Daytime Land Surface Temperature Extraction from MODIS Thermal Infrared Data under Cirrus Clouds.
Identifieur interne : 000154 ( Main/Merge ); précédent : 000153; suivant : 000155Daytime Land Surface Temperature Extraction from MODIS Thermal Infrared Data under Cirrus Clouds.
Auteurs : Xiwei Fan [République populaire de Chine] ; Bo-Hui Tang [République populaire de Chine] ; Hua Wu [République populaire de Chine] ; Guangjian Yan [République populaire de Chine] ; Zhao-Liang Li [République populaire de Chine]Source :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2015.
Abstract
Simulated data showed that cirrus clouds could lead to a maximum land surface temperature (LST) retrieval error of 11.0 K when using the generalized split-window (GSW) algorithm with a cirrus optical depth (COD) at 0.55 μm of 0.4 and in nadir view. A correction term in the COD linear function was added to the GSW algorithm to extend the GSW algorithm to cirrus cloudy conditions. The COD was acquired by a look up table of the isolated cirrus bidirectional reflectance at 0.55 μm. Additionally, the slope k of the linear function was expressed as a multiple linear model of the top of the atmospheric brightness temperatures of MODIS channels 31-34 and as the difference between split-window channel emissivities. The simulated data showed that the LST error could be reduced from 11.0 to 2.2 K. The sensitivity analysis indicated that the total errors from all the uncertainties of input parameters, extension algorithm accuracy, and GSW algorithm accuracy were less than 2.5 K in nadir view. Finally, the Great Lakes surface water temperatures measured by buoys showed that the retrieval accuracy of the GSW algorithm was improved by at least 1.5 K using the proposed extension algorithm for cirrus skies.
DOI: 10.3390/s150509942
PubMed: 25928059
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Clouds.</title><author><name sortKey="Fan, Xiwei" sort="Fan, Xiwei" uniqKey="Fan X" first="Xiwei" last="Fan">Xiwei Fan</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. fanxw.11b@igsnrr.ac.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Tang, Bo Hui" sort="Tang, Bo Hui" uniqKey="Tang B" first="Bo-Hui" last="Tang">Bo-Hui Tang</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Resources and Environment Information System, 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A correction term in the COD linear function was added to the GSW algorithm to extend the GSW algorithm to cirrus cloudy conditions. The COD was acquired by a look up table of the isolated cirrus bidirectional reflectance at 0.55 μm. Additionally, the slope k of the linear function was expressed as a multiple linear model of the top of the atmospheric brightness temperatures of MODIS channels 31-34 and as the difference between split-window channel emissivities. The simulated data showed that the LST error could be reduced from 11.0 to 2.2 K. The sensitivity analysis indicated that the total errors from all the uncertainties of input parameters, extension algorithm accuracy, and GSW algorithm accuracy were less than 2.5 K in nadir view. Finally, the Great Lakes surface water temperatures measured by buoys showed that the retrieval accuracy of the GSW algorithm was improved by at least 1.5 K using the proposed extension algorithm for cirrus skies.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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