Ecuador GIS data

1. Descripción Divisiones territoriales de gestión hídrica correspondientes a las Demarcaciones Hidrográficas del Ecuador que intersectan el módulo ecuatoriano. 2. Fuente Geoportal IDE Ambiente; referencia institucional de planificación hídrica del Ministerio del Ambiente y Agua. 3. Procedimiento gportal Fuente HB003: 10 polígonos nacionales. Tres demarcaciones intersectan ECU_MOD. Se conserva solamente el nombre de la demarcación y el área recortada. Se descartan fcode y ralt: el primero es código interno y el segundo carece de definición documental en el paquete recibido, por lo que no se expone al usuario. No se aplica dissolve ni simplificación. 4. Referencias https://ide.ambiente.gob.ec/mapainteractivo/ https://suia.ambiente.gob.ec/?page_id=495

1. Descripción Componente oficial del Geoportal IDE Ambiente con las Reservas de Biósfera. Dentro de ECU_MOD se conservan Podocarpus-El Cóndor, Macizo del Cajas, Yasuní y Sumaco. 2. Fuente Geoportal IDE Ambiente; diccionario HC002_RESERVA_BIOSFERA.pdf; UNESCO Man and the Biosphere Programme. 3. Procedimiento gportal Fuente HC002: 8 reservas nacionales; 4 intersectan ECU_MOD. Se mantienen individualmente. Se eliminaron código interno y escala, se normalizaron nombres/provincias, se conservan fecha de creación e informe periódico tal como figuran en la fuente, y se recalculó Area_ha tras el recorte. La fecha 2024-11-10 consignada para Sumaco se preserva como dato fuente y se documenta como discrepancia frente a UNESCO, que registra Sumaco como reserva designada en 2000. 4. Control y observaciones Registros originales: 8 Registros finales: 4 Dissolve: No aplicado Discrepancia Sumaco: La fuente consigna 2024-11-10; UNESCO registra designación en 2000. Se preserva el dato fuente y se documenta. CRS final: WGS 84 (EPSG:4326) 5. Referencias https://ide.ambiente.gob.ec/mapainteractivo/ https://www.unesco.org/en/mab https://www.unesco.org/en/mab/yasuni https://www.unesco.org/en/mab/podocarpus-el-condor

1. Descripción Componente poligonal de Áreas de Protección Hídrica. La ficha del Geoportal IDE Ambiente conservada con la descarga indica mayo de 2026 como fecha de información geográfica. La fuente define estas áreas como territorios donde existen fuentes de agua declaradas de interés público para su mantenimiento, conservación y protección, que abastecen el consumo humano o contribuyen a garantizar la soberanía alimentaria. Denominación corta Áreas de Protección Hídrica Designación larga Áreas de Protección Hídrica del módulo ecuatoriano Código temático HD002 Fecha de información geográfica Mayo de 2026 Registros originales 42 Registros que intersectan ECU_MOD 25 CRS final WGS 84 (EPSG:4326) Campos finales Dir_zonal, Dem_hidro, Nombre 2. Fuente original Fuente: Ministerio del Ambiente y Energía - Geoportal IDE Ambiente, componente «Áreas de Protección Hídrica». Se preservan en la carpeta Original la descarga original y la captura descriptiva DESCP006.jpg. https://ide.ambiente.gob.ec/mapainteractivo/ https://www.datosabiertos.gob.ec/dataset/area-de-proteccion-hidrica https://www.ambiente.gob.ec/wp-content/uploads/downloads/2018/05/Ley-Organica-Recursos-Hidricos-Usos-y-Aprovechamiento-del-Agua.pdf 3. Operaciones GIS Lectura del shapefile original con 42 registros en EPSG:32717. Recorte espacial mediante intersección con el polígono «ECU_MOD_POLIG_LIMITE_WGS84 4326». Conservación de 25 Áreas de Protección Hídrica que intersectan ECU_MOD. Reproyección del resultado a WGS 84 (EPSG:4326). No se aplicó dissolve, simplificación ni generalización geométrica. 4. Depuración de la tabla de atributos Por criterio de preparación para la aplicación se conservaron únicamente las tres columnas marcadas en la tabla original: namdz, dhnom y nam. Fueron renombradas a Dir_zonal, Dem_hidro y Nombre para facilitar su lectura y mantener compatibilidad con Shapefile. Los contenidos se normalizaron de mayúsculas sostenidas a mayúsculas y minúsculas. Se corrigió además la codificación de caracteres para preservar tildes y nombres propios. No se alteró el significado de los valores seleccionados. La fuente contiene campos secundarios de dirección zonal y demarcación hidrográfica. Por criterio de depuración de esta entrega se conservaron únicamente las tres columnas marcadas: namdz, dhnom y nam. En el conjunto que intersecta ECU_MOD, el registro «Sur del Ecuador» presenta información secundaria en esos campos auxiliares; dicha información permanece disponible en el original preservado. 5. Estructura final de atributos Campo final Campo fuente Alias Contenido Dir_zonal namdz Dirección zonal Dirección zonal principal asociada al área. Dem_hidro dhnom Demarcación hidrográfica Demarcación hidrográfica principal asociada al área. Nombre nam Nombre del área Nombre propio del Área de Protección Hídrica.

