以AMSR-2亮温数据,SPOT归一化植被指数为数据源,采用ω-模型和基于Qp模型的双通道反演算法,建立适用于蒙古高原表层土壤水分的反演模型。将该模型应用于2013年蒙古高原植物生长期(4—10月)表层土壤水分反演,同时分析其时空变化特征。结果表明:土壤水分反演值与实测值的Pearson相关系数为0.825,均方根误差达到了0.031 6 cm^3·cm^-3,反演模型具有较高精度;蒙古高原表层土壤水分平均介于0.047~0.234 cm^3·cm^-3,土壤水分总的空间分布格局表现出由北向南,由东北向西南逐渐减少趋势;在蒙古国北部以及内蒙古大兴安岭森林-森林草原区,土壤水分与整个研究区相比差异较大,同时在时间序列上该区域土壤水分波动较为显著。
Soil moisture content is an important parameter of hydrological system. An inversion model of soil moisture content in the Mongolia Plateau was developed by using the ω- and Qp models based on AMSR- 2 bright temperature data and SPOT Normalized Difference Vegetation Index data. The values of topsoil moisture content during the period from April to October 2013 were retrieved to study the spatiotemporal variation of topsoil moisture content. The results showed that the Pearson Correlation Coefficient between the retrieved and measured values of soil moisture content was 0. 825,root-mean square error was 0. 031 6 cm3·cm- 3,and the retrieval results were very good. The average values of topsoil moisture content varied in a range of 0. 047- 0. 234 cm3·cm- 3,and spatially the soil moisture content was gradually decreased from north to south and from northeast to southwest. Spatiotemporally,the soil moisture content in the forest-sylvosteppe areas in north Mongolia and the Greater Khingan Mountains of Inner Mongolia fluctuated markedly.