Remotely sensed retrieval of midday air temperature considering atmospheric and surface moisture conditions
Author:
Affiliation:
1. a Brain Korea 21 Graduate School of Earth Environmental System , Pukyong National University , Busan , 608-737 , Korea
2. b Department of Spatial Information Engineering , Pukyong National University , Busan , 608-737 , Korea
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2012.712235
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1. A Split-Window Algorithm for Estimating LST From Meteosat 9 Data: Test and Comparison With Data and MODIS LSTs
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5. Estimating surface air temperatures, from Meteosat land surface temperatures, using an empirical solar zenith angle model
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