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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>2018-03-23</stepDateTm>
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<prcStep>
<stepDesc>Aquisição vetorial a partir da ortoimagem</stepDesc>
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<prcStep>
<stepDesc>ORTOIMAGEM com resolução espacial de 35cm, nas bandas R,G,B e IR, 8 bits.</stepDesc>
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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>2020-02-03</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>2020-02-03</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>2020-02-03</stepDateTm>
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<prcStep>
<stepDesc>Curvas de Nível geradas com equidistância de 10 metros a partir do MDT.</stepDesc>
<stepDateTm>2020-02-03</stepDateTm>
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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>2020-06-26</stepDateTm>
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<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
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<prcStep>
<stepDesc>Edição</stepDesc>
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</Data>
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