ABSTRACT
The aims of this work was to determine risk areas with pesticide contamination on the Estiva stream watershed, a tributary of Uruçuí-Preto river, Brazil. Environmental data was used to determine layers of water way, infiltration and runoff with the transport of pesticide. The overlay of this information has generated a map with the risk areas with pesticide contamination. The basin had high human disturbance, with an increase of about 55% of land use and occupation by agricultural crops, in a period of approximately 27 years (1984-2011). An area of 269 Km2, correspondent to 11% of the basin area, has a high potential pesticide contamination risk, 45% medium contamination risk and 44% have little contamination risk.
Keywords:
remote sensing; defloration; algebra maps; watershed management