Soil erosion is one of server global environmental problems, soil erosion survey is the scientific basis for soil and water conservation. In order to improve the methods applied in soil erosion sampling survey, and to calculate soil erosion rates accurately and rapidly, the interpretation methods for land use and soil conservation measures were studied based on the high spatial resolution remote sensing images. The sampling design was developed using a stratified variable probability systematic sampling method in which spatiotemporal characteristics of soil erosion and conservation were derived based on the GISci, virtual global tool, and finer resolution images accessible in Google Earth. Land use and soil conservation measures in the sampling units were interpreted from the open access, high-resolution remote sensing images using visual interpretation. More than 20 thousand sampling units were interpreted, then the information on the land use and soil conservation measures was extracted; the soil erosion rate was calculated using CSLE for some of the units, and the accuracy and applicability of the interpretation results were analyzed. The results showed that this sampling survey method could be used for the soil erosion survey in the very large region. The information about land use and soil conservation measures could be interpreted based on open access, fine resolution remote sensing images, and the stratified variable probability systematic sampling method.