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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>2018-04-18</stepDateTm>
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<stepDesc>Aerotriangulação gerada para o lote 02 utilizando as imagens aerofogrametricas e pontos de apoio citados anteriormente.</stepDesc>
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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>
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<stepDesc>Reambulação</stepDesc>
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<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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<stepDesc>Validação</stepDesc>
<stepDateTm>2021-06-25</stepDateTm>
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<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
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</Data>
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