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  • This map illustrates satellite-detected structures in the area of the Doro settlement in South Sudan. Using a satellite image collected by the Pleiades satellite on 11 November 2017, UNOSAT located 12,754 structures. Of these, 437 were administrative structures, 652 were improvised shelters, 228 were semi-permanent structures and 11,437 were tent shelters. Doro is located in the north of the country, in Eastern Nile State about 30 km from the border with Sudan. The population in November 2017 was about 58,000 people. 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 structures in the area of the Yusuf Batil settlement in South Sudan. Using a satellite image collected by the Pleiades satellite on 31 October 2017, UNOSAT located 15,970 structures. Of these, 209 were administrative structures, 5,012 were improvised shelters, 70 were semi-permanent structures, and 10,679 were tent shelters. This settlement is located the northern part of the country, in Eastern Nile State, about 40km from the border with Sudan. The population in November 2017 was about 43,000. 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 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 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.
  • This map illustrates areas of satellite detected fires in Buthindaung, Maungdaw, and Rathedaung Townships in the Maungdaw and Sittwe Districts of Rakhine State in Myanmar. Analysis used satellite- fire detections collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on multiple dates from 25 August to 25 November 2017. A total of 171 fires were detected in different areas across Rathedaung, Buthindaung and Maungdaw townships during this period. While fire detections were spread out across the entire period analyzed, some notable clusters occurred on 28 August, 29 August, 3 September, 15 September, 25 September, 9 October, and 6 November, as indicated in the map. Days of peak fire detection occurred on 28 August and 15 September as indicated in the chart. Note that due to cloud cover and satellite overpass times many fires occurring in the area during this period would not have been detected, and are generally only detected if the satellites are overhead while the fire is sufficiently active and clouds are not interfering. 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 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 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.
  • 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 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 Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 4 August 2017, UNITAR - UNOSAT identified a total of 19,888 affected structures within the city. Approximately 4,773 of these were destroyed, 8,233 severely damaged and 6,882 moderately damaged. 115 of the total affected structures are greenhouses. Around 7,620 of the total affected structures are found within the Old City. The inset shows part of the second most heavily impacted area after the Old City, which appears to be the Al-Shafaa district. UNOSAT also assessed the presence of affected bridges and roads: 317 are the damaged locations and 134 of these are caused by visible 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 in Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 4 August 2017, UNITAR - UNOSAT identified a total of 19,888 affected structures within the city. Approximately 4,773 of these were destroyed, 8,233 severely damaged and 6,882 moderately damaged. 115 of the total affected structures are greenhouses. Around 7,620 of the total affected structures are found within the Old City. The inset shows part of the second most heavily impacted area after the Old City, which appears to be the Al-Shafaa district. UNOSAT also assessed the presence of affected bridges and roads: 317 are the damaged locations and 134 of these are caused by visible 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 internally displaced persons shelters in the village tract of Nyaung Pin Gyi, Maungdaw Township, Rakhine State. Using satellite imagery collected on 6 November 2017 UNOSAT identified a total of 457 shelters in a beach area 7 km south of Maungdaw town, next to the mouth of the Naf River between Myanmar and Bangladesh. Several unidentified trucks are observed on the road located adjacent to the internally displaced persons settlement. As of 11 November 2017, 307 shelters were identified which represents a 33 percent decrease from 6 November. Additionally, several likely rafts are observed by the shoreline on 11 November 2017. Additional imagery analysis indicates this settlement began before 6 October and grew quickly, with shelters starting to decrease after 11 November as noted. A smaller camp is located 7 km southeast in the village tract of Ka Nyin Tan Alel Than Kyaw Ka Nyin Tan with approximately 200 shelters as of 11 November 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 areas of satellite-detected destroyed or otherwise damaged settlements in Buthidaung, Maungdaw, and Rathedaung Townships in the Maungdaw and Sittwe Districts of Rakhine State in Myanmar. Analysis used satellite imagery collected on multiple dates between 31 August and 11 October 2017 and encompassed an area of about 4,800 square kilometers. Satellite analysis combined with information on settlement locations in Myanmar indicate that approximately 275 towns and villages were affected. This includes 34 in Buthidaung, 225 in Maungdaw, and 16 in Rathedaung. Note that these locations are indicated on the map though only a sampling are labeled due to the limitations of the map size and scale. Inset graphics show what is likely the village of Hpaw Ti Kaung, destroyed sometime between 16 September and 1 October 2017, with only a few structures and trees undamaged. Continued cloud cover and haze during the period in question means that destruction is likely underestimated in this analysis. 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 destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 160 thousand square meters of destroyed structures occurring between 25 September and 1 October 2017. This represents an increase of approximately 1% since last UNOSAT analysis with imagery collected on 25 September, when more than 20.5 square kilometers of destroyed structures were identified. Additionally, 6 fires were detected within the area between 25 September and 1 October 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 1 October. Finally, heavy cloud cover and haze during the period in question, indicates that destruction and fire detections are likely underestimated in this analysis. 