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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;P STYLE="text-align:Justify;margin:0 0 0 0;"&gt;&lt;SPAN&gt;Base cartográfica digital da Região Funcional 1 com geoinformações atualizadas, compatível à escala de 1:25.000, com Padrão de Exatidão Cartográfica (PEC) Classe A, a partir de ortoimagens digitais com resolução espacial de 35cm, datadas de 2019, contemplando classes das seguintes categorias de informação: Agricultura, Biota, Limites, Ciências Atmosféricas, Economia, Elevação, Ambiente, Geocientífico, Saúde, Imagens e Mapas Base, Exército &amp;amp; Inteligência, Águas Interiores, Local, Planejamento e Cadastro, Sociedade, Estrutura, Transporte, Utilitários e Comunicação. Foram geradas 174 cartas topográficas, 174 conjunto de dados geoespaciais vetoriais (CDGV) e uma base contínua vetorial, atendendo às seguintes normas técnicas da Infraestrutura Nacional de Dados Espaciais (INDE): Especificação Técnica para Estruturação de Dados Geoespaciais Vetoriais (ET-EDGV), Especificação Técnica para Aquisição de Dados Geoespaciais Vetoriais (ET-ADGV), Especificação Técnica para Produtos de Conjuntos de Dados Geoespaciais (ET-PCDG) e Especificação Técnica para Controle de Qualidade de Dados Geoespaciais (ET-CQDG).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
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<suppInfo>A definição deste tipo de produto encontra-se na Especificação Técnica para Produtos de Conjuntos de Dados Geoespaciais (ET-PCDG). A PCDG pode ser obtida no Geoportal do Exército Brasileiro (http://www.geoportal.eb.mil.br).</suppInfo>
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</Data>
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