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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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<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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