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A soil map is a geographical representation showing diversity of soil types or soil properties (soil pH, textures, organic matter, depths of horizons etc.) in the area of interest. [1] It is typically the result of a soil survey inventory, i.e. soil survey .
Image:Blank US Map with borders.svg, a blank states maps with borders. Image:BlankMap-USA.png, a map with no borders and states separated by transparency. Image:US map - geographic.png, a geographical map. On Wikimedia Commons, a free online media resource: commons:Category:Maps of the United States, the category for all maps with subcategories.
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.
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