Title: Land Surface Temperature and Sensible Heat Flux Estimated from Remote Sensing over Oasis and Desert
Abstract: Using the Gulang Heterogeneous Underlying Surface Layer Experiment(GHUSLE) data,the applicability of local split-window algorithms in the heterogeneous underlying surface are verified,and further the modified algorithms are provided to improve the retrieval accuracy.The sensible heat flux in the experiment area is retrieved by using the modified local split-window algorithm and the improved aerodynamics resistance algorithm.The results show that the Becker algorithm is the best one for retrieving the land surface temperature(LST) in the heterogeneous underlying surface.Comparing with the observed data,the LST and sensible heat flux obtained by the modified algorithms are more reasonable,and the root mean square errors are 2.38 K and 23.49 W·m~-2.The regional distribution characteristics of the LST and sensible heat flux are similar which are expressed as: The change gradients of LST and sensible heat flux in the oasis and desert regions are smaller than those in the transition region.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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Cited By Count: 2
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