Syrian Arab Republic buildings and infrastructure data

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

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

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

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372** This map illustrates the potentially damaged structures/buildings affected by the 10h of February 2023 earthquake in Jindires and in the surrounding area in Afrin district (Aleppo governorate), Syria as detected from a Pleiades very highresolution satellite image acquired on 10 February 2023. Within the 17 locations (including the city of Jindires), UNOSAT identified 310 damaged structures and 470 potentially damaged. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Al Bab and in Al Bab district (Aleppo governorate), Syria as detected from a Pleiades very high resolution satellite image acquired on 11 February 2023. UNOSAT identified 16 damaged structures and 85 potentially damaged. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in the northern parts of Jableh, (Latakia Governorate) in Syria as detected by using a Pleiades very high resolution satellite image acquired on 9 February 2023. Within analyzed area, UNOSAT identified 43 damaged/potentially damaged structures. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Idlib, Syria as detected by using a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within Idlib, UNOSAT identified 79 damaged/potentially damaged structures. Important note: Damage caused by the earthquake may be underestimated due to the existence of damaged structures before the 06th of February 2023 Marash/Antep earthquake. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Al Bab and surrounding areas of Qabasin and Bza'a in Aleppo governorate as detected from a Pleiades very high-resolution satellite image acquired on 11 February 2023. Within the analyzed area, UNOSAT identified 37 damaged structures and 168 potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).Centre (UNOSAT).

This map illustrates satellite-detected damage density 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 4,595 affected structures within the city. Approximately 786 of these were destroyed, 1,386 severely damaged, and 2,423 moderately damaged. While much of the city was damaged by 10 May 2015, 1,344 structures were newly damaged and 67 structures experienced an increase in damage between that date and 25 May 2016. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Lilawa Village, Jarablus District, Aleppo Governorate, Syria as detected by a Worldview-3 Very high-resolution satellite image acquired on 7 February 2023. Within this village, UNOSAT identified 30 damaged structures and 68 potentially damaged structures. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Jisr al-Shughur City, (Idleb Governorate) in Syria as detected by using a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within analyzed area, UNOSAT identified 75 damaged/potentially damaged structures. 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 damage in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 9 November 2017, 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 6,348 affected structures within the city. Approximately 1,144 of these were destroyed, 2,348 severely damaged, and 2,856 moderately damaged. While much of the city was damaged by 25 May 2016, 1,859 structures were newly damaged and 386 structures experienced an increase in damage between that date and 9 November 2017. This analysis does not include pre-war military bases and facilities. 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 Ar Raqqa, Syrian Arab Republic. Using satellite imagery acquired 21 October 2017, 03 February 2017, 29 May 2015, 12 February 2014, 22 October 2013, UNITAR - UNOSAT identified a total of 12,668 affected structures within the city. Approximately 3,289 of these were destroyed, 3,924 severely damaged, and 5,455 moderately damaged. While some damaged was present by 3 February, most of the damaged occured between that date and 21 October 2017 when 10,991 structures were newly damaged and 64 structures experienced an increase in damage.This analysis does not include pre-war military bases and facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372** This map illustrates the Potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Azaz City (Aleppo governorate) in Syria as detected from a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within the analyzed area of about 30km2, UNOSAT identified 18 damaged structures and 73 potentially damaged. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Jableh City, Jableh District, Latakia province, Syria as detected by a Pléiades very high-resolution satellite image acquired on 9 February 2023. Within this analyzed area, UNOSAT identified 30 damaged structures and 75 potentially damaged structures. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Salqin, (Idlib Governorate) in Syria as detected by using a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within analyzed area, UNOSAT identified 96 damaged/potentially damaged structures. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Zayzafun (Aykadah) village, A'zaz District, Aleppo Governorate, Syria as detected by a Worldview-3 Very high-resolution satellite image acquired on 7 February 2023. Within this village, UNOSAT identified 33 damaged structures and 25 potentially damaged structures. 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 damage to infrastructure and roads in a portion of the city of Deir Ez Zor, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Deir Ez Zor in 2017. Using satellite imagery acquired 9 November 2017, UNITAR - UNOSAT identified 6 destroyed bridges, 54 damaged road segments and 93 visible impact craters affecting roads. Approximately 169 structures corresponding to educational facilities, and 21 structures likely related to health facilities are also affected. UNOSAT analysis shows that there are 3 destroyed electricity towers south of the city. 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 towers. 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 a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 9 November 2017, 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 6,348 affected structures within the city. Approximately 1,144 of these were destroyed, 2,348 severely damaged, and 2,856 moderately damaged. While much of the city was damaged by 25 May 2016, 1,859 structures were newly damaged and 386 structures experienced an increase in damage between that date and 9 November 2017. This analysis does not include pre-war military bases and facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372** This map illustrates the potentially damaged structures/buildings affected by the 06th of February 2023 earthquake in Jindires in Afrin distric (Aleppo governorate), Syria as detected from a Pleiades very high-resolution satellite image acquired on 11 February 2023. Within the city of Jindires, UNOSAT identified 228 damaged structures and 318 potentially damaged. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Killi in Idlib district (Aleppo governorate), Syria as detected from a Pleiades very highresolution satellite image acquired on 16 February 2023. UNOSAT 11 potentially damaged structures. 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 EQ20230206SYR, GDACS Id: 1357372** This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Istamo Village, (Al-Qardaha Districts, Latakia Governorate) in Syria as detected by using a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within analyzed area, UNOSAT identified 62 damaged/potentially damaged structures. 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 damage in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 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 in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 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 and destruction in a portion of 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 density of satellite-detected shelters and other buildings at the Qah Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 18,547 shelters were detected as well as 333 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 73% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 10,898 and the number of infrastructure and support buildings was 48 within the same area.The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

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. Based on this analysis and in the map extent, in 19 neighborhoods the number of damaged buildings is more than 40%. The most damaged is Al Aqabeh with 65.61% of buildings damaged and the most significant change since UNOSAT’s 2015 analysis is Khalidiyeh, which increased in percentage damage from 4.20% to 55.80%. 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 density of satellite-detected shelters and other buildings at the Atmeh Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 14,569 shelters were detected as well as 217 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 88% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 7,684 and the number of infrastructure and support buildings was 171 within the same area. The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates the refugee settlement in Al Azraq, Jordan as seen by the WorldView-3 satellite on 30 June 2016. Analysis by UNITAR-UNOSAT of the satellite image indicates a total of 14,609 visible structures. This includes 4,389 infrastructure and support buildings as well as 10,220 shelters. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 5 October 2015 detected a total of 14,227 infrastructure, support buildings and shelters. This is an increase of approximately 2.7%. 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 shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 30 June 2016 a total of 25,815 shelters were detected as well as 1,879 infrastructure and support buildings within the 534 hectares of the camp. Between 12 October 2015 and 30 June 2016 a total of 2,568 shelters were constructed, with even more removed, indicating an approximate 4.26% decrease in the number of shelters between 12 October 2015 and 30 June 2016. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Shelters grouped under plastic sheeting were estimated by average household size and may be a source of error. Please send ground feedback to UNITAR-UNOSAT.

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.

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.