<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20261006</CreaDate>
<CreaTime>06153800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
<mdFileID>5dfd6c2e-6c66-48af-97ef-318e8d7a67ca</mdFileID>
<mdLang>
<languageCode value="spa">
</languageCode>
</mdLang>
<mdChar>
<CharSetCd value="004">
</CharSetCd>
</mdChar>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName>Mapa completo del proyecto ArcGIS Pro Mapa_100k</mdHrLvName>
<mdContact>
<rpIndName>Programa Modelos de Funcionamiento y Sostenibilidad</rpIndName>
<rpOrgName>Instituto Amazónico de Investigaciones Científicas - SINCHI</rpOrgName>
<rpCntInfo>
<cntAddress>
<eMailAdd>sinchi@sinchi.org.co</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010">
</RoleCd>
</role>
</mdContact>
<mdDateSt>20261006</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<dataIdInfo>
<idCitation>
<resTitle>Mapa_100K</resTitle>
<resAltTitle>Mapa_100k</resAltTitle>
<presForm>
<PresFormCd value="005">
</PresFormCd>
</presForm>
</idCitation>
<idAbs>Capa de entidades poligonales Ccob_simplificada (Query Layer Coberturas_100k_simplificada) del mapa Cob_Region_100k_Map (Mapa Coberturas de la tierra 100K). Es una capa espacial derivada para publicación cartográfica que representa las coberturas de la tierra de la Amazonia colombiana a escala 1:100.000 monitoreadas por SIMCOBA. Cada entidad corresponde a un polígono de cobertura de un corte de monitoreo, identificado en el campo periodo; El mapa presenta un único corte a la vez, seleccionado por el usuario mediante el dominio de periodo; los cortes disponibles para selección individual son 2002, 2007, 2012, 2014, 2016, 2018, 2020, 2022 y 2024.
La capa se obtiene mediante una consulta de proyección directa sobre la vista materializada e2_modfun_pub.cob_periodos_100k_s300_mv, en la que la geometría ya se encuentra reparada, simplificada e indexada: la consulta no ejecuta CTE, JOIN, agregaciones, funciones de ventana, reparación, simplificación ni reproyección de la geometría; selecciona los atributos de periodo, territorio, estado legal, condición, cobertura y área, completa etiquetas de presentación, publica como nulos los campos de compatibilidad de estructura y agrega los campos constantes de total (todos_*) que, combinados con el campo real (por ejemplo, departamen o todos_departamentos_ui), permiten que la opción «Todos…» de cada selector conserve todas las entidades. Se excluyen las entidades sin geometría o con geometría vacía. El área publicada (area_ha) es la registrada en la vista y no se recalcula con ST_Area. Geometría: MultiPolygon en el campo shape, sistema de referencia EPSG:3857 (WGS 84 / Pseudo-Mercator).
Diccionario de datos:
objectid (Entero): Identificador único de la entidad, tomado de la vista de publicación. Procedencia: fuente.
objectid_fuente (Entero): Identificador del registro de origen (source_objectid de la vista). Procedencia: fuente.
rol_temporal (Texto): Rol temporal del registro. Valor constante: DIRECTO (registro del corte, sin comparación). Derivado.
periodo (Texto): Corte de monitoreo de la entidad (año). Dominio: 2002, 2007, 2012, 2014, 2016, 2018, 2020, 2022, 2024. Procedencia: fuente.
periodo_label (Texto): Etiqueta de presentación del corte. Derivado.
periodo_nombre (Texto): Nombre de presentación del corte; si la vista no lo registra, toma el valor de periodo. Procedencia: fuente.
orden_periodo (Entero): Valor de ordenamiento cronológico del corte. Procedencia: fuente.
orden_periodo_desc (Entero): Valor de ordenamiento cronológico descendente (orden_periodo con signo negativo). Derivado.
es_ultimo (Entero): Indicador del corte más reciente. Dominio: 1 = corte más reciente; 0 = otro corte (0 cuando la vista no lo registra). Procedencia: fuente.
periodo_ant (Texto): Campo de compatibilidad de estructura; se publica sin valor (nulo) en esta capa. Derivado.
periodo_pos (Texto): Campo de compatibilidad de estructura; se publica sin valor (nulo) en esta capa. Derivado.
periodos (Texto): Corte de la entidad (igual a periodo). Derivado.
periodo_origen (Texto): Campo del que proviene el corte. Valor constante: «periodo». Derivado.
region_key (Texto): Llave de la región. Procedencia: fuente.
region_label (Texto): Nombre de la región. Procedencia: fuente.
departamen (Texto): Nombre del departamento; campo real utilizado por el filtro de departamento. Procedencia: fuente.
departamento_key (Texto): Llave de departamento para relaciones y filtros. Procedencia: fuente.
departamento_label (Texto): Etiqueta de presentación del departamento («Sin departamento» si no se registra). Derivado.
nom_municipio (Texto): Nombre del municipio; campo real utilizado por el filtro de municipio. Procedencia: fuente.
municipio_key (Texto): Llave de municipio para relaciones y filtros. Procedencia: fuente.
