Technical Abstract: Maine consistently ranks in the top ten potato (Solanum tuberosum L.) production areas though yields are substantially lower than the mid- and western USA. Geospatial frameworks help resolve patterns and trends in production environments (at multiple scales) that may enable improvements in adaptive management strategies which enhance yield, increase whole-farm profitability, and foster sustainable land use. Results from geospatial integration of remotely-sensed cropland (2008-2010) and soil datasets for Maine indicate an estimated 61,900 ha in potato production with 62% and 27% on prime farmland (PF) and farmland of statewide importance (FSI), respectively. Geospatial analyses of other agri-environmental indicators indicate close to 85% of these potato production soils are classified as either “potentially highly erodible” (PHEL) or “highly erodible” (HEL); therefore, at least 52,300 ha require the highest standards in soil conservation practices. Crop rotation patterns for potato, derived from the time-series geo-referenced datasets, help resolve actual cropping practices and facilitated evaluation of the benefits and economic impacts for select alternate crops.