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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 Terreno com resolução espacial de 40 metros por pixel, gerado através de correlação esteroscópica de fotografias aéreas com objetivo exclusivo de geração de Ortofotos.</stepDesc>
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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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