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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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<prcStep>
<stepDesc>Aquisição vetorial a partir da ortoimagem</stepDesc>
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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>2018-10-10</stepDateTm>
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<prcStep>
<stepDesc>Reambulação</stepDesc>
<stepDateTm>2018-11-13</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>2020-08-12</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>2020-08-12</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>2020-08-12</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Curvas de Nível geradas com equidistância de 10 metros a partir do MDT.</stepDesc>
<stepDateTm>2020-08-12</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Pontos Cotados obtido a partir do Modelo Digital do Terreno.</stepDesc>
<stepDateTm>2020-08-12</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Validação</stepDesc>
<stepDateTm>2020-08-12</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
<stepDateTm>2020-11-25</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Edição</stepDesc>
<stepDateTm>2020-12-02</stepDateTm>
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<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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