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This work aimed at applying remote sensing techniques in the detection of pasture degradation processes in three basins at the municipality of Guararapes, Sao Paulo, Brazil. A Landsat 5 - TM satellite image of the study area from February 2nd, 2010 was used, along with georeferenced data on pasture conditions collected between January 26th and 29th, 2012. The results show variation in leaf area index (LAI) as a function of the pasture condition and the L parameter used in the SAVI equation. The methodology used for the assessment of pasture vegetation cover and to obtain the grassland degradation index (GDI) produced satisfactory results for the differentiation of three degradation levels. Based on the GDI, the pastures at the basin were classifi ed as lightly degraded. Nevertheless, future studies are necessary to obtain a GDI temporal series to be used for the detection of positive or negative tendencies in the pasture degradation process.

USO DE TÉCNICAS DE SENSORIAMENTO REMOTO NA DETECÇÃO DE PROCESSOS DE DEGRADAÇÃO DE PASTAGENS