LAND USE AND VEGETAL COVER IN THE AREA INFLUENCE OF AHE CAPIM BRANCO I

The present work has as objective to identify, to delimit, to map and to evaluate the different categories of land use and vegetal cover gifts in the area of influence of hidroeletric exploitation (AHE) Capim Branco I, using techniques of remote remote sensing and geoprocessing. This enterprise best situated enters geographic coordinates of 18º 43' - 18º 59' of south latitude and 47º 57' - 48º 13' of longitude west of the meridian of Greenwich. The total area of mapping understands 455,20 km², enclosing part of the cities of Uberlândia, Araguari and Indianópolis. The work was developed by means of the following stages: acquisition of the images CCD/CBERS, processing of the same ones by means of the SPRING, for the rectification, distinction, colored composition, elaboration of the letter image and visual interpretation in “screen”. The cartographic base was elaborated from topographical maps scales 1:25.000 and converted for the digital way with the CARTALINX. The presentation of the final map was made with the ARCVIEW. The categories of Land Use and Vegetal Cover, gifts in the study area and that they had been survey are: mata/ cerradão, open pasture, closed field, vegetation in regeneration, pasture, annual culture, perennial culture, hortifruticulturas, bodies d ‘ water, reforestation, urban areas and of mixing use, seedbed of workmanships and deforested area. From the mapping, it was verified that the pasture was the category of bigger areal expression, occupying 48.7% of the area, followed of forest, with 19,2%, annual culture with 17,9%, vegetation in regeneration with 3,4% and perennial culture with 3,3%. The too much uses appear with well lesser percentages, being able itself still to detach, urban areas and of mixing use with 2,4% and vegetables with 2,0%. To conclude, we can verify, that the adopted procedures, as well as the used materials, especially images CCD/CBERS, had revealed satisfactory for the development of the work.

Keywords:
land use; vegetal cover; remote sensing