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在短波角度斜率指数(Shortwave Angle Slope Index,SASI)的基础上,通过分析SASI与土壤相对湿度(MoistureinSoil,MS)之间的线性关系,引入SASI与MS特征空间中的斜率参数和截距参数,导出修正的短波角度斜率指数(ModifiedSASI,MSASI),建立了SASI与土壤相对湿度之间的关系模型。为验证该遥感模型的有效性,论文利用河北省实测土壤水分含量数据与MODIS遥感数据对MSASI进行了检验。结果表明,该指数模型计算简便,表示土壤水分含量的精度较高,适合中分辨率影像进行大面积水分监测,是一种有效的土壤水分监测方法。
Based on the Shortwave Angle Slope Index (SASI) and by analyzing the linear relationship between SASI and MoistureinSoil (MS), the slope and intercept parameters in SASI and MS feature space are introduced. The modified Modified SASI (MSASI) was derived to establish a model of the relationship between SASI and soil relative humidity. In order to verify the validity of this remote sensing model, the paper tested the soil moisture content of Hebei Province and MODIS remote sensing data to test the MSASI. The results show that the index model is simple and convenient to calculate, indicating that the accuracy of soil moisture content is high, and it is suitable for medium-resolution image for monitoring large area water. It is an effective soil moisture monitoring method.