Machine Processing of Remotely Sensed Data: Three Applications in Mexico

In general, ground-data acquisition procedures in developing countries are not very efficient, and the resulting lack of reliable data produces significant delays in important management-planning decisions. This paper describes three studies involving different applications of machine processing of remotely sensed data, a recent technology that appears to have potential use for timely ground-information acquisition. The general methodology describes the use of a special software processing system. Finally, some conclusions are presented relating to the specific problems discussed and to the advantages of remote sensing in general.