municipio_label (Texto): Etiqueta de presentación del municipio («Sin municipio» si no se registra). Derivado.
id_uer_mun (Tipo heredado de la vista de publicación): Identificador de la Unidad Espacial de Referencia (UER) de nivel municipal. Procedencia: fuente.
id_uer_dep (Tipo heredado de la vista de publicación): Identificador de la UER de nivel departamental. Procedencia: fuente.
sigla_car (Texto): Sigla de la Corporación Autónoma Regional (CAR); campo real utilizado por el filtro de CAR. Procedencia: fuente.
id_uer_car (Tipo heredado de la vista de publicación): Identificador de la UER de nivel CAR. Procedencia: fuente.
car_key (Texto): Llave de CAR para relaciones y filtros. Procedencia: fuente.
car_label (Texto): Etiqueta de presentación de la CAR («Sin CAR» si no se registra). Derivado.
paisaje (Texto): Paisaje asociado a la entidad; campo real utilizado por el filtro de paisaje. Procedencia: fuente.
paisaje_key (Texto): Llave de paisaje para relaciones y filtros. Procedencia: fuente.
id_uer_pai (Tipo heredado de la vista de publicación): Identificador de la UER de nivel paisaje. Procedencia: fuente.
leyenda (Texto): Figura legal (estado legal del territorio) de la entidad. Procedencia: fuente.
leyenda_key (Texto): Llave de la figura legal. Procedencia: fuente.
leyenda_label (Texto): Etiqueta de presentación de la figura legal («Sin figura legal» si no se registra). Derivado.
sigla_elt (Texto): Sigla de la figura de estado legal del territorio. Procedencia: fuente.
sigla_elt_key (Texto): Llave de la sigla de estado legal del territorio. Procedencia: fuente.
nombre_area (Texto): Nombre del área de estado legal del territorio. Procedencia: fuente.
elt_key (Texto): Llave del área de estado legal del territorio. Procedencia: fuente.
id_uer_elt (Tipo heredado de la vista de publicación): Identificador de la UER de nivel estado legal del territorio. Procedencia: fuente.
condicion (Texto): Condición de la cobertura de la tierra; campo real utilizado por el filtro de condición. Procedencia: fuente.
condicion_key (Texto): Llave de condición («__SIN_CONDICION__» si no se registra). Derivado.
cob_agrup (Texto): Cobertura de la tierra agrupada; campo real utilizado por el filtro de cobertura agrupada. Procedencia: fuente.
cob_agrup_key (Texto): Llave de cobertura agrupada. Procedencia: fuente.
cobertura (Texto): Cobertura de la tierra detallada. Procedencia: fuente.
cobertura_key (Texto): Llave de cobertura detallada. Procedencia: fuente.
codigo (Tipo heredado de la vista de publicación): Código de la cobertura de la tierra. Procedencia: fuente.
cambio (Texto): Campo de compatibilidad de estructura; se publica sin valor (nulo) en esta capa. Derivado.
deforestacion (Doble): Campo de compatibilidad de estructura; se publica sin valor (nulo) en esta capa. Derivado.
fragmentacion (Doble): Campo de compatibilidad de estructura; se publica sin valor (nulo) en esta capa. Derivado.
praderizacion (Doble): Campo de compatibilidad de estructura; se publica sin valor (nulo) en esta capa. Derivado.
area_ha (Doble): Superficie oficial del polígono registrada en la vista (0 si no se registra); no se recalcula a partir de la geometría. Unidad: hectáreas (ha). Procedencia: fuente.
area_km2 (Doble): Superficie del polígono registrada en la vista o, en su ausencia, area_ha / 100. Unidad: kilómetros cuadrados (km²). Procedencia: fuente / derivado.
todos_departamentos_ui (Texto): Valor constante «Todos los departamentos», usado junto con departamen para que la opción de total del selector conserve todas las entidades. Derivado.
todos_municipios_ui (Texto): Valor constante «Todos los municipios», usado junto con nom_municipio en el filtro de municipio. Derivado.
todas_car_ui (Texto): Valor constante «Todas las CAR», usado junto con sigla_car en el filtro de CAR. Derivado.
todos_paisajes_ui (Texto): Valor constante «Todos los paisajes», usado junto con paisaje en el filtro de paisaje. Derivado.
todas_condiciones_ui (Texto): Valor constante «Todas las condiciones», usado junto con condicion en el filtro de condición. Derivado.
todas_cob_agrupadas_ui (Texto): Valor constante «Todas las coberturas agrupadas», usado junto con cob_agrup en el filtro de cobertura agrupada. Derivado.
