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<mdHrLvName>Mapa (Map) del proyecto ArcGIS Pro Mapa_TMAP</mdHrLvName>
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<rpIndName>Programa Modelos de Funcionamiento y Sostenibilidad – Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto</rpIndName>
<rpOrgName>Instituto Amazónico de Investigaciones Científicas - SINCHI</rpOrgName>
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<eMailAdd>sinchi@sinchi.org.co</eMailAdd>
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<formatVer>Versión 1.0</formatVer>
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<formatVer>Versión 1.0</formatVer>
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<linkage>withheld</linkage>
<protocol>WWW:LINK-1.0-http--link</protocol>
<orName>ArcGIS REST Services Directory</orName>
<orDesc>Directorio de servicios geográficos de ArcGIS REST del SIAT-AC</orDesc>
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<resTitle>Mapa_TMAP</resTitle>
<resAltTitle>Map</resAltTitle>
<resAltTitle>Mapa_TMAP</resAltTitle>
<presForm>
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<idAbs>Map es el mapa del proyecto ArcGIS Pro Mapa_TMAP del Instituto Amazónico de Investigaciones Científicas – SINCHI para la consulta, visualización y análisis espacial de la Tasa Media Anual de Praderización (TMAP) en la Amazonia colombiana a escala 1:100.000, en el marco de SIMCOBA y del SIAT-AC; describe la praderización (transformación de coberturas a pastizales) en los periodos 2002_2007, 2007_2012, 2012_2014, 2014_2016, 2016_2018, 2018_2020, 2020_2022 y 2022_2024. Integra los siguientes componentes, cada uno con su propio metadato: - Capa_Tmap: capa de entidades poligonales (MultiPolygon, EPSG:3857) para la visualización, los selectores de periodo, departamento, municipio, CAR, paisaje y estado legal y el zoom. - Area_UER: tabla independiente sin geometría para alimentar el indicador de área total de la UER del tablero de mapa TMAP. - Indicador: tabla independiente sin geometría. Los componentes son Query Layers de ArcGIS Pro sobre la base de datos institucional PostgreSQL/PostGIS. El mapa base institucional «Mapa Base - SIAT-AC» se usa como referencia cartográfica.</idAbs>
<idPurp>Integrar la capa temática y las tablas independientes del tablero de mapa TMAP para su consulta por periodo, departamento, municipio, CAR, paisaje y estado legal.</idPurp>
<idCredit>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Mapa de la Tasa Media Anual de Praderización (TMAP) de la Amazonia colombiana a escala 1:100.000, periodos 2002–2024. Versión 1. Programa Modelos de Funcionamiento y Sostenibilidad – Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto.</idCredit>
<idStatus>
<ProgCd value="007">
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<idPoC>
<rpIndName>Uriel Gonzalo Murcia</rpIndName>
<rpOrgName>Instituto Amazónico de Investigaciones Científicas - SINCHI</rpOrgName>
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<eMailAdd>umurcia@sinchi.org.co</eMailAdd>
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<MaintFreqCd value="012">
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<maintNote>Recurso construido sobre los ocho periodos oficiales de monitoreo (2002_2007, 2007_2012, 2012_2014, 2014_2016, 2016_2018, 2018_2020, 2020_2022 y 2022_2024) y la serie anual de coberturas 1:100.000 (2002, 2007, 2012, 2014, 2016, 2018, 2020, 2022 y 2024).</maintNote>
</resMaint>
<placeKeys>
<keyword>Colombia</keyword>
<keyword>Amazonia colombiana</keyword>
</placeKeys>
<themeKeys>
<keyword>Praderización</keyword>
<keyword>Tasa media anual de praderización</keyword>
<keyword>TMAP</keyword>
<keyword>SIMCOBA</keyword>
<keyword>SIAT-AC</keyword>
<keyword>Escala 1:100.000</keyword>
</themeKeys>
<searchKeys>
<keyword>Colombia</keyword>
<keyword>Amazonia colombiana</keyword>
<keyword>Praderización</keyword>
<keyword>Tasa media anual de praderización</keyword>
<keyword>TMAP</keyword>
<keyword>SIMCOBA</keyword>
<keyword>SIAT-AC</keyword>
<keyword>Escala 1:100.000</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>Información temática a escala de referencia 1:100.000, derivada de la interpretación de coberturas de la tierra de SIMCOBA; debe interpretarse conforme a su escala, metodología, periodos de monitoreo y limitaciones de la fuente. No reemplaza levantamientos de detalle ni delimitaciones oficiales.</useLimit>
</Consts>
</resConst>
<resConst>
<LegConsts>
<useLimit>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Todos los derechos reservados. Cualquier uso de este recurso requiere autorización previa del Instituto SINCHI. En los casos autorizados, deberá citarse al Instituto SINCHI como fuente de la información. Licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Los datos se publican como datos abiertos de conformidad con la Ley 1712 de 2014 y la normativa colombiana vigente.</useLimit>
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<useConsts>
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<othConsts>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Todos los derechos reservados. Cualquier uso de este recurso requiere autorización previa del Instituto SINCHI. En los casos autorizados, deberá citarse al Instituto SINCHI como fuente de la información. Licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Los datos se publican como datos abiertos de conformidad con la Ley 1712 de 2014 y la normativa colombiana vigente.</othConsts>
</LegConsts>
</resConst>
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<rfDenom>100000</rfDenom>
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<tpCat>
<TopicCatCd value="010">
</TopicCatCd>
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<dataExt>
<exDesc>Amazonia colombiana. Periodos de monitoreo 2002_2007, 2007_2012, 2012_2014, 2014_2016, 2016_2018, 2018_2020, 2020_2022 y 2022_2024.</exDesc>
<geoEle>
<GeoDesc>
<geoId>
<identCode>Amazonia colombiana</identCode>
</geoId>
</GeoDesc>
</geoEle>
<tempEle>
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<TM_Period gmlID="tp_977c1c002fbb">
<tmBegin>2002</tmBegin>
<tmEnd>2024</tmEnd>
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<dqInfo>
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<scpLvl>
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<dataLineage>
<statement>La información se genera en el Instituto Amazónico de Investigaciones Científicas – SINCHI, Programa Modelos de Funcionamiento y Sostenibilidad, de acuerdo con la metodología y el protocolo institucional de generación de información de SIMCOBA: interpretación de las coberturas de la tierra a escala 1:100.000 por corte de monitoreo, administración en la base de datos institucional PostgreSQL/PostGIS, preparación de vistas de publicación y estructuración de los recursos mediante Query Layers de ArcGIS Pro. Cada componente del mapa conserva su trazabilidad en su metadato individual.</statement>
<prcStep>
<stepDesc>Preparación de la vista de publicación e2_modfun_pub.tmap_mapa_s300_pub_mv y de las fuentes temáticas y territoriales en PostgreSQL/PostGIS.</stepDesc>
</prcStep>
<prcStep>
<stepDesc>Construcción de la capa temática y de las tablas independientes como Query Layers de ArcGIS Pro.</stepDesc>
</prcStep>
<prcStep>
<stepDesc>Integración en el mapa (Map) del proyecto Mapa_TMAP.</stepDesc>
</prcStep>
</dataLineage>
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