基于光谱指数的植被含水率遥感反演模型研究——以岷江上游毛尔盖地区为例

Remote Sensing Retrieval Model of Vegetation Moisture Content Based on Spectral Index:A Case Study in Maoergai of Minjiang River’Upstream

利用研究区植被样本实测含水率和实测光谱数据,基于植被光谱指数法,建立植被含水率与植被光谱指数之间的数学模型,同时利用该模型对研究区的遥感数据进行分析,反演植被含水率。结果证明:简单比值光谱指数与植被含水率有较好的相关性,线性模型更适合该研究区的植被含水率反演。1999年和2007年两年的植被含水率反演结果显示:9年间植被含水率提高,含水率高的面积增大。

Based on the measured vegetation moisture content and vegetation spectrum of samples in the study area,this pa- per firstly established the mathematical model between vegetation moisture content and vegetation spectral index and then in- versed the vegetation moisture content by using the vegetation spectral index method. Results show that：the simple ratio spec- tral index has good correlation to vegetation moisture content, and the linear model is more suitable for retrieving vegetation moisture content. The vegetation moisture content retrieval results in 1999 and 2007 show that：the vegetation moisture content has raised during the 9 years,and the area of increased vegetation moisture content has also increased.