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This paper presents LANDFORM, a customized GIS application for semi-automated classification of landform elements, based on topographic attributes like curvature or elevation percentile.
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The model relies on geographic information systems (GIS), artificial neural network (ANN) routines, remote sensing, and customized geospatial tools and can be used to help understand what factors are most important to land-use change.
As one of the earliest GIS systems, GRASS has currently survived mainly as free, open-source desktop GIS software, with users primarily limited to the research community or among programmers who use it to create customized functions.
He totally customized it.
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