• This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-2 satellite on 04 May 2017, UNOSAT located 1,396 probable shelters. This is a 10% decrease in shelters since the previous UNOSAT analysis done using an image collected 04 March 2017 and a 28% decrease since the 14 May 2016 analysis. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    100+ Downloads
    This dataset updates: Never
  • 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.
    50+ Downloads
    This dataset updates: Live
  • This map illustrates satellite-detected damage 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 936 affected structures within the extent of this map. Approximately 122 of these were destroyed, 355 severely damaged, and 459 moderately damaged. The city-wide analysis of Daraa revealed a total of 966 affected structures, of which 133 were destroyed, 365 severely damaged, and 468 moderately damaged. Trend analysis shows an important increase in the number of damaged structures since 01 May 2014 and more than 600 structures are newly damaged. This analysis was done 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.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected damage 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 544 affected structures within the city. Approximately 176 of these were destroyed, 179 severely damaged, and 189 moderately damaged. While much of the city was damaged by 02 May 2014, 248 structures were newly damaged and 05 structures experienced an increase in damage between that date and 06 April 2015. This analysis was done 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.
    20+ Downloads
    This dataset updates: Never
  • This data illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 13 July 2016, UNOSAT located 2,132 probable shelters. This is a 9% increase in shelters since the previous UNOSAT analysis done using an image collected 14 May 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously.
    60+ Downloads
    This dataset updates: Never
  • This map illustrates the location of damaged buildings and cultural heritage locations in the Ancient City of Palmyra, Syrian Arab Republic as determined by satellite imagery analysis. Using satellite imagery acquired 30 March 2016, 18 October 2015, and 26 June 2015 UNITAR-UNOSAT identified a total of 37 damaged structures within the Ancient City of Palmyra, of which 14 are destroyed, 8 are severely damaged, and 15 are moderately damaged. The majority of these damaged structures are in the vicinity of the Valley of the Tombs and the Necropolis, west and southwest of Palmyra. Additionally, satellite imagery analysis identified a total of 59 craters in the same area, an indicator of the level of fighting in the area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    30+ Downloads
    This dataset updates: Never
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 10 January 2018, UNOSAT located 10,418 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 6.5 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 21 September 2017. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    30+ Downloads
    This dataset updates: Live
  • This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 13 July 2016, UNOSAT located 2,132 probable shelters. This is a 9% increase in shelters since the previous UNOSAT analysis done using an image collected 14 May 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    30+ Downloads
    This dataset updates: Never
  • This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-2 satellite on 14 May 2016, UNOSAT located 1,960 probable shelters within the 76.5 ha of the camp. This is a 4.9% increase in shelters since the previous UNOSAT analysis done using an image collected 29 April 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    20+ Downloads
    This dataset updates: Never
  • This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 29 April 2016, UNOSAT located 1,869 probable shelters within the 76.5 ha of the camp. This is a 587% increase in shelters since the previous UNOSAT analysis done using an image collected 29 January 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Pleiades satellite on 02 September 2016, UNOSAT located 8,295 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 26 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 25 July 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    30+ Downloads
    This dataset updates: Never
  • 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.
    20+ Downloads
    This dataset updates: Never
  • 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.
    60+ Downloads
    This dataset updates: Never
  • 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.
    20+ Downloads
    This dataset updates: Never
  • 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.
    10+ Downloads
    This dataset updates: Live
  • 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.
    30+ Downloads
    This dataset updates: Live
  • This map illustrates satellite-detected damage in a portion of the city of Ar Raqqa, Syrian Arab Republic. Using satellite imagery acquired 29 May 2015, 12 February 2014, 22 October 2013, and 16 April 2011, UNITAR - UNOSAT identified a total of 1,336 affected structures within the extent of this map. Approximately 678 of these were destroyed, 215 severely damaged, and 443 moderately damaged. The city-wide analysis of Ar Raqqa revealed a total of 1,601 affected structures, of which 842 were destroyed, 251 severely damaged, and 508 moderately damaged. While some of the city was damaged by 12 February 2014, 1,203 structures were newly damaged and 11 structures experienced an increase in damage between that date and 29 May 2015. This analysis was done 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.
    30+ Downloads
    This dataset updates: Never
  • 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.
    20+ Downloads
    This dataset updates: Never
  • UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Akkar, Tartous and Homs Governorates, in Lebanon and Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 549 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    20+ Downloads
    This dataset updates: Never
  • 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.
    20+ Downloads
    This dataset updates: Never
  • This map illustrates the location of damaged structures in the cities of Tadmur and Al-Amiriyah in the Syrian Arab Republic. Using satellite imagery acquired 30 March 2016, 18 October 2015, 27 August 2015, and 26 June 2015, UNITAR-UNOSAT identified a total of 611 damaged structures. Of these, 29 were destroyed, 103 severely damaged, and 479 moderately damaged. Additionally, a total of 66 craters were identified in the same area, an indicator of the level of fighting in these cities. Note that due to the nature of the combat and imagery quality it is likely that some minor and moderate damage has not been detected. UNITAR-UNOSAT will update this analysis as new imagery becomes available. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • 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.
    10+ Downloads
    This dataset updates: Every year
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Demios-2 satellite on 25 July 2016, UNOSAT located 6,563 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 17 percent decrease in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 24 June 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Demios-2 satellite on 26 June 2016, UNOSAT located 7,925 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 24 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 23 May 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the GeoEye-1 satellite on 23 May 2016, UNOSAT located 6,416 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 5.1 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 24 April 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never