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<idAbs>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).</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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<stepDesc>Pontos Cotados obtido a partir do Modelo Digital do Terreno.</stepDesc>
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</Data>
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