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
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.
land suface temperature split window techniques thermal infrared remote sensing winter wheat
Liu Yun Hou Shiquan
Beijing University of AgricultureBeijing, China Chinese Research Academy of Environmental Sciences Beijing, China
国际会议
深圳
英文
290-293
2011-03-28（万方平台首次上网日期，不代表论文的发表时间）