A Digital soil database (asis.rda.go.kr) based on paper soil maps obtained in Korea over a greater than 30-year period and at different scales – 1:250,000, 1:25,000, and 1:5,000 – was established to provide valuable soil information over the whole country for feature extraction and for various land surface models. Soil attributes shown graphically in the digital maps are soil texture, gravel content, drainage, available soil depth, slope, topography, parent material, land use at the time of soil survey, soil suitability group for paddy, upland, and orchard, soil classification regimes, and the like. Each soil property can be provided in map form, showing its spatial distribution with statistics such as sum and average of the attributes. Remote sensing (RS)- and geographic information system (GIS)-based information management to measure and assess agri-environment schemes, and to quantify and map environment indicators for nature and land use, climate change, air, water and energy balance, waste and material flow is in high demand because it is very helpful in assisting decision making activities of farmers, government, researchers, and consumers. The versatility and ability of RS and GIS containing the digital soil database to assess the agricultural environment spatially and temporally at various spatial scales were investigated. Spectral and microwave observations were carried out to characterize crop variables and soil properties. Multiple sources of RS data from ground sensors, airborne sensors, and satellite sensors were collected and analyzed to extract features and land cover/use for soils, crops, and vegetation for support of precision agriculture, soil/land suitability, soil property estimation, crop growth estimation, runoff potential estimation, and the estimation of flooded areas in paddy rice fields. RS and GIS play essential roles in a management and monitoring information system. Biosphere-atmosphere interactions should also be further studied to improve synergistic modeling for environment and sustainability in agri-environment schemes.