The objective of the present work was to evaluate and characterize the land degradation in western and northern regions of Campina Grande, PB. Data were obtained through digital image processing, followed by visual interpretation of the digitally processed image and final field checking. The Gaussian Maximum Likelihood Classifier was used in digital analysis. The results of the classification showed to be satisfactory, allowing to map the main degraded areas of the studied region.
image orbital; digital processing; supervised classification
