Spain GIS data
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satellite imagery by Jose J. Coma, acquired 2026-03-02 to 2026-03-03, 6.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-17 to 2025-04-17, 5.0 cm per pixel, published on OpenAerialMap.
ResumAquest servei de dades recull la relació d’expedients administratius en tramitació a l’Ajuntament de Manlleu. Ofereix una visió estructurada dels registres administratius amb informació bàsica d’identificació, descripció i classificació documental, així com dades associades a l’any, la data de creació i l’ens vinculat. Contingut de la taulaExpedientsAdministratius: conté els expedients administratius amb el seu codi, descripció, sèrie documental, any, data de creació i identificadors de l’ens. Àmbit geogràfic i institucionalLa informació està vinculada a l’Ajuntament de Manlleu i reflecteix la gestió interna dels expedients administratius del servei d’arxiu. La llicència del servei és Reconeixement 4.0 Internacional de Creative Commons. Ús recomanatConsulta i seguiment d’expedients administratius. Suport a la gestió documental i arxivística municipal. Exploració de registres administratius per a tasques de transparència i organització interna.
uav imagery by evd, acquired 2025-05-27 to 2025-05-28, 5.3 cm per pixel, published on OpenAerialMap.
uav imagery by Sam Colchester, acquired 2026-06-05 to 2026-06-05, 6.1 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-02-15 to 2026-02-15, 65.5 cm per pixel, published on OpenAerialMap.
satellite imagery by castor_tech, acquired 2026-08-13 to 2026-08-14, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-13 to 2025-04-13, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-17 to 2025-04-17, 6.4 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-20 to 2025-04-20, 4.0 cm per pixel, published on OpenAerialMap.
geoBoundaries ADM1 boundaries for Spain: 19 units, representing 2017. Source: Instituto de Geografico Nacional. CC-BY 4.0
uav imagery by OpenStreetMap, acquired 2026-03-18 to 2026-03-18, 6.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-17 to 2025-04-17, 6.7 cm per pixel, published on OpenAerialMap.
uav imagery by Sam Colchester, acquired 2026-02-18 to 2026-02-18, 4.7 cm per pixel, published on OpenAerialMap.
satellite imagery by LEBSIR, acquired 2026-01-25 to 2026-01-26, 27798.8 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-02-15 to 2026-02-15, 65.5 cm per pixel, published on OpenAerialMap.
uav imagery by Jose J. Coma, acquired 2026-03-02 to 2026-03-03, 6.0 cm per pixel, published on OpenAerialMap.
uav imagery by Sam Colchester, acquired 2026-02-18 to 2026-02-18, 5.8 cm per pixel, published on OpenAerialMap.
satellite imagery by OSM, acquired 2026-07-08 to 2026-07-08, 4.8 cm per pixel, published on OpenAerialMap.
uav imagery by evd, acquired 2025-05-27 to 2025-05-28, 5.3 cm per pixel, published on OpenAerialMap.
uav imagery by Sam Colchester, acquired 2026-06-05 to 2026-06-05, 5.9 cm per pixel, published on OpenAerialMap.
uav imagery by Sam Colchester, acquired 2026-02-24 to 2026-02-24, 3.4 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-17 to 2025-04-17, 5.2 cm per pixel, published on OpenAerialMap.
uav imagery by Dronecoria, acquired 2026-07-25 to 2026-07-26, 2.0 cm per pixel, published on OpenAerialMap.
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 shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
# Spain Floods: Damage and Flood Proxy Maps, Oct 2024 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Spain Floods (Oct 2024) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Valencia Region, Spain, Floods, 1 Nov 2024, v0.9 ** - **EOS-RS Damage Proxy Map: Valencia Region, Spain, Floods, 31 Oct 2024 - 1 Nov 2024, v2.5 ** - **EOS-RS Damage Proxy Map: Valencia Region, Spain, Floods, 31 Oct 2024, v0.9 ** (superseded) - **EOS-RS Flood Proxy Map: Valencia Region, Spain, Floods, 31 Oct 2024, v0.9** **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)
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.
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
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
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
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
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