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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。
Based on the AMSR-2 brightness temperature data and the SPOT normalized vegetation index, the inversion model of the surface soil moisture in the Mongolian Plateau was established by using ω-model and dual-channel inversion algorithm based on Qp model. The model was applied to the retrieval of surface soil moisture in the plant growth stage (April - October) of the Mongolian Plateau in 2013, and its temporal and spatial variation characteristics were also analyzed. The results showed that the Pearson correlation coefficient between the soil moisture inversion value and the measured value was 0.825 and the root mean square error was 0.031 6 cm ~ 3 · cm -3. The inversion model was more accurate. The surface soil moisture The average spatial distribution ranged from 0.047 to 0.234 cm ~ 3 · cm ~ (-3), and the total spatial distribution of soil moisture showed a trend of decreasing from north to south and from northeast to southwest. In the northern part of Mongolia and in the forest-grassland area of Daxinganling, Inner Mongolia, , The soil water content is quite different from the whole study area, and the soil moisture fluctuation in this area is more obvious in time series.