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<resTitle>Map</resTitle>
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<idAbs>O mapeamento da cobertura da terra do Distrito Federal tem o objetivo de estruturar uma base de dados anual a partir do ano de 1984 em escala regional (1:100.000) por meio de dados orbitais multitemporais, a fim de contribuir com políticas de ordenamento territorial.</idAbs>
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<keyword>Análise multitemporal</keyword>
<keyword> Brazil</keyword>
<keyword> Sensoriamento remoto</keyword>
<keyword> Cobertura da terra</keyword>
<keyword> Distrito Federal</keyword>
</searchKeys>
<idPurp>Auxiliar nas tomadas de decisão acerca da gestão dos recursos naturais e ordenamento territorial</idPurp>
<idCredit>CODEPLAN</idCredit>
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