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《Journal of Anhui Agricultural Sciences》 2008-20
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Inversion Study on the Bare Soil Layers Temperature Remote Sensing Based on EOS/MODIS Images

GUO Qian et al(College of Remote Sensing,Nanjing University of Information Science and Technology,Nanjing,Jiangsu 210044)  
The temperature of different bare soil layers in Shaanxi was retrieved with split windows method of LST coupled with CERES Model based on EOS/MODIS images.The results showed that the change trend of predicted values and measured values of soil temperatures were relatively consistent.The relationship between the soil temperatures retrieved and the measured reached extremely significant level.The average absolute errors decreased from 5 cm to 60 cm deep in the soil.It was below 1℃ at 40 and 60 cm soil layers,but relatively higher at 80 and 160 cm layers.Therefore,the temperature of some deep soil layers could be retrieved by remote sensing coupled with other models to some extent in precision.
【Fund】: 国家重点基础研究发展计划(973计划)资助(2005CB121108);; 江苏省“青蓝工程”资助;; 南京信息工程大学重点科研基金资助
【CateGory Index】: S152
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