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Land surface temperature (LST) is an important parameter in many ecological studies. The current Root Mean Square Error (RMSE) in standard MODIS and ASTER LST products is greater than 1K, and for ASTER can be as large as 4K for graybody pixels such as vegetation. Errors of 3 to 8K have been observed for ASTER in humid conditions, making knowledge of atmospheric water vapor content critical in retrieving...
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