AGRICULTURAL CROP CHANGE DETECTION BY MEANS OF HYBRID CLASSIFICATION AND HIGH RESOLUTION IMAGES

Eva Malinverni, Michele Rinaldi, Sergio Ruggieri
unpublished
The most widespread application of remote sensing technology is regarding Land Use/Land Cover (LULC) automatic map production to optimize land monitoring and management. These tasks represent new challenges. The improved performances of automatic classification approaches become a fast and accurate tool for a reliable GIS decision support system. The main aims of this work were i) to test the ability of using multispectral variability and high spatial information from different remote sensing
more » ... ages to recognize land use changes by means of a new hybrid classification method and ii) to quantify and evaluate the temporal variation of main crop rotations.
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