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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>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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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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<stepSrc>
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<stepSrc>
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</prcStep>
<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>
<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
<srcCitatn>
<resTitle>HV-1011</resTitle>
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<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
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<resTitle>HV-44</resTitle>
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<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
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<resTitle>HV-55</resTitle>
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</prcStep>
<prcStep>
<stepDesc>Aerotriangulação gerada para o lote 3A utilizando as imagens aerofotogramétricas e pontos de apoio citados anteriormente.</stepDesc>
<stepDateTm>2018-06-04</stepDateTm>
</prcStep>
<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>
</prcStep>
<prcStep>
<stepDesc>Reambulação</stepDesc>
<stepDateTm>2018-10-24</stepDateTm>
</prcStep>
<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>
</prcStep>
<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>
</prcStep>
<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>
</prcStep>
<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>
</prcStep>
<prcStep>
<stepDesc>Validação</stepDesc>
<stepDateTm>2020-10-08</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
<stepDateTm>2020-11-06</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Edição</stepDesc>
<stepDateTm>2020-11-13</stepDateTm>
</prcStep>
<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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