Quantitative analysis of the soil moisture content based on multispectral remote sensing data
The soil moisture content that directly affects crop growth is an important parameter for determining the quality of cultivated land. In this paper, the mathematical model of RS spectrum index to retrieval the soil moisture content was built using regression analysis of the multispectral remote sensing data of ZY-3 and real measured data. The Tongzha land consolidation project in Hanshan county was used as a case to analyze the change of soil moisture content and spatial distribution before and after land consolidation. The result showed that the coefficient of EVI and soil moisture content in different soil layers could reach more than 0.79 and had a good linear fit between EVI and soil moisture content, which means that EVI can effectively retrieve the soil moisture content. The multi-spectral remote sensing system can quantitatively monitor the soil moisture content for a large area. After land consolidation, the area with low soil moisture content decreased by 32.7%, while the area with medium and high soil moisture content increased by 1.9% and 30.8%, respectively. The soil moisture content and distribution after land consolidation were apparently higher than those before land consolidation. It means that the land consolidation project can enhance the soil's ability of preserving soil moisture.