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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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<idPurp>Base cartográfica digital da Região Funcional 1 (RF1), na escala de 1:25.000, com Padrão de Exatidão Cartográfica (PEC) Classe A, elaborada a partir de...</idPurp>
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<stepDesc>Modelo Digital de Superfície com resolução espacial de 2,5 metros por pixel, gerado através de correlação esteroscópica de fotografias aéreas.</stepDesc>
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</Data>
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