Abstract
The monitoring of soil water content plays an important role in agricultural production. This paper uses high resolution remote sensing image (GF-2 image) and measured soil water content data combined with dual-band, multi-band and PDI index inversion models to invert the soil water content of Xiyan and Wangxingjia Village of Jiyang District, Jinan City, and the effects of soil water content inversion were compared and verified. The results show that the decision coefficients of the multi-band inversion model reach 0.690, respectively, with the highest accuracy. More than 90% of the area in this study area has a soil water content greater than 0.15, which is dominated by suitable and wet soils, mainly distributed in the central part of the study area and near water bodies such as paddy fields, pit ponds and ditches; heavy drought, moderate drought, Light and dry soils account for a very small number, mainly distributed in the southwest direction of the study area, that is, the west side of Wangxingjia Village, distributed in a strip shape. It can be seen that GF-2 images can carry out the inversion of large-scale soil water content and provide a basis for scientific decision-making of agricultural production.
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