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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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<stepSrc>
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<stepSrc>
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<stepSrc>
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<stepSrc>
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<stepSrc>
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<stepSrc>
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<stepSrc>
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<stepSrc>
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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>2018-07-02</stepDateTm>
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<srcDesc>Ponto de Apoio</srcDesc>
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<stepSrc>
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<stepSrc>
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<prcStep>
<stepDesc>Aerotriangulação gerada para o lote 02 utilizando as imagens aerofogrametricas e pontos de apoio citados anteriormente.</stepDesc>
<stepDateTm>2018-08-21</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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<prcStep>
<stepDesc>Reambulação</stepDesc>
<stepDateTm>2019-05-24</stepDateTm>
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<prcStep>
<stepDesc>ORTOIMAGEM com resolução espacial de 35cm, nas bandas R,G,B e IR, 8 bits.</stepDesc>
<stepDateTm>2019-09-13</stepDateTm>
</prcStep>
<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>
<stepDateTm>2020-10-22</stepDateTm>
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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>
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<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
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<prcStep>
<stepDesc>Edição</stepDesc>
<stepDateTm>2021-07-12</stepDateTm>
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</Data>
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