The Ariquemes County, at Rondônia State is a great coffee producer with 33,097 hectare, according by IBGE (2009). This region is a second most representative from East of State. This culture was introduced at the early 1970´s decade. For now, coffee represents the most important agriculture product.Satellite images with geoprocessing support and low cost of operation show faster results with reasonable precision and accuracy. The present work has intend to show the coffee crop mask made to Ariquemes county on Rondonia State in North Region of Brazil. This crop mapping was consisted in recognizing coffee areas through the visual interpretation on Landsat-5/TM images using ArcGIS and Google Earth softwares and georreferenced points with coffee producers. The result using visual image interpretation with medium and high resolution images available at Google Earth and Landsat TM images, plus georreferenced points provides a coffee heterogenic comprehension of crop spectral properties. Besides, other factors has to task difficult as relief variation, crop age, similar spectral answer to other crops, as intercropping areas. The coffee crop presented a very complex spectral response by the existence of different crop systems, operations and, mainly, intercropping. The use of geoprocessing techniques was considered feasible for mapping the coffee region of Ariquemes county Rondônia State, where has been recorded an extension of 22,384.70 hectare of coffee crop.Pages: 4170- 41
