Syrian Arab Republic GIS data

This map illustrates the percentage of buildings damaged in the city of Aleppo, Syrian Arabic Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 18 September 2016, 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNOSAT identified a total of 33,521 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Note that this analysis considers only damage in residential areas and excludes industrial areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 06 July and 30 June 2016, 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,968 affected structures, of which 4,969 were destroyed, 345 severely damaged, and 654 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 4,673 affected structures within the city. Approximately 802 of these were destroyed, 1,410 severely damaged, and 2,461 moderately damaged. While much of the city was damaged by 10 May 2015, 1,389 structures were newly damaged and 66 structures experienced an increase in damage between that date and 25 May 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage density east of the city of Damascus, Syrian Arab Republic. Using satellite imagery acquired 02 April 2016, UNITAR - UNOSAT identified a total of 17,043 affected structures within and around the Jobar neighborhood and the city of Irbin. Approximately 4,492 of these were destroyed, 7,032 severely damaged, and 5,525 moderately damaged. This analysis was done as part of a broader analysis of areas around Damascus, and the full analysis revealed a total of 24,391 affected structures, of which 7,346 were destroyed, 9,423 severely damaged, and 7,622 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FR20250707SYR, GDACS ID: 1024188** This map illustrates satellite-detected burned areas in Qastal Maaf Subdistrict, Latakia Governorate, Syria based on Planet Scope image acquired on 4 July 2025 at 11:43 local time. Within the analyzed area of about 30 km², about 4 km² of lands appear to be potentially burned. Based on WorldPop population data and the extent of burned areas (within 1 km), approximately 900 people are potentially exposed or living in close to burned areas. In addition, about 500 buildings are located within 1 km of the burned zones, which may also be at risk or affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FR20250707SYR, GDACS ID: 1024188** This map illustrates satellite-detected burned areas in Qastal Maaf, Rabee'a, and Kasab Sub-districts, Latakia Governorate, Syria, based on Pleiades imagery acquired on 8 July 2025 at 11:48 local time. Within the analyzed area of approximately 700 km², around 100 km² of land appears to be potentially burned. Based on WorldPop population data and the extent of the burned areas, an estimated 5,500 people are potentially exposed or living in close proximity to the affected zones. In addition, approximately 2,400 buildings were potentially exposed to fires. 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 map illustrates satellite-detected areas of displaced person settlements in the Daraa and Quneitra Governorates, Syria. Using satellite imagery collected between 3 November 2016 and 7 June 2017, covering an analyzed area of 2,513 sq km (251,362 ha), UNOSAT identified 766 locations where possible displaced persons shelters are visible. Approximately a total of 5,516 shelter structures are estimated to be within the 777 ha of settlement areas. Due to the characteristics of the possible IDP settlements in the area, being the majority of them scattered structures in agricultural fields, the number of possible IDP shelters might have been overestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This dataset contains Syrian Arab Republic Airports provided by the logistics cluster.

