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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_13_1695</resTitle>
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</geoEle>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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</srcExt>
</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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</srcExt>
</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>01_13_1699</resTitle>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>01_13_1700</resTitle>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>01_13_1702</resTitle>
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</srcExt>
</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
<resTitle>01_13_1703</resTitle>
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<geoEle>
<GeoBndBox>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<resTitle>01_13_1704</resTitle>
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</geoEle>
</srcExt>
</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
<resTitle>01_13_1705</resTitle>
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<geoEle>
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</geoEle>
</srcExt>
</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
<resTitle>01_13_1706</resTitle>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
<resTitle>01_13_1707</resTitle>
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</stepSrc>
<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
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<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>
<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>01_14_1767</resTitle>
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<stepSrc>
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<stepSrc>
<srcDesc>Fotografia Aerea</srcDesc>
<srcCitatn>
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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>2018-03-01</stepDateTm>
<stepSrc>
<srcDesc>Ponto de Apoio</srcDesc>
<srcCitatn>
<resTitle>PV-1025</resTitle>
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<GeoBndBox>
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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>
</prcStep>
<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
<stepDateTm>2020-07-24</stepDateTm>
</prcStep>
<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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