Remote sensing are widely used in the field of agriculture, forests, urbanism, transport and other fields for better performance and results. The aim of this paper is to show small part possibility of using remote sensing in the area of agriculture. Main part of this research is to show the process of classification and mapping of agriculture crops using satellite images from Rapideye satellite platform. These satellite images were used for the classification of three basic crops: corn, beet and soybean. Satellite images and basic concepts and techniques of classification are presented in order to emphasize benefits of classification of satellite imagery for presented classification methods.

Remote sensing, GIS, Agriculture, Classification, Rapideye

Presentation: oral