shape (Geometría (MultiPolygon, EPSG:3857)): Geometría poligonal de la entidad, reparada, simplificada e indexada en la vista de publicación. Procedencia: fuente.</idAbs>
<idPurp>Representar cartográficamente las coberturas de la tierra del corte seleccionado y permitir su filtrado por departamento, municipio, CAR, paisaje, condición y cobertura agrupada en el Mapa Coberturas de la tierra 100K.</idPurp>
<idCredit>Instituto Amazónico de Investigaciones Científicas SINCHI (2026). Coberturas de la tierra de la Amazonia colombiana a escala 1:100.000 por corte de monitoreo (2002 a 2024). Versión 1. Programa Modelos de Funcionamiento y Sostenibilidad – Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto.</idCredit>
<idPoC>
<rpIndName>Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto</rpIndName>
<rpOrgName>Instituto Amazónico de Investigaciones Científicas - SINCHI</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>Calle 20 # 5 - 44</delPoint>
<city>Bogotá D.C.</city>
<adminArea>Cundinamarca</adminArea>
<postCode>11001</postCode>
<country>CO</country>
<eMailAdd>siatac@sinchi.org.co</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</idPoC>
<idPoC>
<rpIndName>Uriel Gonzalo Murcia</rpIndName>
<rpOrgName>Instituto Amazónico de Investigaciones Científicas - SINCHI</rpOrgName>
<rpCntInfo>
<cntAddress>
<eMailAdd>umurcia@sinchi.org.co</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="008">
</RoleCd>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="012">
</MaintFreqCd>
</maintFreq>
<usrDefFreq>
<duration>P2Y</duration>
</usrDefFreq>
<maintNote>Actualización bienal, sujeta al ciclo oficial de monitoreo de SIMCOBA.</maintNote>
</resMaint>
<placeKeys>
<keyword>Colombia</keyword>
<keyword>Amazonia colombiana</keyword>
</placeKeys>
<themeKeys>
<keyword>SIAT-AC</keyword>
<keyword>SIMCOBA</keyword>
<keyword>Coberturas de la Tierra</keyword>
<keyword>Coberturas agrupadas</keyword>
<keyword>Monitoreo multitemporal</keyword>
<keyword>Escala 1:100.000</keyword>
</themeKeys>
<searchKeys>
<keyword>Colombia</keyword>
<keyword>Amazonia colombiana</keyword>
<keyword>Coberturas de la tierra</keyword>
<keyword>Cobertura agrupada</keyword>
<keyword>Cobertura detallada</keyword>
<keyword>SIMCOBA</keyword>
<keyword>Escala 1:100.000</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>Licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Los datos se disponen como datos abiertos, conforme a la Ley 1712 de 2014 y a la normativa colombiana vigente sobre datos abiertos.</useLimit>
<accessConsts>
<RestrictCd value="008">
</RestrictCd>
</accessConsts>
<useConsts>
<RestrictCd value="005">
</RestrictCd>
</useConsts>
<othConsts>Licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Los datos se disponen como datos abiertos, conforme a la Ley 1712 de 2014 y a la normativa colombiana vigente sobre datos abiertos.</othConsts>
</LegConsts>
</resConst>
<dataScale>
<equScale>
<rfDenom>100000</rfDenom>
</equScale>
</dataScale>
<dataLang>
<languageCode value="spa">
</languageCode>
</dataLang>
<dataChar>
<CharSetCd value="004">
</CharSetCd>
</dataChar>
<tpCat>
<TopicCatCd value="010">
</TopicCatCd>
</tpCat>
<dataExt>
<exDesc>Amazonia colombiana. Cortes de monitoreo de la familia SIMCOBA 1:100.000: 2002, 2007, 2012, 2014, 2016, 2018, 2020, 2022 y 2024.</exDesc>
<geoEle>
<GeoDesc>
<geoId>
<identCode>Amazonia colombiana</identCode>
</geoId>
</GeoDesc>
</geoEle>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period gmlID="tp_5dfd6c2e6c66">
<tmBegin>2002</tmBegin>
<tmEnd>2024</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005">
</ScopeCd>
</scpLvl>
</dqScope>
<dataLineage>
<statement>La información se produce en el Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto y el Programa Modelos de Funcionamiento y Sostenibilidad del Instituto SINCHI, de acuerdo con la metodología y el protocolo institucional de generación de información de SIMCOBA. Evidencia actual: el proyecto ArcGIS Pro contiene el mapa Mapa_100k con la capa Ccob_hist_wm, el mapa base institucional y las tablas independientes Dominio_Periodo, Dominio_Filtros y Dominio_Filtros_1. Antecedente de la familia 100K: la documentación técnica de una versión anterior del mapa de coberturas 1:100.000 registra recursos construidos mediante Query Layers sobre las vistas materializadas e2_modfun_pub.cob_periodos_100k_s300_mv (componente espacial) y e2_modfun_pub.cob_periodos_100k_s300_pub_mv (dominios y analítica), para los cortes 2002, 2007, 2012, 2014, 2016, 2018, 2020, 2022 y 2024. Este antecedente describe la familia y no establece la consulta ni la fuente del recurso actual.</statement>
<prcStep>
<stepDesc>Integración en ArcGIS Pro de la capa Ccob_hist_wm y de las tablas independientes Dominio_Periodo, Dominio_Filtros y Dominio_Filtros_1 en el mapa Mapa_100k.</stepDesc>
</prcStep>
</dataLineage>
</dqInfo>
</metadata>
