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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>
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<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>2020-12-15</stepDateTm>
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<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>
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<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>2020-12-15</stepDateTm>
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<prcStep>
<stepDesc>Curvas de Nível geradas com equidistância de 10 metros a partir do MDT.</stepDesc>
<stepDateTm>2020-12-15</stepDateTm>
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<prcStep>
<stepDesc>Pontos Cotados obtido a partir do Modelo Digital do Terreno.</stepDesc>
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<prcStep>
<stepDesc>Validação</stepDesc>
<stepDateTm>2021-03-08</stepDateTm>
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<prcStep>
<stepDesc>Criacão da área contínua</stepDesc>
<stepDateTm>2021-04-19</stepDateTm>
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<prcStep>
<stepDesc>Edição</stepDesc>
<stepDateTm>2021-04-26</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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<ERROR>gmd:MD_FeatureCatalogueDescription</ERROR>
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<ERROR>gmd:MD_ImageDescription</ERROR>
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tWxVHUhst2m8wrjC8theSBzSlsKSurHCz3BispUuk80ALGIonB8rAxtUkDnIIJ564Bqost6qzieJN0hRHmYKGjz/AA5XjGcfTp0q3fWkV1rktthNrZdcsCGJUknPf/Cn2s6pcLFd7IFfDEhV/eMOCemOg6j1z9OLWTfY4G3KVia2eWxtCsZ8yNVwGiYEEDIxgDgHGOMgZ6nvDYxxfZ51FuHSWRjbTYIVAW6lsAYyQfoehA5WCytvtDTELEpHEnqMgsRxwcbSCR0IqaOe1lJt0jj4yyBsv82cAf7PHPB4+YnGedkklZmqaUR0zwQxt5s0QnlJVmzuVdvQk+vbnr7gU+KS5WyKSW770cgkgEyMe/PHGepPPPBIxTvPiuTvlkGUUJHCJVAORhgSe2D+n5xJ57+dNeSzEW6u7JGF44BO0Bc52sOh7gVUGmxw20J7OFUtuH2OzF5AXA37hwOOhx0xnOPer0wWO3ZoYpd0g3NhidoA5PHOSOPwHtUcMawpFE5bZGxIctxjIx078gdPpx0SS+mk1JlDRlF2+Uuc55O4keoyOO1aSfKgXKm+5DaNDb6DIIk8i4kIT5/4ZGwnqc4OPyFXII0hUQW8RFvGmRkYAGeg7YArBvrkvp90mx2mVkVTNz5m4j7