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 destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 400 thousand square meters of destroyed structures occurring between 16 and 25 September 2017. This represents an increase of approximately 2% since last UNOSAT analysis with imagery collected on 16 September, when more than 20 square kilometers of destroyed structures were identified. Additionally, 122 fires were detected within the area between 16 and 25 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 25 September. Finally, heavy cloud cover during the period in question, and on 16 and 25 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. 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 destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 400 thousand square meters of destroyed structures occurring between 16 and 25 September 2017. This represents an increase of approximately 2% since last UNOSAT analysis with imagery collected on 16 September, when more than 20 square kilometers of destroyed structures were identified. Additionally, 122 fires were detected within the area between 16 and 25 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 25 September. Finally, heavy cloud cover during the period in question, and on 16 and 25 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. 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 destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar, as seen in satellite imagery collected on 16 September 2017. The analysis found a total area of more than 20 square kilometers of destroyed structures within the 2,000 square kilometers analyzed. According to other data on town locations it is likely that more than 160 towns are affected within the area analyzed. Additionally, 144 fires were detected within the area between 25 August and 21 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 16 September. Finally, heavy cloud cover during the period in question, and on 16 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. 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 village of Chein Khar Li (Ku Lar), Koe Tan Kauk tract, Rathedaung township, Rakhine state, Myanmar. Using imagery collected on 31 August 2017, and comparing with imagery collected on 16 May 2017, UNOSAT identified 671 destroyed structures whitin the village. Analysis showed visible signs of scorching with darkened soils and burned vegetation. Almost the entire village appears destroyed. 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 Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 18 July 2017, UNITAR - UNOSAT identified a total of 6,981 affected structures within this part of city. This marks an overall increase of 26% in damage affected structures from the previous assessment of the 30 June. Approximately 1,202 of these were destroyed (17% of the total affected buildings), 3,982 severely damaged (57% of the total affected buildings) and 1,797 moderately damaged (26% of the total affected buildings). This marks a 145% increase in destroyed buildings, 4% in moderately damaged buildings and 20% severely damaged buildings from the 30 June assessment. The most heavily impacted areas appear to be the Ras al-Kur (see inset) and the Maydan neighbourhoods. Due to the densely constructed nature of this part of the city, these values might be underestimated. 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 IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 18 August 2016 revealed a total of 8,706 shelters as well as 345 infrastructure and support buildings within the compound. This represents an increase of approximately 2.7 percent in shelters and an increase of roughly 50 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 27 June 2016 satellite imagery. New structures and containers were detected within PoC2 on 27 June 2016, as seen in inset 2. 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 Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 30 June 2017, UNITAR - UNOSAT identified a total of 5,536 affected structures within this part of city. This marks an overall increase of 37% in damage affected structures from the assessment fourteen days prior on 16 June. Approximately 490 of these were destroyed (9% of the total affected buildings), 3,310 severely damaged (60% of the total affected buildings) and 1,736 moderately damaged (31% of the total affected buildings). This marks a 150% increase in destroyed buildings, 0% in moderately damaged buildings and 57% severely damaged buildings from the 16 June assessment. The most heavily impacted area appears to be the Ammu Baqqal neighbourhood (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. 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 Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 16 June 2017, UNITAR - UNOSAT identified a total of 4,040 affected structures within this part of city. This marks an overall increase of 56% in damage affected structures from the assessment five days prior on 11 June. Approximately 196 of these were destroyed (5% of the total affected buildings), 2,107 severely damaged (52% of the total affected buildings) and 1,737 moderately damaged (43% of the total affected buildings). This marks a 28% increase in destroyed buildings, 17% in moderately damaged buildings and 121% severely damaged buildings from the 11 June assessment. The most heavily impacted area appears to be the Bab al-Tub neighbourhood (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. 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 Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 11 June 2017, UNITAR - UNOSAT identified a total of 2,589 affected structures within this part of city. Approximately 153 (6% of the total affected buildings) of these were destroyed, 950 (37% of the total affected buildings) severely damaged and 1,486 (57% of the total affected buildings) moderately damaged. The most heavily impacted location appears to be the Bazaar area (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. 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 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.