Comparison and analysis of soil moisture retrieval model from CBERS-02B satellite imagery

Retrievals of surface soil moisture (SSM) from remotely sensed satellites have become important in agriculture, meteorology. However, any models have been presented for different satellite imagery, which are complex with data processing cumbersome and inconvenient. This paper introduces the one model of CBERS-02B and two models of Landsat TM image. Comparing and analyzing the accuracy of the models from CBERS-02B satellite imagery. The results showed that the overall accuracy of SSM from CBERS-02B's average soil moisture content reached 91.26%. It is higher than the accuracy of the other models of Landsat TM. These results demonstrate that the model can effectively calculate the SSMs for CBERS-02B satellite imagery.