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O estudo da erosao, por meio de ferramentas de geoprocessamento ja e uma realidade, uma vez que minimiza o tempo necessario para se obterem dados para modelagem e tomada de decisao que ajudem na conservacao dos solos e preservacao ambiental. Contudo, a qualidade dos dados, bem como suas diversas caracteristicas, como por exemplo as diversas resolucoes de dados topograficos, devem ser observadas para que se encontrem valores de perda de solo que se aproximem ao maximo da realidade. O presente trabalho teve por objetivo avaliar a utilizacao de quatro fontes de dados altimetricos para se estimar a perda de solo em Sistemas de Informacoes Geograficas. As fontes de altimetria foram: carta planialtimetrica 1:10.000, carta planialtimetrica 1:50.000, modelo numerico de terreno Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER GDEM), modelo numerico de terreno Shuttle Radar Topography Mission (SRTM), sendo o primeiro e segundo tomados como referencia por representarem a superficie mais detalhadamente. Para tanto usou-se a Equacao Universal da Perda de Solo Revisada programada no SIG/SPRING pela da Linguagem Espacial para Geoprocessamento Algebrico (LEGAL). Pode ser verificado que, dependendo do dado altimetrico utilizado, os valores estimados de perda de solo foram discrepantes em relacao a referencia, mostrando que, quando se utilizam sistemas SIG para previsao de erosao, deve-se indicar em qual escala se encontrou tal estimativa. Abstract The study of erosion through geoprocessing tools is already a reality, since it minimizes the time required to obtain data for modeling and decision-making in order to help soil conservation and environmental preservation. However, the quality of data as well as its various features, such as the various resolutions of topographic data, must be observed to find soil loss values that are accurate to reality. This study aimed to evaluate the use of four sources of elevation data to estimate soil loss in Geographic Information Systems (GIS). Sources of altimetry were: letter planialtimetric1: 10.000, planialtimetric letter 1: 50.000, numerical terrain model Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER GDEM), Shuttle Radar Topography Mission (SRTM) terrain model number, the first and second taken as reference for representing the surface more precisely. Therefore, it was used the Revised Universal Soil Loss Equation (RUSLE) programmed in GIS/SPRING through GIS Spatial Language for Algebraic Geoprocessing. The results demonstrated that depending on the altimetry data used, the estimated values of soil loss can be discrepant regarding the reference data, showing that when using GIS systems for erosion prediction one should indicate at which scale such estimate was found.

Estimates of soil loss in a GIS environment using different sources of topographic data