Turkey GIS data

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

Retirement Notice: This item is in mature support as of April 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. Turkiye Iller Boundaries provides a 2023 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 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:Country StatistBoelgeler AltBoelgeler Postcodes2 Ilceler Postcodes5

geoBoundaries ADM2 boundaries for Turkey: 999 units, representing 2021. Source: OpenStreetMap, OSM Boundaries.

USGS Magnitude 2.5+ Earthquakes in the past week in Turkey

Türkiye southeast - Subnational Administrative Level 1-3 boundaries and gazetteer These tables extend the official Türkiye - Subnational Administrative Boundaries to administrative level 3 in thirteen of the south-eastern provinces (vilayet). PLEASE SEE CAVEATS.

Türkiye - Elazig province built-up areas

Türkiye - Elazig province [TUR023] populated places

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372** This map illustrates satellite-detected water along the Orontes (Al Assi) River on the Syria-Türkyie boarder close to the Al Tloul and Jakara towns from a Sentinel-2 imagery acquired on 9 February 2023, and from a Worldview-2 imagery aquired on the 13 February 2023. Within the analyzed area of 210 km2 about 18 km2 appears to be flooded. The floods may have been likely triggered by the opening of dams and the damage induced to certain water infrastructures along the river by the tremors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

In response to Turkey Syria Earthquake 2023, Source data includes aerial imagery from Copernicus EMS and Istanbul Technical University, Implementation and Research Center for Satellite Communications and Remote Sensing (CSCRS). Destroyed buildings were derived by users of OSM and Map Roulette. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: destroyed:building = 'yes' AND damage:date = '2023-02-06' Features may have these attributes: - addr:housenumber - addr:full - damage:event - source - damage:type - damage:date - building - destroyed:building - addr:street - name - addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

**ADAM ID: **sm\_us6000qznb Magnitude 6.1 earthquake at 10.0 depth occurred on Aug 10 2025 12km SW of Bigadiç. The epicentre of the earthquake was located at latitude 39.3034 longitude 28.0648. It impacted 609852 people within 50km. 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.

**ADAM ID: **sm\_us7000pufs Magnitude 6.2 earthquake at 10.0 depth occurred on Apr 23 2025 25km SE of Marmara Ereglisi. The epicentre of the earthquake was located at latitude 40.8395 longitude 28.142. It impacted 290437 people within 50km. 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.

**ADAM ID: **sm\_us6000syx6 Magnitude 5.4 earthquake at 10.0 depth occurred on May 20 2026 21km N of Sincik. The epicentre of the earthquake was located at latitude 38.2157 longitude 38.6061. It impacted 603708 people within 50km. 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.

**ADAM ID: **sm\_us6000rjsu Magnitude 6.0 earthquake at 10.0 depth occurred on Oct 27 2025 9km SE of Sındırgı. The epicentre of the earthquake was located at latitude 39.1921 longitude 28.2462. It impacted 121861 people within 50km. 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.

**ADAM ID: **sm\_us6000rdf2 Magnitude 5.4 earthquake at 10.0 depth occurred on Sep 28 2025 27km N of Simav. The epicentre of the earthquake was located at latitude 39.3231 longitude 28.9177. It impacted 104300 people within 50km. 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 provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name Türkiye **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 1.2175 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.1437 million km (11.805%) - Unpaved roads: 0.0911 million km (7.4802%) About 0.9827 million km (80.7148%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0113 million km (1.1482%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

No description yet.

No description yet.

No description yet.

A gridded raster showing the spatial distribution of population across Turkey for 2024. Cell values represent population counts. Published by WorldPop (University of Southampton).

A gridded raster showing the spatial distribution of population in Turkey for 2024, with cell values representing population counts. Published by WorldPop (University of Southampton).

Date of Image: Sentinel 1 UNW: 2/21/2023 Sentinel-1 RNG & AZI: 2/9/2023 JAXA ALOS-2 UNW, AZI & RNG: 2/8/2025 Summary: Scientists working with Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created this displacement map with measurements of the surface displacements, in the radar line-of-sight, caused by the major earthquake in Turkiye. NOTE: The line-of-sight displacement (LOS) measurement is relative, and the dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. SENTINEL-1: The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team computed the interferometric difference (interferogram or interferometric SAR) between the post-event and pre-event images on the Sentinel-1 ascending (satellite moving north) track 14. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly south of due west. Sentinel 1 UNW: post-event image from 2/21, pre-event image from 2/9. Sentinel 1 RNG & AZI: post-event image from 2/9, pre-event image 1/28. JAXA ALOS-2: The maps were derived from synthetic aperture radar (SAR) images from the ALOS-2 L-band operated by the Japanese Aerospace Exploration Agency (JAXA) ALOS-2 SAR satellite. The team computed the interferometric difference (interferogram or interferometric SAR) and pixel offset tracking between the post-event image acquired on February 8, 2023 with a pre-event image acquired on April 6, 2022, on the ALOS-2 descending (satellite moving south) track 78. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 30 degrees from the vertical up and to the east. Suggested Use: Unwrapped Interferogram (UNW): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Across Track Displacement (RNG): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Along Track Displacement (AZI): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East NOTE: Small vertical displacements have also occurred, but the primary surface displacements were in the horizontal plane. Satellite/Sensor: Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2 Resolution: Sentinel-1: 90 meters ALOS-2: 30 meters Credits: NASA-JPL/Caltech ARIA Team The Sentinel-1 data products contain modified Copernicus Sentinel data (2023), processed by the European Space Agency and analyzed at the NASA Jet Propulsion Laboratory. The ALOS-2/PALSAR-2 Data Products are provided by JAXA, facilitated by NASA and analyzed at the NASA Jet Propulsion Laboratory. Service URL: WMS Endpoint: Data Download: Sentinel-1 UNW: https://aria-share.jpl.nasa.gov/20230206_Turkey_EQ/Displacements/Sentinel1/A014_20230209_20230221/ Sentinel 1 RNG & AZI: https://aria-share.jpl.nasa.gov/20230206_Turkey_EQ/Displacements/Sentinel1/A014_20230128_20230209/ ALOS-2: https://aria-share.jpl.nasa.gov/20230206_Turkey_EQ/Displacements/

Date of Images: 2/2/2023, 2/10/2023, 2/17/2023 Summary: This PlanetScope imagery captured by Planet Labs Inc. in February 2023 shows a few landslides following the earthquakes in Türkiye. True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB s produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Suggested Use: True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: PlanetScope Resolution: 3 meters Credits: NASA Disasters Program, NASA GSFC, Includes copyrighted material of Planet Labs PBC. All rights reserved. Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=871506b5ebee48c18ff6b89fa5f775f9 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_planet/ImageServer/WMSServer