Abstract
Regional or global land surface temperature can only be got by remote sensing technology,which is a very important parameter in many applications.Land surface temperature retrieval is a hot and difficult problem in the research of thermal infrared remote sensing,in which atmospheric correction,temperature and emissivity separation must be considered.Many research have been developed in recent years,which can be classified to 5 categories including single band method,split-window method,multi-bands temperature and emissivity separation methods,multi-angles retrieval method,and combination of multi-angles and channels,but these methods have both advantages and disadvantages.How to improve retrieval precision and models applicability are the future development trends for land surface temperature retrieval,and synthetic application of multi information by theory combined with experiment methods is the inevitable request.
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