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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>2018-04-19</stepDateTm>
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<srcDesc>Ponto de Apoio</srcDesc>
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<stepSrc>
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<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
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<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
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<prcStep>
<stepDesc>Aerotriangulação gerada para o lote 3A utilizando as imagens aerofotogramétricas e pontos de apoio citados anteriormente.</stepDesc>
<stepDateTm>2018-06-04</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>2018-07-30</stepDateTm>
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<prcStep>
<stepDesc>Aquisição vetorial a partir da ortoimagem</stepDesc>
<stepDateTm>2018-09-07</stepDateTm>
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<prcStep>
<stepDesc>Reambulação</stepDesc>
<stepDateTm>2018-10-24</stepDateTm>
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<prcStep>
<stepDesc>ORTOIMAGEM com resolução espacial de 35cm, nas bandas R,G,B e IR, 8 bits.</stepDesc>
<stepDateTm>2019-03-22</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>2020-06-19</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>2020-06-19</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>2020-06-19</stepDateTm>
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<prcStep>
<stepDesc>Curvas de Nível geradas com equidistância de 10 metros a partir do MDT.</stepDesc>
<stepDateTm>2020-06-19</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Pontos Cotados obtido a partir do Modelo Digital do Terreno.</stepDesc>
<stepDateTm>2020-06-19</stepDateTm>
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<prcStep>
<stepDesc>Validação</stepDesc>
<stepDateTm>2020-10-08</stepDateTm>
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<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
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<prcStep>
<stepDesc>Edição</stepDesc>
<stepDateTm>2020-11-13</stepDateTm>
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<statement>Aquisição vetorial na escala 1:25.000, a partir da ortoimagem com resolução espacial de 35 cm, nas bandas R,G, B e IR, 8 bits seguindo as especificações de aquisição e estruturação contidas nas normas ET-ADGV e ET-EDGV.</statement>
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</Data>
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