UN Operational Satellite Applications Programme (UNOSAT)
Last updated on January 22, 2018
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  • 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.
  • This map illustrates satellite-detected water extent as of 09 January 2018 over Soaneriana Ivongo district, Analanjirofo region, in Madagascar as detected by Radarsat-2. Limited standing waters can be observed in the area. These zones are mainly agricultural and/or swamps. These waters are the results of recent heavy rains following the cyclone AVA-18 which made landfall the 05 January 2018. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas, due to the special characteristics of the satellite data used. 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 water extent as of 07 January 2018 over Toamasina districts, Atsinanana Region, in Madagascar as detected by Sentinel-1. Some standing water areas could be observed north and south of Toamasina, mainly in the agricultural and/or open areas along the river. It is likely that floodwaters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. 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 water extent as of 07 January 2018 over Mananjary district, Vatovavy-Fitovinany region, in Madagascar as detected by Sentinel-1. ~ 1000 ha of land over the communes of Tsiatosika and ~1300 ha in Ankatafana seem to be inundated. These zones are mainly agricultural and/or swamps. These waters are the results of recent heavy rains following the cyclone AVA-18 which made landfall the 05 January 2018. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas, due to the special characteristics of the satellite data used. 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 water extent as of 07 January 2018 over Vohipeno & Manakara Atsimo districs, Vatovavy Fitovinary Region, in Madagascar as detected by Sentinel-1. As of 07 January 2018. Several communes of these districts seem to be affected by inundations due to to the heavy rains that have followed the cyclone AVA-18. ~1,000 ha of lands appear to be likely affected in Vohitrindry, ~ 800 ha in Lanovo and ~400 ha in Vohilany communes. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. 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 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 the satellite-detected surface waters extent in Ho Chi Minh City area and surroundings, as observed from the Radarsat-2 SAR image acquired on 18 December 2017. In the analysed area (~3000 km2) about 5,400 ha of lands, mainly agricultural and paddy fields are likely flooded. In addition, using WorldPop data, we can estimate that ~220,000 people are living within flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. 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 damaged and potentially damaged buildings and the related density of damage in the areas north of Sarpol-e-Zahab county in Kermanshah province, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate damage across several localities and villages in this zone and about 3300 structures were identified as potentially damaged (e.g. 362 in Koeeke Hasan; 148 in Tapamaran and 98 in Jaberi). 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 damaged and potentially damaged buildings in the town of Koeeke Hasan, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate intense damage across the whole town, particularly in Koeeke Hasan, Koeeke Aziz and Koeeke Mahmod. A total of 1174 structures have been identified as damaged or collapesed across the area extent represented here. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates potentially damaged structures/buildings and related density in Sarpol-e-Zahab, Kermanshah, Iran as detected by a Pleiades satellite image acquired on 16 November 2017. The UNITAR-UNOSAT analysis identified 683 damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap (~9700 structures), this represents about 7 % of the total number of structures within Sarpol-e-Zahab. The damage density highlights that the neighbourhood of Maskane Mahar and the area around the Post Office are amongst the most affected zones. 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.
  • Satellite Data (1): Pleiades Imagery Dates: 16 November 2017 Resolution: 50 cm Copyright: CNES 2017, distribution AIRBUS Defense and Space Source: Airbus Defense and Space Satellite Data (2): Resurs-P Imagery Dates: 14 November 2017 Resolution:1m Copyright: Roscosmos Source: Roscosomos Baseline Data: GADM, OpenStreetMap Analysis :UNITAR - UNOSAT/Iranian Space Agency Production: 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 the satellite-detected surface waters in Phu Yen Province, Vietnam, as detected from Sentinel-1 image acquired on 10 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. In the analysed area, about 19,000 ha of lands are likely flooded. It represents an increase of about 100% of the surface waters in this zone. In addition, and according to WorldPop data ~39,000 people are living within the potentially flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.