American Journal of Agricultural Economics · 1997 · 368 citations · 3 references
Natural ResourcesForestryGeographyLand EconomicsRemote SensingSpatial AnalysisDeforestationLand UseLand Use Change DetectionLand-use ChangeLand-use EconomicsRemote Sensing Change DetectionEconometric IdentificationLand Change DetectionLand Use AnalysisLand Use Change MappingLand Use DataLand Use Impact PredictionLand Use ModelingSpatial Land-use Modeling
Abstract In this paper we demonstrate how satellite images and other geographic data can be used to predict land use. A cross‐section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that proxy human influence are changed to reflect reduced impact, “forest” area increases and “irrigated crop” area is reduced.
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