An Advanced and Optimized Split-Window Algorithm for Retrieving Land-Surface Temperature from ASTER Data

摘要

ASTER and MODIS is two EOS (Earth Observing System) instruments in Terra satellite. The two instruments can make up for each other in their own predominance. This paper intends to present an advanced and optimized split window algorithm utilized to retrieve land surface temperature from ASTER data, which involves two essential parameters (transmittancc and emissivity) and the method to simplify Planck function has been proposed. The method for linearization of Planck function, how to obtain atmosphere transmittance from MODIS MR bands is discussed with details. In order to improve the accuracy and practical of split algorithm, we optimize the combination of for four TIR ASTER bands according to the different sensitivity for different band in different water content. The most meaning of our study is that we utilize the multiple instruments advantages. That is, we obtain the key parameter transmittance from retrieval water content by NIR bands of MODIS, which is very difficult for many split-window algorithms.