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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>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_086_1075</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_086_1077</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<srcDesc>Fotografia Aerea</srcDesc>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1363</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1364</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1365</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
<resTitle>03_082_1366</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1367</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1368</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1369</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1370</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1371</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1373</resTitle>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>03_082_1375</resTitle>
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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-58</resTitle>
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</stepSrc>
<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
<srcCitatn>
<resTitle>PV-1019</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>
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<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>
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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>
<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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