Abstract
Information on the spatial distribution of land-use and land-suitability categories and the pattern of their changes is a prerequisite for land-resources management—particularly for agricultural and land-use planning. It is well established that remote sensing and Geographic Information System (GIS) have the potential to make the most significant contribution for land-use mapping and land-suitability analysis. The study was conducted as a pilot project to demonstrate the utility of these tools for land-use and agricultural planning.In this paper, SPOT imagery and aerial photographs were used to analyze the utilization of land through a tree structural classification, which consists of subdividing the classification into levels of analysis, proceeding from the lower level to the next higher one. Then climatic, topographic, soil, and land-use data were georeferenced to the same coordinate system and combined together to create land-suitability maps.
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