采用经典统计学与GIS相结合的方法分析了以新疆库车县为代表的绿洲-荒漠交错带的土壤水以及地下水埋深的分布情况,在借助遥感手段结合实测数据的基础上,运用TS-VI特征空间(TS-NDVI与TS-MSAVI特征空间)反演了土壤含水量,并以此反演出地下水埋深分布状况,并对2种方法的精度进行比较,寻求适用于研究样区的反演算法。结果表明,地下水埋深与0-10 cm层的土壤相对含水量(SRWC)相关系数最高,高达0.8024;利用2种方法提取土壤相对含水量的精度均满足研究需求,但TVDIMSAVI反演的SRWC精度高于TVDINDVI,进而使用TVDIMSAVI和0-10 cm层的SRWC反演得到了研究区的地下水埋深分布图;在缺少实测土壤相对含水量数据时,运用此方法反演地下水埋深是可行的。
The distribution of soil and groundwater depth of oasis-desert ecotone was analyzed by classical statistics and GIS methods. Combining of remote sensing and on the basis of the measured data, soil water content was inversely analyzed using TS-VI feature space(TS-NDVI and TS-MSAVI feature space),thus anti-performance distribution of groundwater depth was got,and the accuracy of two kinds of methods were compared to seek suitable inversion algorithms of sample region. The results showed that,groundwater depth and soil relative water content(SRWC) of 0 to 10 cm layer was high correlation,and coefficient was up to 0.802 4. The accuracy of SRWC that extracted by two methods both met research needs,but TVDIMSAVIwas better than TVDINDVI,so using TVDIMSAVIand SRWC of 0 to 10 cm layer to inverse and get the distribution map of groundwater depth.In the absence of actual data of soil relative water content,this method was feasible to inverse groundwater depth.