It helps in identifying change between two or more dates that is uncharacterized of normal variation.
Digital change detection is the process that helps in determining the changes associated with land use and land cover properties with reference to geo-registered multitemporal remote sensing data. Change detection is the measure of the distinct data framework and thematic change information that can guide to more tangible insights into underlying process involving land cover and land use changes than the information obtained from continuous change. Current stable release includes, among other features, a 2D/3D vectorial engine, SQL based database systems and a rich variety of raster and vector graphic formats, allowing applications in the areas such as geospatial data management and analysis, image processing, graphics/maps production, spatial modeling and visualization, both in academic and commercial fields as well as by many governmental agencies and environmental consulting companies. Support for environmental applications has been an integral part of its 20+ years of development. GRASS has evolved into one of the most comprehensive, general purpose open source geoinformation systems since its original design as a land management software tool for military installations. In the early nineties its licenses switched to GPL and by 1998 a GNU/Linux release was freely available. GRASS GIS was developed by the United States Army Construction Research Engineering Laboratories (USA CERL) as a tool for military land management and environmental planning. Among the Geographic Information System (GIS) software, in the last years Geographic Resource Analysis Support System (GRASS) GIS has known wide popularity as it is well documented. The world of GIS is always in development, and this fact is particularly true for Open Source GIS.
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