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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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