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  • This map illustrates satellite-detected potential damage following Cyclone Chapala in western Socotra Island, Socotra Governorate, Yemen. Using satellite imagery acquired 04 November 2015 compared with imagery from 27 October 2015, 10 and 23 September 2015, UNITAR-UNOSAT analyzed an area of approximately 2,157 square kilometers or roughly 59% of the island. A total of 81 potentially damaged structures were identified as of 04 November 2015. Many affected structures and boats were observed near the settlement of Qulansiyah. Detected damage likely reflects an underestimation due to significant cloud obstruction. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • OCHA NAAS
    Updated November 25, 2015 | Dataset date: Nov 9, 2015
    Population exposure estimates for 11 governorates based on the past 25 years flood hazard data for Yemen. Our source of data is Global Assessment Report on Disaster Risk Reduction 2015.
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    • 1100+ Downloads
    • This dataset updates: Never
  • This map illustrates satellite-detected damage and destruction in Jilah village, Shabwah Governorate, Yemen. Using satellite imagery acquired 5 November 2015 and comparing with imagery collected on 22 August 2015, UNITAR - UNOSAT identified an area severely affected by flash flood resulting from rains during Cyclone Chapala. Imagery shows that the town of Jilah is partially covered by mud and a total of 150 structures appear damaged. Approximately 58 of these were destroyed, 57 severely damaged, and 35 moderately damaged. Primary road N4 is also highly affected by mud as a consequence of the flash floods and it is impassable across several sections. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • HDX
    Updated November 25, 2015 | Dataset date: Nov 3, 2015
    Contains previous and forecast positions and windspeeds in a Google Earth KMZ file. Updated every 6 hours.
    • KMZ
    • This dataset updates: Never
  • HDX
    Updated November 25, 2015 | Dataset date: Jan 1, 2010-Dec 31, 2020
    Geotiff datasets for use in spatial modeling and mapping software. Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') with national totals adjusted to match UN population division estimates. More information.
    • geotiff
    • 60+ Downloads
    • This dataset updates: Every year
  • OCHA Yemen
    Updated November 25, 2015 | Dataset date: Apr 30, 2014
    Wadies
  • OCHA Yemen
    Updated November 25, 2015 | Dataset date: Apr 30, 2014
    Sea Ports
  • OCHA Yemen
    Updated November 25, 2015 | Dataset date: Apr 30, 2014
    Roads Network
  • OCHA Yemen
    Updated November 25, 2015 | Dataset date: Jan 1, 2005-Dec 31, 2010
    Health Facilities
  • OCHA Yemen
    Updated November 25, 2015 | Dataset date: Jan 1, 2005-Dec 31, 2010
    Education Facilities
  • This map illustrates satellite-detected damage and destruction in the city of Sana'a, Sana'a Governorate, Yemen. Using satellite imagery acquired 10 and 23 September 2015, as well as 15 May 2015, UNITAR-UNOSAT identified a total of 652 affected structures. Approximately 283 of these were impacted as of 10 and 23 September 2015, with 54 destroyed, 94 severely damaged, and 135 moderately damaged. Previously, using the 15 May 2015 satellite image, UNITAR-UNOSAT had located 369 affected structures, of which 60 were destroyed, 72 severely damaged, and 237 moderately damaged. Additionally, 8 impact craters and 16 areas with significant amounts of debris were observed in September 2015. A total of 7 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. Notably, as of 10 and 23 September 2015, significant reconstruction of structures damaged as of 15 May 2015 was visible across the examined area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • HDX
    Updated November 25, 2015 | Dataset date: Jun 30, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2015 eastafrica201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated November 25, 2015 | Dataset date: Apr 3, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 03, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2015 eastafrica201304_ML2 Most likely food security outcome for April-June 2015 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • This map illustrates satellite-detected damage and destruction in the city of Aden, Aden Governorate, Yemen. Using satellite imagery acquired 21 August 2015, 10 May 2015, and 31 December 2014, UNITAR-UNOSAT identified a total of 839 affected structures, a 30 percent increase from the previous 10 May 2015 analysis. Approximately 356 structures were destroyed, 202 severely damaged, and 270 moderately damaged. Additionally, 50 impact craters were found within the city, the majority of which were located in the vicinity of Aden International Airport. A total of 13 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. 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 destruction in the majority of Taiz, Yemen, as seen by the WorldView-3 satellite on 26 June 2015. UNOSAT identified a total of 328 damaged buildings (54 destroyed, 66 severely damaged, 156 moderately damaged, 52 possibly damaged) as well as 410 areas with significant amounts of debris. A total of 11 health centers are possibly damaged as they are within 100 meters of other destroyed or damaged buildings. This is a preliminary analysis and has not yet been validated in the field. Note that satellite imagery analysis will not capture all damage to buildings and instead only detects significant or catastrophic amounts of structural damage. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage and destruction at Sana'a International Airport, Sana'a Governorate, Yemen. Using satellite imagery acquired 15 May 2015 and 12 December 2014, UNITAR-UNOSAT identified a total of 70 affected structures and transportation vehicles. Approximately 18 of these were destroyed, 32 severely damaged, and 20 moderately damaged. Additionally, 32 impact craters were found. One medical facility was identified within 500 meters of impact craters. 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 the city of Sana'a, Sana'a Governorate, Yemen. Using satellite imagery acquired 15 May 2015, 12 and 31 December 2014, UNITAR-UNOSAT identified a total of 440 affected structures. Approximately 74 of these structures were destroyed, 106 severely damaged, and 260 moderately damaged. Additionally, 35 impact craters were found. A total of four medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. 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 the city of Sadah, Saada Governorate, Yemen. Using satellite imagery acquired 17 May 2015 and 7 January 2015, UNITAR-UNOSAT identified a total of 1,171 affected structures, approximately 273 structures were destroyed, 271 were severely damaged, and 627 were moderately damaged. Additionally, 35 impact craters were found within the city, the majority of which were located along the runway of Sadah City Airport. A total of 4 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. 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 the city of Aden, Aden Governorate, Yemen. Using satellite imagery acquired 10 May 2015, 15 April 2015, and 31 December 2014, UNITAR-UNOSAT identified a total of 642 affected structures, 258 of which were temporarily assembled for a probable open street market. Approximately 327 structures were destroyed, 153 severely damaged, and 162 moderately damaged. Additionally, 38 impact craters were found within the city, the majority of which were located in the vicinity of Aden International Airport. A total of 13 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • WFP - World Food Programme
    Updated November 24, 2015 | Dataset date: May 14, 2015
    The Income Activities dataset includes data on income generation at the household level. Sources of income listed include labor, agriculture, asset sales, and remittances, among others. It is available for 32 countries.
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    • This dataset updates: Every month