1. Descripción Componente oficial del Geoportal IDE Ambiente correspondiente a Bosques y Vegetación Protectores. Para la entrega gportal se mantienen las unidades individualmente porque cada una posee nombre, modalidad de gestión e instrumento oficial propios. 2. Procesamiento 175 unidades en la fuente nacional; 59 intersectan ECU_MOD. Recorte exacto por ECU_MOD y reproyección a WGS 84 (EPSG:4326). No se aplicó dissolve ni simplificación de vértices. Se eliminaron códigos internos, escala, perímetro y texto vacío; se conservaron atributos útiles para el usuario. Area_ha se recalculó después del recorte. 3. Fuente y referencias Geoportal IDE Ambiente y diccionario oficial HC000_BVP.pdf. https://ide.ambiente.gob.ec/mapainteractivo/ https://www.ambiente.gob.ec/wp-content/uploads/downloads/2025/05/ACUERDO-Nro.-MAATE-MAATE-2025-0033-A.pdf

1. Descripción Componente oficial del Geoportal IDE Ambiente correspondiente al Patrimonio Forestal del Estado. La entrega conserva las unidades individualmente y mejora la lectura de su denominación, instrumento oficial y estado de validación. 2. Fuente Geoportal IDE Ambiente; diccionario oficial HC001_PFE.pdf. 3. Procedimiento gportal Fuente HC001: 28 unidades. Se conservaron 11 que intersectan ECU_MOD. No se aplicó dissolve porque cada unidad del Patrimonio Forestal del Estado tiene identidad propia. Se eliminaron códigos internos, escala, perímetro, duplicado de nombre y texto vacío. Se normalizaron Nombre, Documento y Estado; Area_ha se recalculó después del recorte. Resultado EPSG:4326.

