Remotely sensed soil moisture measurements from satellite platforms are increasingly reliable, cost-effective and widely available data sources where in situ measurements are unavailable. This research uses the Soil Moisture and Ocean Salinity mission (SMOS) satellite-derived soil moisture anomalies over a database of 65 watersheds across Canada from 2011 to 2014 to analyze the soil moisture-runoff relationship. A spatial analysis of the variability and influences on the strength of this relationship revealed that 32% of catchments showed significant (1 tailed, p < 0.05) correlations between the weekly antecedent soil moisture state of the catchment and the weekly runoff ratio. Regions of strongest correlation were related to the topographic variables of slope and elevation. These results support the use of coarse-scale satellite remote sensing as a valuable data source in hydrological studies, but recommend caution when applying the data to regions where the accuracy of satellite soil moisture data sets is less certain (such as wetlands and areas with high topography) or areas where the runoff generation mechanisms are complex (frozen soils, wetlands or prairie environments).

在没有现场测量的情况下，从卫星平台进行的遥感土壤湿度测量越来越可靠，具有成本效益并且可广泛获得。这项研究使用了土壤水分和海洋盐分任务（SMOS）卫星衍生的土壤水分异常，该数据来自2011年至2014年加拿大65个集水区的数据库，以分析土壤水分与径流的关系。对这种关系的可变性及其影响进行空间分析后发现，有32％的流域表现出显着性（1尾，p <0.05）流域每周以前的土壤水分状态与每周径流比之间的相关性。相关性最强的区域与坡度和海拔的地形变量有关。这些结果支持使用粗卫星遥感作为水文研究中有价值的数据源，但是在将数据应用于卫星土壤水分数据集的准确性不太确定的区域（例如湿地和​​高湿度地区）时，建议谨慎使用地形）或径流产生机制复杂的区域（冻土，湿地或草原环境）。