Thermal Infrared Remote Sensing System Techniques Applications in Agriculture: The Case Study of Split Window Techniques Simulated the Canopy Surface Temperature of Winter Wheat in Handan

摘要

Land surface temperature (LST) is an important quantity parameter for agricultural crop environmental models , in this article, NOAA AVHRR thermal infrared images data of 10 days were used for surface temperature retrieval by using the split window techniques (SWT). Nine kinds of split window algorithms were used to retrieve surface temperature of Handan in North Plain of China during the growing stage of winter wheat in 2002, and the results were validated by ground experiment. It indicates that UL92 model is the best method for land surface temperature retrieval in plain area of Handan with less average error and standard variation error. For the mountainous areas and highland, if digital elevation model was combined, split window algorithms could retrieve land surface temperature more precisely.