1. Descripción Componente derivado del objeto oficial «Zona Intangible» del Geoportal IDE Ambiente. La ficha DESCP010.jpg describe la Zona Intangible Tagaeri-Taromenane como un espacio protegido de excepcional importancia cultural y biológica en el que no puede realizarse actividad extractiva, y señala diciembre de 2022 como fecha de información geográfica. El shapefile descargado contiene dos unidades: la Zona Intangible Tagaeri-Taromenane y la Zona Intangible Cuyabeno-Imuya. Ambas intersectan ECU_MOD y se mantienen como entidades separadas. Denominación corta Zonas Intangibles Designación larga Zonas Intangibles del módulo ecuatoriano Código temático HC003 Fecha indicada en la ficha Diciembre de 2022 Registros originales 2 Registros finales 2 CRS final WGS 84 (EPSG:4326) Superficie geométrica final 1.257.400,316 ha 2. Fuente y verificación Fuente primaria del componente: Ministerio del Ambiente y Energía - Geoportal IDE Ambiente. El diccionario HC003 define los atributos de código, nombre, documento oficial, escala, superficie y texto asociado. https://ide.ambiente.gob.ec/mapainteractivo/ El Registro Oficial mantiene referencias actuales a la Zona Intangible Tagaeri-Taromenane y su zona de amortiguamiento, lo que confirma la vigencia de esta denominación institucional. Documentos ambientales oficiales recientes también reconocen expresamente la Zona Intangible Cuyabeno-Imuya. 3. Criterio gportal No se aplicó dissolve: solo existen dos polígonos y cada uno representa una unidad distinta con identidad y documento oficial propios. La simplificación necesaria se concentró en la tabla de atributos y en la mejora de su legibilidad. 4. Depuración de atributos Se eliminó codigo_de_, código temático HC003 redundante para el usuario de la aplicación. Se eliminó texto_asoc de la tabla final; contiene una nota técnica de reproyección que se conserva en el original y se documenta en los metadatos. nombre se transformó en Nombre y se antepuso la designación «Zona Intangible». documento_ se transformó en Documento, normalizando mayúsculas, puntuación y redacción sin cambiar números o fechas de la fuente. area_super se sustituyó por Area_ha, recalculada después del recorte a ECU_MOD. 5. Observación sobre el documento Tagaeri-Taromenane El dataset recibido consigna para Tagaeri-Taromenane el Decreto Ejecutivo No. 552 de 1999 y, adicionalmente, un Decreto Ejecutivo No. 2187 fechado el 3 de enero de 1997. Esta última fecha se conserva literalmente en el producto por fidelidad a la fuente, pero se marca como dato a verificar: la secuencia histórica institucional disponible sitúa la delimitación posterior de la ZITT en una etapa posterior a su creación en 1999. 6. Unidades incluidas Nombre Área (ha) Documento consignado Zona Intangible Cuyabeno-Imuya 433.286,219 Decreto Ejecutivo No. 551, de 2 de febrero de 1999, publicado en el Registro Oficial Suplemento No. 121 de 1999 Zona Intangible Tagaeri-Taromenane 824.114,097 Decreto Ejecutivo No. 552, de 2 de febrero de 1999, publicado en el Registro Oficial Suplemento No. 121 de 1999, Decreto Ejecutivo No. 2187, de 3 de enero de 1997

geoBoundaries ADM1 boundaries for Ecuador: 24 units, representing 2011. Source: geoBoundaries, Wikimedia Commons.

uav imagery by DIRECCIÓN METROPOLITANA DE GESTIÓN DE RIESGOS, acquired 2025-08-05 to 2025-08-05, 4.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by JM, acquired 2025-11-29 to 2025-11-30, 5.7 cm per pixel, published on OpenAerialMap.

geoBoundaries ADM0 boundaries for Ecuador: 1 units, representing 2011. Source: geoBoundaries, Wikimedia Commons.

uav imagery by HOT, acquired 2026-03-29 to 2026-03-30, 6.1 cm per pixel, published on OpenAerialMap.

Operational Presence for the Earthquake Response

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

**ADAM ID: **FL-20250313-ECU-02 A flood occurred on Mar 13 2025 in Ecuador. It affected an estimated 325328 people and 90608 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

This dataset contains annual, 100m-resolution above ground biomass (AGB) estimates from CTrees, a NASA-affiliated forest-carbon monitoring organization, clipped to this country's boundary from CTrees' global AGB raster. Pixel values are stored as int16, scaled x10 relative to the true value in megagrams per hectare (Mg/ha) -- divide by 10 to get Mg/ha. See the caveats field and resource description for details on how this scale factor is recorded and why it isn't applied automatically by most tools.

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT

Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Ecuador Cantone Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Provincia

uav imagery by Robert Howe, acquired 2025-11-10 to 2025-11-10, 1098.2 cm per pixel, published on OpenAerialMap.

satellite imagery by RA, acquired 2025-11-29 to 2025-11-30, 5.7 cm per pixel, published on OpenAerialMap.

geoBoundaries ADM2 boundaries for Ecuador: 224 units, representing 2019. Source: INEC - Instituto Nacional de Estadística y Censos, OCHA ROLAC.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Ecuador Provincia Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Cantone