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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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</geoEle>
</srcExt>
</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
<resTitle>01_20_0525</resTitle>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<stepSrc>
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</stepSrc>
<stepSrc>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<stepSrc>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<stepSrc>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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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>
<srcDesc>Fotografia Aerea</srcDesc>
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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>2018-02-26</stepDateTm>
<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
<srcCitatn>
<resTitle>PV-1029</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>
</prcStep>
<prcStep>
<stepDesc>Aquisição vetorial a partir da ortoimagem</stepDesc>
<stepDateTm>2018-07-16</stepDateTm>
</prcStep>
<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>2019-03-21</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>
</prcStep>
<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>
<stepDateTm>2020-07-24</stepDateTm>
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<prcStep>
<stepDesc>Edição</stepDesc>
<stepDateTm>2020-07-31</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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