结合参量统计与时空融合的土壤水分降尺度方法

土壤水分的降尺度研究为解决被动微波产品的粗分辨率问题,更好地服务于流域小尺度应用提供了技术手段.以美国俄克拉荷马州为研究区域,基于SMAP土壤水分产品和MODIS产品等多种辅助数据,在地表分类数据的支持下,结合参量统计降尺度和时空融合降尺度发展了一种土壤水分混合降尺度方法,并利用SMAP 9 km产品和站点实测数据对降...

Soil Moisture Downscaling Method Combining Parameter Statistics and Spatio-temporal Fusion

Research on downscaling Soil Moisture （SM） provides a technical means to solve the coarse resolution problem of passive microwave SM products and to better serve small-scale regional applications. On the basis of SMAP SM products and multiple remote sensing auxiliary data including the MODIS product and so on， supported by the land use data， a hybrid downscaling method was developed by combining the parameter statistics and spatio-temporal fusion downscaling method. And taking Oklahoma， USA as the study area， the downscaled results were evaluated using SMAP 9 km products and in-site data. The results show that： the hybrid downscaling method could obtain downscaled results with rich details and complete spatial coverage. Compared with the two single downscaling method based on parameter statistics or spatio-temporal fusion， the spatial distribution of the hybrid downscaled result was the most similar to the real SMAP 9 km product， and it has the highest temporal accuracy against site data whether on the whole or under different land use. Therefore， the proposed hybrid downscaling method combining parameter statistics and spatio-temporal fusion was feasible.