Satellite remote sensing of land surface temperatures: application of the atmospheric correction method and split-window technique to data of ARM-SGP site
The performance of algorithms for the satellite remote sensing of land surface temperatures based on an atmospheric correction method and a split-window technique was examined. For this purpose, we employed comprehensive data collected over the Atmospheric Radiation Measurement Program (ARM) Southern Great Plain (SGP) Cloud and Radiation Testbed (CART) site for a number of manually determined clear and mostly clear dates during 1997 and 1999 with cloud coverage of less than 10%. The data sources included brightness temperature data measured by the Advanced Very High Resolution Radiometer (AVHRR) on-board National Oceanic and Atmospheric Administration (NOAA)-12 and NOAA-14, collocated and coincident observed surface temperatures derived from the solar and IR radiation observing system (SIROS) and solar and IR station (SIRS) data, and balloon-borne atmospheric sounding profiles. For the application of the atmospheric correction method, we used the Moderate Resolution Transmittance Model (MODTRAN) 3.7 to compute transmittances and atmospheric radiances. In the present study, comparison of the retrieved surface temperatures with observations obtained at the central and external facility sites over the SGP area shows that the accuracy of the atmospheric correction scheme is closer to the requirement that is acceptable for estimating surface latent heat fluxes than the split-window method.
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