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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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<prcStep>
<stepDesc>Coleta de Pontos de Apoio de campo realizada com o objetivo de orientar as imagens aéreas na etapa de aerotriangulação. Para realização desta etapa foram rastreados pontos de apoio suplementar, com tempo de ocupação mínima de 30 minutos e foram utilizadas como base as estações da RBMC.</stepDesc>
<stepDateTm>2018-04-11</stepDateTm>
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<prcStep>
<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>
<stepDateTm>2018-11-06</stepDateTm>
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<prcStep>
<stepDesc>Aquisição vetorial a partir da ortoimagem</stepDesc>
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<stepDesc>Reambulação</stepDesc>
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<prcStep>
<stepDesc>ORTOIMAGEM com resolução espacial de 35cm, nas bandas R,G,B e IR, 8 bits.</stepDesc>
<stepDateTm>2019-08-02</stepDateTm>
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<prcStep>
<stepDesc>Modelo Digital de Superfície com resolução espacial de 2,5 metros por pixel, gerado através de correlação esteroscópica de fotografias aéreas.</stepDesc>
<stepDateTm>2020-10-22</stepDateTm>
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<prcStep>
<stepDesc>Restituição da Hidrografia realizada a partir de processos de restituição estereofotogrametrica na escala 1:25000, obtida seguindo as especificações técnicas da ET-ADGV e estruturada seguindo as especificações técnicas da ET-EDGV.</stepDesc>
<stepDateTm>2020-10-22</stepDateTm>
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<prcStep>
<stepDesc>Modelo Digital de Terreno com resolução espacial de 2,5 metros por pixel, gerado através de correlação esteroscópica de fotografias aéreas e processos de filtragem. Para melhor modelagem do MDT foram utilizadas as breaklines da hidrografia como injunção nos modelos.</stepDesc>
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<prcStep>
<stepDesc>Curvas de Nível geradas com equidistância de 10 metros a partir do MDT.</stepDesc>
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<prcStep>
<stepDesc>Pontos Cotados obtido a partir do Modelo Digital do Terreno.</stepDesc>
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<prcStep>
<stepDesc>Validação</stepDesc>
<stepDateTm>2021-06-25</stepDateTm>
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<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
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<prcStep>
<stepDesc>Edição</stepDesc>
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<valUnit>
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</Data>
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