An Empirical Method for Soil Salinity and Moisture Inversion in West of Jilin

摘要

Soil salinization has been known as a world wide problem. It is a chemical process that causes soil degradation particularly in arid and semi-arid agriculture region. There both advantages and disadvantages of optical and microwave remote sensing in the recognition of salinization soil. In order to retrieve both soil salinity and moisture, an empirical method is presented in this paper which is combined optical, microwave remote sensing and ground-based data. Based on the analysis of the relationship between SAR backscatter, NDVI and soil salinity and moisture, a multiple linear regression is used. The RMSE of soil salinity and moisture are 3.175 g/Kg and 3.169% respectively. The results demonstrate that combing microwave and optical remote sensing are suitable for inversion salinity and moisture content in salinization soil, however, methods based on theory knowledge need to be proposed in further research.