The human has the ability to quickly delineate gross differences in land classes, such as wildland, urban and agriculture on appropriate ERTS images, and to further break these gross classes into meaningful subclasses. I; agricultural areas, the subclasses can be delineated on the basis of general tone and texture differences that relate to crop type and field size. In the wildland areas, delineations can also be made, based on tone and texture, which represent general vegetation systems, such as grasslands, brush, trees, and barren areas. The computer, however, can more efficiently analyze point-by-point spectral information and localized textural information which can result in a much more detailed agricultural or wildland classification based on species composition and/or plant association. These complementary capabilities are combined to provide the "minimum cost" processing of Remote Sensing data for resource inventory.
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