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Abstract
The split‐window method is used widely for Earth surface temperature determination from remotely sensed data. The split‐window coefficients depend on the surface emissivities, atmospheric absorption coefficients and total water vapour amount. It is always a challenge to obtain the local split‐window coefficients for the land surface. An iterative self‐consistent approach has been used previously for studying atmospheric effects in optical scanner data for the oceans. This Letter presents a similar approach for Earth surface temperatures. The method can be used for Along‐Track Scanning Radiometer (ATSR) thermal infrared data to derive the localized split‐window coefficients, which are a function of space and time of surface emissivity, radiative forcing, etc., especially for land surface areas.
Acknowledgments
The authors would like to express their thanks to the Rutherford Appleton Laboratory for supplying the ATSR data. This publication is an output from the research projects ‘CAS Hundred Talents Program’ and ‘Digital Earth’ (KZCX2‐312) funded by the Chinese Academy of Sciences.