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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;P STYLE="margin:0 0 1333 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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<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>2018-03-02</stepDateTm>
<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
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<resTitle>PV-1080</resTitle>
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</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>2018-03-20</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Aerotriangulação gerada para o lote 01 utilizando as imagens aerofogrametricas e pontos de apoio citados anteriormente.</stepDesc>
<stepDateTm>2018-03-26</stepDateTm>
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<prcStep>
<stepDesc>Aquisição vetorial a partir da ortoimagem</stepDesc>
<stepDateTm>2018-07-16</stepDateTm>
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<prcStep>
<stepDesc>Reambulação</stepDesc>
<stepDateTm>2018-08-17</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>ORTOIMAGEM com resolução espacial de 35cm, nas bandas R,G,B e IR, 8 bits.</stepDesc>
<stepDateTm>2019-08-06</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>2020-02-03</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>2020-02-03</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>2020-02-03</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>
<stepDateTm>2020-02-03</stepDateTm>
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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>
<stepDateTm>2020-07-31</stepDateTm>
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</Data>
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