This map illustrates satellite-detected damage density in the subdistricts of Kafr Batna and Irbin and in the eastern part of Damascus city, Syrian Arab Republic. Using satellite imagery acquired 3 December 2017 and 2 April 2016, UNITAR - UNOSAT identified a total of 12,541 affected structures. Approximately 3,853 of these were destroyed, 5,141 severely damaged, and 3,547 moderately damaged. Comparison with the previous UNOSAT analysis using imagery from 2 April 2016 shows an overall increase of 6% in the number of damaged buildings since 2016. The areas with a higher increase in the percentage of damage are Ein Tarma (14% increase), Hammura (15% increase) and Kafr Batna (17 % increase). Moreover, approximately 7% of the buildings damaged as of April 2016 have been targeted again and suffered additional damage. The majority of these buildings are located in Ein Tarma, Jobar and Al Maamouniye. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected areas of displaced person settlements in the Idlib, Lattakia and Aleppo Governorates, Syria. Using satellite imagery collected between 7 September 2016 and 10 February 2017, covering an analyzed area of 9,039 sq km (903,920 ha), UNOSAT identified 267 locations where possible displaced persons shelters are visible. Approximately a total of 63,771 shelter structures are estimated to be within the 1,501 ha of settlement areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage density in the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 10 May 2015, 13 May 2014, 24 October 2013, and 05 December 2010 UNITAR - UNOSAT identified a total of 3,435 affected structures within the city. Approximately 538 of these were destroyed, 1,153 severely damaged, and 1,744 moderately damaged. While much of the city was damaged by 13 May 2014, 349 structures were newly damaged and 70 structures experienced an increase in damage between that date and 10 May 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage east of the city of Damascus, Syrian Arab Republic. Using satellite imagery acquired 02 April 2016, UNITAR - UNOSAT identified a total of 17,043 affected structures within and around the Jobar neighborhood and the city of Irbin. Approximately 4,492 of these were destroyed, 7,032 severely damaged, and 5,525 moderately damaged. This analysis was done as part of a broader analysis of areas around Damascus, and the full analysis revealed a total of 24,391 affected structures, of which 7,346 were destroyed, 9,423 severely damaged, and 7,622 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 07 February and 06 January 2017, 19 April 2016, 04 June 2015, 01 January 2014, and 07 September 2013, UNITAR - UNOSAT identified a total of 1,503 affected structures within the city. Approximately 224 of these were destroyed, 498 severely damaged, and 781 moderately damaged. While some of the city was damaged by 19 April 2016, 419 structures were newly damaged and 7 structures experienced an increase in damage between that date and 07 February 2017. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage to infrastructure and roads in the city of Ar Raqqa, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Ar Raqqa in 2017. Using satellite imagery acquired 21 October 2017, UNITAR - UNOSAT identified 5 destroyed bridges, 74 damaged road segments and 94 visible impact craters affecting roads. Approximately 159 structures corresponding to educational facilities, and 26 structures likely related to health facilities are also affected. UNOSAT analysis shows that 8 water towers are completely destroyed and there is damage to one electric substation and a sewage treatment facility. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like water towers. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 06 April 2015, 02 May 2014, 15 September 2013, and 22 March 2010 UNITAR - UNOSAT identified a total of 545 affected structures within the city. Approximately 176 of these were destroyed, 180 severely damaged, and 189 moderately damaged. While much of the city was damaged by 02 May 2014, 249 structures were newly damaged and 5 structures experienced an increase in damage between that date and 06 April 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 16 April 2016, 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 1180 affected structures, of which 217 were destroyed, 400 severely damaged, and 563 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 04 June 2015 and 190 structures are newly damaged. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 990 affected structures, of which 152 were destroyed, 358 severely damaged, and 480 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 1 May 2014 and approximately 618 structures are newly damaged. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,224 affected structures, of which 4,664 were destroyed, 215 severely damaged, and 345 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Gridded raster of the spatial distribution of population in Syria for 2020. Cell values represent population counts. Published by WorldPop (University of Southampton).

Gridded population data for the Syrian Arab Republic, published by WorldPop (University of Southampton). Each raster cell measures the spatial distribution of population, with a reference date of 2030.

Eight spatial layer of Syria power line and generator and power plant and substation. Two spatial layer of Syria Natural Water and waterway dam. Four spatial layer of Syria highway /motorway / link /primary / trunk.

Gridded population data for the Syrian Arab Republic, published by WorldPop (University of Southampton). Each raster cell holds a population value, distributed across a 1km grid. The data covers the year 2030.

Date of Images: Post-Event: 2/7/2023, 2/9/2023, 2/11/2023, 2/12/2023, 2/14/2023, 2/19/2023, 2/20/2023, 2/21/2023, 2/22/2023, 2/23/2023 Pre-Event: None Date of Next Image: Unknown Summary: The Natural Color RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument. Suggested Use: For the Natural Color RGB, areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow covered areas in cyan. Satellite/Sensor: Landsat 8 Operational Land Imager (OLI) Landsat 9 Operational Land Imager-2 (OLI-2) Resolution: 30 meters Credits: NASA/MSFC, USGS Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=d55a0695be0847419888c9e8eb5741d7 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_landsat/ImageServer/WMSServer

A gridded raster showing the spatial distribution of population in Syria for 2020. Each cell value represents the estimated number of people in that location. Published by WorldPop (University of Southampton).