基于地形因子的土壤水分反演研究——以延河流域为例

Retrieving soil moisture based on terrain factors——A case study in Yanhe River Basin

以延河流域为研究区域,应用Landsat5/TM遥感数据和DEM数据进行归一化植被指数和地表温度的反演,并对气温参数进行了高程、坡度、坡向、地形遮蔽等地形因子的订正,更为精细地表达局地温度的空间分布差异。运用ERDAS的空间建模工具,反演得到温度植被干旱指数分布图。结果表明,此方法较好地反映了延河流域土壤的相对干旱状况,是一种比较有效和充分考虑地形因子影响的监测土壤水分的方法。

Landsat Thematic Mapper image and DEM data are used to retrieve Normalized Difference Vegetation Index（NDVI） and Land Surface Temperature（LST） of Yanhe River Basin.And air temperature is corrected by terrain factors,such as elevation,slope,aspect and terrain shadings,which reveals temperature diversity with terrain in detail.A spatial model designed with ERDAS software can be used to retrieve Temperature Vegetation Dryness Index（TVDI）.And TVDI is a method of monitoring soil moisture based on terrain factors,which is proved to reflect soil moisture status efficiently.