rbeB6Z9G6Vqrcz3ES3Mcg8h1wYw+8McDHOO+cfh9aOfkem4qlOFSHKxPLmec3EEJhY/eYkHeO3A6jnnP4dc1WaVwwP2bdEAr7mU5Y/MOQcDIK9CSRkdOK0rZLoEed5XluxAWLOQcjue3X36UPax+crlCGb5NyDGOM5479eTyMe5zq3F6rcyw8ZxVp7dCtDfR58yVwyOCoLEqCvPOTwc/KO/161vaUzPa5Z+rEKO2O2O/T3rHby4y0qqN8ed2Bg4GDkj249MfjWlo6LNbJKu5ERjhMDBbkE9M/yqXsdcdzZrGmMqXz7jGI2b5c5yfw4/nWzXOX536oPMmtQUcYV+WA7AD1Pzc/hzSNSS7EoWUhtmFA3GB8DnPXdx3H+eUs7hTaIxlgMfQSfMQx9sn+pplzdiSzmiSSRyI9wCqu3r1z9QfypbKG3EJbfG7R9XWNW2gdOTnH/wCs0gNm0O63U8HIzkDAPuKKSyObVBuLADAOMflRTAZpp26PZsc4Fuh4Gf4RWd9umt57mWO2zHNPkNIsqHIVE5HlnjPQ9xz0BrS0v/kE2X/XBP8A0EVJKMAvsDBRuwc9R0xxQBljULp5fN/s1NwXCMfOBweoP7rjoKt29+HlEMsZSVugRXYAc8sSoxnBxnr2zWbpmvvqF4kPlBAwJ3Bs9vetW2TZqEwwoAgiUKvYAvUxmpq6IhOM1eJd9KzdajQ6ZO7jO1DwckdQemR6VpVj+InaHSpJkYh1ePaNxxnevaiWzHN2i2cbeX5uJY3C+WUTaN/P4Z7Dg4JH1PFLbXCyTR2kcjNC3ziMqWZHAJ5x97PUHviqWoW+Av2myEbFS29XaPgkEk4OG64zz0PPNSGN2topQ5gQ4McjHO4ccK3XPP556Vw3fM7HBzPmbWpfnZlcNcXbuJc7mWVgqsBnAwRkkZ9uMHsKtWm9JPNUO6FNkMZPztg8kZznt/3z17VnOblLNpWkiut65DKAzq2VPUA4xk9e+AMdRc0+4lWQzOfNmMQMbsMfITnBYn5iCPQd8VupX3NoyuyJbNViN0wTznfenO7rgdMcEAHnjGfwpbS8mhhWO5jgmCREnzHD7QxUDk89AcgZwcVHJNPe3v2pLiCDZgMvcj5jnJAJ49u3scTixt/3rNCUdQPmRwFJwMtuyfb/AA60+WX2UTtpEvi9i2/YdmJBJs3AMQo7HkcY4H9ecFJJreGBfMmXBUFnCk5Gefpk9/Y05JIwqQCF1deVLIML0Az0wee2eh698u6toLp/JZ7hHIOfIuGYbxg8g+ue3XB9at8zSRcrL3upJdXS3FzAkRyCy7UGHyuVY4x3GO4P3fc1fMMa+YyoIyTk4UbwM4x19uv5Y61nW2nm1urctxChM0jD5ic7sFiACRy2PTHTvWms8MT5UyEs3BDcknJ6n+HAzx0/npTvb3gcb2bBEa3K+RczSgFj5T7QD0G4HGe//wCvipJLlo4GZLZi43GREG7cTnI9h1PI5x361VVmmsoHjkUrMAEQqQWGMkBweOO/HI75FWUk2SRogVZHlCjyzkDKkZPPHc/0zVt9hK99SqiyNJI5Qzb337FQKvReeSM9Ppn3FdLpYItyxyCWJK9sk5J/WsIT7L427PIzDcVLEHaOMrjPbjn3PPatrSI9ls2cht3zKTnnAz16f4Yq5OPLpuZ0I1Patyd0alYsyRG/y8bbSScGQDcR3wSK2qxpoWuL5iLWB3hcMrSqRj3DbevA6Z/CsjvIbqGXd5rRv9m4IAkx6feO/kck9KlgUI0g+zMsZ+ffG+Afc/NilvX3me1klSRRDuaMpuJGe4wc/wCeKLdvLgmaOJYguQ2IimSOe4HHJ56UgNG2RY4sJGyDJOGOf6mikspGks4ncqSy5+Vtwx7HvRTAbpn/ACCrL/rgn/oIp9zOkETNIwRRjLN0GTiotMGdKsj6Qof/AB0VVuZNRa7aKB4Y4twUP5ZdhwCSecDv/k0ALZ2um2rpJbpGrPnaQOTx29uDWkqrvL7cMRgn1Azj+ZrGhTVw0wkvx8pwubYfMAOvB6k54rUtWmaHdM6MTyNkZTA9wSTmkklsJJLYsVjeJAw0W4kR1jddjBmBI4YHBwRwcYzkY61s1j+IoUk0iZmIAVkYlidoAcEkj2xQ9gexxroq2Lko2WIZmJAGScHI6bie3qCOTk1VgaVlhguZzIpjYoRyUwCeB2HGPToeuK0o2nfM9tOJ5F2tIoPyLlR/30ozng9/wDJ57dS93DOGlMWCIVLCRyd3XI6ZHXsPeuWcVujjtysrRS3GzyxKs24EKWkGCQOANx6DIX8c4q9FYXE5gnmC3cbo0cgyVIJPQ56jp2/DtR5USQgm5HlowxugBKvjJO4cN/B27ehotrySWdIokDNs37ZGCnkqCB24x8uRjjJ6A1MUr2bJVtItjxHDFcJDKzHYMmfaFMo6EHGCB09Oe+DzNDDDDuP2fCiJWUyMWGctuO856DHv69KRzJbXqgwBokV42H3g2dhI59NpGMYJ59VqzLDKlgk0E0jTyAptQhlxzkKM9e+fb6106JnQn0epSbZJc2TM0CSMOIo22/PtBxjKlhjPBHQjI6Z0YbULLHukbbHkkFAnG3aAOBjr+fpwKQxR6j+8LrFk7WQsCRtbcDkHjnaeOeAc85qlrFpJKIbAZaSVzuyQcoAdxOe3Krnrz69Lg76IlpL3uhDaC7QLe72cTyjdsIyU+bbyx4BJTgDqT7VqMPO+ea3EyxgkPwSM8cAnrx2znj6URIhnKyT27CPCLEV24JyAAc+3TB6dqkvIROqySySpEFO796yKoxknjHGO5P09KuVr2MqcpTh7R/cU5rUSIh3gRwyRxJFGWB6rkEA8gjAAPb1zip/Ojjvg9tE8kT5GEA4PA74PYjv1x3FQTf6EMWwWPYnmAOQmMc8k89+c/jirVuLiJP3PlurvuZSMKvY4z+uO+TjmpduhpHmdrqxAWkWSJpJUklZvkDHadoGePXnH6elbmlLHJAsyq4I6Bj0yB/n/APXWDcxT31+E8zZGmGB45BJwMjnnHfFb2jwGG1bdIZTvI38jcB07n86hSvLYdHmTaexq1SuLe08p3mtxIrZ3ARl85HoM1dqheSxB0hbUPssrE7drJubg9mB+v4emRVnSVvJgiPnR6bbi3CDawjYSZ9NgTIHT/Ciy0vS1HnwaekLk4bETJk8diBkfhSo7PLAItRmmjdGAlXyiCeOThevpjjk5FL5kdpcItxrMhZQAY5TEu488nCg5OD044oA00RI12ooUegGKKbG6SoJY3Do6gqynII7EUUAQ6X/yCrL/AK4J/wCgiobgot9EDO6O5+WMA4fg/h2/zxUmmn/iUWQHUwJjjP8ACKrb9RiYGaxiuXUEiaAhP/HWOQfxNAGHp2kz2t1PNNqGY0RxJskOU68jgDj/ADmups1C2yqJGlxxvf7x+vvWbZatHdX11axQRmeDAkCSA89wfpn/ADxnRtmnKt5lusQBIADA554PA9KiEVFWREIKCsizWTrkVtPp8sdzHvjXbIVYHaQrA49M8cVrVi61coNLvWeX7MIGVfOkVivO05wMZ64+tUypbHJqtw1yLZ45QJAE8oEErjHGCfXnPceo5qxNaRrtHlSTzRnczGXI7ZHPAJ49c0r3OILw21huRIwxbcCsg6AAZycDnt+vM0N0sBaWWGGIohKOyAFeOSc8LjHrzms4xilrqcnLd2ZV32qTtkboNzJG65+U4JOc9VAyOOMVG8m23gKqott21nVtuMYAAb5eM8duhHc4L+F5NQV0nhhc/vJNyKZIx0AGRwevzdyKs2sdtKZCYIZCrFG8zDfPj7pGMDJ+Xk9ffihcsXfqUo62JyUltRJ9iaATDaquVJU9RkcgDqeOxqvOl1GBCbgmMyq3mOgUcOrHAyOuCCen5mmWttAliohjtUmDPsESjYoO4J90dNo6AevQVfdbqcAQPt3DncBwMcNndgZwemQR19a15VLUlu2xC9rPHI92zNDHLMWdXk2kJghcNH+HUn27CnWUiz3RZblWMSORk7sgn1JLY474J4qFUmN95bQhldQ7sjMqbjyAMEZHBOSO31qFYfPvtSAEcvlwxoyKQ4B5LYzjkdfxAwOCVbldyo2lF8y0NaGTOXeZA8XLIGAGM5OV5Ibhsc8UrXa7X85g0XIBADFuMYxjt/n0rMkk8pQ0kjhPlZWYfNIjbfl45OWPJPT0bk1LdzQu0kjcog8ws0e7nOBwTkgbs8cYx64LdrNhtaKdi09xunZ542iWU42swXaoBIOO/OB+n1sSSXBVPKXbKSDuOGLDHfHX+mfpTJg0qqkagmMN8z8b24OF9ARnn8Rkc1VlgN3++W8lQI2WjVhGT1G1iMcDn8upqbK2o3e71JJoWiX/AEq4iaEne4nwDjaRt6HvyMY9K2NIJW3iR2ZmVfkZVYKy4HPcf596w4Xhso4XdvNiDYRsCRjxyRj6AcDP9NzQpxdWrTqGCFyI8jHy8Y4pKydhwkua3U2Kq3Jg2EyqGwDxsLHHfAHNWqypNPEmqNdOAQI9qleGB+uePyz71Z0BPIyyYS3uUCEsvl+WA55PAJ+vX+9+Vu1vUurfzhHLGuM/vFwSPWsy+0X7XCkaEYCsn+kyO5Ge/Xr75qOLRrwWrW8s6lNpRVjmlX5cMAPvH/Z5x60AbsciSxh0YMjDIIoqGzga2tI4WcuyDBYsST75JJooAr2L7dO0ocfMiDrj/lmT+PSnzyWkjlHutkhBXasxU8Z7A9eDVWOeO307RnllWNPlBZmAH+qb1qvqn9i3CTtNcwP5qYdBKpDY9s5J4A/KgCHSy7a3qbTQQwRKylJ4n+aUf7XPoB+Z9637eWCQMIZxLg4Pz7sGuRi0jTjLHBJe2rW6fKoEp3dOn3sAdOeuR3610llJYxqRDdI5mYsA0gJ9wPz/AFpJWHJ3ZpVi+ImittFuJXVQN8ZYkDn5lGT61qLPC4BWVCCNwIYcj1rM122lu7FoILcyPKQCylRsxyCckccY78kdskD2Jle2hy0twiy3Ekss6RsFiJUgse2CM5J+noT9JrW0tdSYS5ZXVBhkuiCM59Md89fXpWi/hiYsubhJbeIlktzGME++e9Xo9EMdssQZTGMny25PI6Z+vesYqd7s54wkntoYk8Ey3M6RSmNlVf8AWkHf0zj0bqMj+8OvSqEU0EMqQwmV1bcXD/I0ZwAMcc9R+oOM1uweHrlLuV2lLRy4JEzbtpwBxjHQD68nn1mbw88z7zIsLbyTt5JBPJ9icD9fWqcW9QcJb2OchtB9pS6hnjkuZWLxSBtyFQqgrk56/Mc9CPzGt5+bYLJLGCww6kbHzgc4J+XrjBPpzVm58Oy3UZUzBHUbVfYpyeMNj14yM9M9aqHwpd3csklxciOZiv72P5W255AI74/Dn8hc0XZByy+G2hYgDNGgKuqqAxKYIJz2Pf371TjiinF1v8wpEwjUn5cgqpORgZHI/Ic+mhL4el4DTs6YYEiSQADtkBssemfxqSLT7m3tnWFmlfft+7z1+8dxGeMfiK1bu7lQp8sbWM8W3miK2uZ2kDHfG5Db1IYEdSeOxx2J7UBTb3LrIqmVom8tQzNuTqcAdu2O3B78aF5o966hraZI35yo54IwQOn17cgc0r6BJIpee6kmIywVWKZPPpjrSu+xnyz2sZM2pESTQxRvIXIyJAEXJx6/hgHj3NRFZTCIkv2M0gBdc5VTw3J7DP0+la8PhhLe4DphlLZIZiQvX169vy9zV5NJOFIYI2fmzyWI4B/ICko3+Ij2VRq8vwMKCO4813vHUPzgnACcEc++COeep5rodFt4reyAiZip9SOPyrPl0rUZmcxzQRKGJQOhYg4wpBzx1PHuehNaOmwz2ytHOSQhOJGYZPTsOAKLK+xvShbWxp1iXM98NbWFILd7R1CtvlfceD/CEIx05J9a1mmiTO6RV24ByRxnpXOapqdvBqTpJdFAMNlZUAVhjsR7jrnt05qjcm1C3CTwPi3tfLR5H2sQAF4zwACBkdfwq9YWqxWSpHO57FhJvP0y2T9e9YU+saZeJGk32S6YNscXbx/uzkADOOTux+OemONG1k0iSLbNBp8LY/6ZYHoOCelAG4jBlyCDgkcexoqrpxt/suy2kjaNXfHlkEDLE4446GigDm4fFiW8MMA0/cIkAUtNzwMf3am/4TMZ/wCQf/5G/wDsaKKAD/hNP+of/wCRv/saP+E1/wCof/5G/wDsaKKAD/hNf+of/wCRv/saP+E1/wCof/5G/wDsaKKAD/hNf+of/wCRv/saP+E1/wCof/5G/wDsaKKANDRvEH9r3LRfZfK2oXz5m7PIHoPWtyiigAo7UUUAJRn2oooABQeATRRQAtNwCeR06UUUAOooooAKKKKACkwPSiikAAADgYooopgf/9k=</Data>
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