[{"given":"Offer","family":"Rozenstein","sequence":"first","affiliation":[{"name":"The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boker Campus, Midreshet Ben-Gurion 84990, Israel"}]},{"given":"Zhihao","family":"Qin","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]},{"given":"Yevgeny","family":"Derimian","sequence":"additional","affiliation":[{"name":"Laboratoire d'Optique Atmosph\u00e9rique, Universit\u00e9 de Lille1\/CNRS, Villeneuve d'Ascq 59655, France"}]},{"given":"Arnon","family":"Karnieli","sequence":"additional","affiliation":[{"name":"The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boker Campus, Midreshet Ben-Gurion 84990, Israel"}]}],"member":"1968","published-online":{"date-parts":[[2014,3,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1126\/science.1117368","article-title":"Role of Land-Surface Changes in Arctic Summer Warming","volume":"310","author":"Chapin","year":"2005","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1038\/nature01675","article-title":"Impact of Urbanization and Land-use Change on Climate","volume":"423","author":"Kalnay","year":"2003","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1126\/science.1064034","article-title":"Climate, and the Hydrological Cycle","volume":"294","author":"Ramanathan","year":"2001","journal-title":"Science"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/0143116031000115328","article-title":"Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index Products for Monitoring Drought in the Southern Great Plains, USA","volume":"25","author":"Wan","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1175\/2009JCLI2900.1","article-title":"Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations","volume":"23","author":"Karnieli","year":"2010","journal-title":"J. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2071","DOI":"10.1016\/j.agrformet.2009.05.016","article-title":"Advances in Thermal Infrared Remote Sensing for Land Surface Modeling","volume":"149","author":"Kustas","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"L02402","DOI":"10.1029\/2007GL032195","article-title":"Utility of Thermal Image Sharpening for Monitoring Field-Scale Evapotranspiration Over Rainfed and Irrigated Agricultural Regions","volume":"35","author":"Agam","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2012.12.008","article-title":"Satellite-Derived Land Surface Temperature: Current Status and Perspectives","volume":"131","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.rse.2011.08.026","article-title":"The Next Landsat Satellite: The Landsat Data Continuity Mission","volume":"122","author":"Irons","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3776","DOI":"10.3390\/rs5083776","article-title":"Application of Landsat to Evaluate Effects of Irrigation Forbearance","volume":"5","author":"Cuenca","year":"2013","journal-title":"Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"17057","DOI":"10.1029\/98JD01480","article-title":"Thermal Band Selection for the PRISM Instrument: 3. Optimal Band Configurations","volume":"103","author":"Caselles","year":"1998","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"7231","DOI":"10.1029\/JD089iD05p07231","article-title":"Land Surface Temperature Measurements from the Split Window Channels of the NOAA 7 Advanced very High Resolution Radiometer","volume":"89","author":"Price","year":"1984","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3181","DOI":"10.1080\/01431160500044713","article-title":"A Practical Split-Window Algorithm for Retrieving Land-Surface Temperature from MODIS Data","volume":"26","author":"Mao","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.rse.2004.06.009","article-title":"Land Surface Temperature Retrieval from MSG1-SEVIRI Data","volume":"92","author":"Sobrino","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"933","DOI":"10.3390\/s8020933","article-title":"Generalized Split-Window Algorithm for Estimate of Land Surface Temperature from Chinese Geostationary FengYun Meteorological Satellite (FY-2C) Data","volume":"8","author":"Tang","year":"2008","journal-title":"Sensors"},{"key":"ref_16","unstructured":"TIRS Relative Spectral Response. Available online: http:\/\/landsat.gsfc.nasa.gov\/wp-content\/ uploads\/2013\/06\/TIRS_Relative_Spectral_Responses.BA_.v1.xlsx."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5113","DOI":"10.1029\/JC080i036p05113","article-title":"Estimation of Sea Surface Temperatures from Two Infrared Window Measurements with Different Absorption","volume":"80","author":"McMillin","year":"1975","journal-title":"J. Geophys. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"22655","DOI":"10.1029\/2000JD900452","article-title":"Derivation of Split Window Algorithm and Its Sensitivity Analysis for Retrieving Land Surface Temperature from NOAA-Advanced very High Resolution Radiometer Data","volume":"106","author":"Qin","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/0034-4257(91)90069-I","article-title":"Atmospheric Correction for Land Surface Temperature using NOAA-11 AVHRR Channels 4 and 5","volume":"38","author":"Sobrino","year":"1991","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1695","DOI":"10.1080\/01431169408954201","article-title":"Retrieval of Land and Sea Surface Temperature using NOAA-11 AVHRR\u00b7 Data in North-Eastern Brazil","volume":"15","author":"Franc","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/TGRS.2007.909097","article-title":"Evaluation of Split-Window Land Surface Temperature Algorithms for Generating Climate Data Records","volume":"46","author":"Yu","year":"2008","journal-title":"Geosci. IEEE Trans Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/BF00121320","article-title":"Atmospheric Correction of Infrared Measurements of Sea Surface Temperature Using Channels at 3.7, 11 and 12 Mm","volume":"18","author":"Deschamps","year":"1980","journal-title":"Bound. Layer Meteorol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1080\/01431169408954054","article-title":"On the Atmospheric Dependence of the Split-Window Equation for Land Surface Temperature","volume":"15","author":"Coll","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(98)00031-5","article-title":"AERONET\u2014A Federated Instrument Network and Data Archive for Aerosol Characterization","volume":"66","author":"Holben","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0034-4257(88)90019-3","article-title":"An Improved Dark-Object Subtraction Technique for Atmospheric Scattering Correction of Multispectral Data","volume":"24","author":"Chavez","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/0034-4257(92)90092-X","article-title":"Emissivity of Terrestrial Materials in the 8\u201314 Mm Atmospheric Window","volume":"42","author":"Salisbury","year":"1992","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2563","DOI":"10.1080\/01431160110115041","article-title":"Land Surface Temperature and Emissivity Estimation from Passive Sensor Data: Theory and Practice-Current Trends","volume":"23","author":"Dash","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3084","DOI":"10.1080\/01431161.2012.716540","article-title":"Land Surface Emissivity Retrieval from Satellite Data","volume":"34","author":"Li","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.1080\/014311698214497","article-title":"Classification-Based Emissivity for Land Surface Temperature Measurement from Space","volume":"19","author":"Snyder","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.rse.2004.02.003","article-title":"Land Surface Temperature Retrieval from LANDSAT TM 5","volume":"90","author":"Sobrino","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1080\/014311600210876","article-title":"Toward Remote Sensing Methods for Land Cover Dynamic Monitoring: Application to Morocco","volume":"21","author":"Sobrino","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"63591F","DOI":"10.1117\/12.689307","article-title":"An Algorithm to Retrieve Land Surface Temperature from ASTER Thermal Band Data for Agricultural Drought Monitoring","volume":"6359","author":"Qin","year":"2006","journal-title":"Proc. SPIE"},{"key":"ref_33","first-page":"636618-1","article-title":"Estimation of Land Surface Emissivity for Landsat TM6 and its Application to Lingxian Region in North China","volume":"6366","author":"Qin","year":"2006","journal-title":"Proc. SPIE"}],"updated-by":[{"updated":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T00:00:00Z","timestamp":1395705600000},"DOI":"10.3390\/s140611277","type":"correction","label":"Correction"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/4\/5768\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T03:59:51Z","timestamp":1717214391000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/4\/5768"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,25]]},"references-count":33,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2014,4]]}},"alternative-id":["s140405768"],"URL":"https:\/\/doi.org\/10.3390\/s140405768","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3,25]]}}}