The study of remote sensing quantitative model for soil moisture retrieval in coal mining area of Northern Shaanxi

Abstract

The moisture storaged in soil-vadose zone is the important components of natural water cycles, which has a close relationship with water-soil-plant system and plays an important role for the healthy development of ecological environment. The study of the article developed the remote sensing quantitative model for soil moisture retrieval by statistics regression analysis based upon the soil sample parameters collected from the field, spectral data gathered simultaneously and simulated the bands of Landsat7 ETM in the typical fissure sites of coal mining area in the Northern of Shaanxi. The results showed that band4 of Landsat7 ETM is the most sensitive band for soil moisture retrieval using spectrum method. The quadratic model that was developed by remote sensing reflectance (Rrs4) (corresponding to the band4) as independent variable, is the best patterns. The root mean square error ( RMSE) is 0.59%.