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  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected shelters and other buildings at the Gawilan IDP Camp in Ninawa Province, Iraq. This camp is 7.2 kilometres northwest of Aski Kalak town and as of 28 June 2016, a total of 1,609 shelters were detected as well as 1,584 infrastructure and support buildings. Areas of shelters under construction are also visible in the image as of 28 June 2016. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Oct 31, 2016
    This dataset updates: Never
    This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day. Subsequently, on several dates in June small-scale fires burned for durations of less than one day. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number, continuing to the present at that scale. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using 99 MODIS satellite images collected between July 18 and October 24, 2016. Note that as the plume dissipates then areas of thinner smoke are not detected in this process, and thus this analysis indicates only the areas of dense, relatively heavy smoke. The inset on the top right corner shows the thermal data from a Landsat image collected on October 20, indicating the Mosul fires in white. The inset on the top left corner shows the same area in natural color. 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 fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn to the present at that scale. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July and 14 December, 2016. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the thermal data from a Landsat image collected on 7 December, indicating the Mosul fires in white. The inset on the top left corner, from 6 December, shows the same area in false color, displaying the near infrared band in red. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. 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 fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 7 January 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 23 December 2016, indicating the Mosul fires in white. The inset on the top left corner, from 1 January 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 18, 2016-Mar 13, 2017
    This dataset updates: Never
    This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 13 March 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 25 February 2017, indicating the Mosul fires in white. The inset on the top left corner, from 5 March 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 25, 2017
    This dataset updates: Never
    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.
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Nov 27, 2017
    This dataset updates: Live
    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.
  • 50+ Downloads
    Updated May 15, 2019 | Dataset date: Nov 27, 2017
    This dataset updates: Live
    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 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.
  • 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 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 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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 6, 2017
    This dataset updates: Never
    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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 6, 2017
    This dataset updates: Never
    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.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 6, 2017
    This dataset updates: Never
    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.
  • 70+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 26, 2017
    This dataset updates: Never
    This map illustrates satellite-detected fires and environmental damage at and around Al Qayyarah, approximately 60 Km south of Mosul, Iraq. The main frame shows fires and the oil spill as seen in imagery collected between 23 December 2016 and 24 January 2017. Marked in blue are fires that were detected in 23 December 2016 but appear inactive as of 24 January 2017. Insets on the left show the oil spill north of Al Qayyarah, detected with both radar and optical imagery from multiple dates. As seen in the imagery, the oil spill is very close to one of the streams which is incidentally a tributary to the Tigris River; therefore, it is possible that oil is spilling to the river. The spectral signature from thermal imagery also suggest that areas of the oil spill are on fire. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 27, 2017
    This dataset updates: Never
    This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 24 January 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 24 January 2017, indicating the Mosul fires in white. The inset on the top left corner, from 21 January 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 1600+ Downloads
    Updated May 14, 2019 | Dataset date: Mar 1, 2019-Apr 30, 2019
    This dataset updates: Every three months
    The dataset has return location of IDPs & families. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.
  • 3800+ Downloads
    Updated May 14, 2019 | Dataset date: Mar 1, 2019-Apr 30, 2019
    This dataset updates: Every month
    The dataset has displaced location of IDPs & households. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.
  • 500+ Downloads
    Updated April 29, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2017
    This dataset updates: Every year
    This dataset contains agency- and publicly-reported data on sexual violence and abuse against aid workers between January 2015 and December 2017.
  • 700+ Downloads
    Updated January 14, 2019 | Dataset date: Jan 10, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 200+ Downloads
    Updated December 3, 2018 | Dataset date: Jul 30, 2017
    This dataset updates: Every two weeks
    Published twice a month, the Master Lists are the backbone of the DTM in Iraq, and the foundation of the DTM’s monthly report. With the monthly reports, the DTM team releases an information package including various maps and dashboards. Figures published in the monthly DTM Report are also published online and can be accessed here IDPs Returnees Reports IDPs Returnees Reports.
  • Updated April 19, 2018 | Dataset date: May 1, 2016-Oct 31, 2016
    This data is by request only
    Iraq (South and Central) profiling of urban/out of camp IDPs and host populations with data collected between May and October 2016. The exercise covered 9 Governorates with a total sample of 4,094 households (2,126 IDP households and 1,970 local households).
  • 100+ Downloads
    Updated July 10, 2017 | Dataset date: Jun 1, 2016-Jun 30, 2016
    This dataset updates: Never
    Iraq-KRI (Duhok) profiling of urban/out-of-camp IDPs, Syrian refugees, and host populations with data collected during June 2016 (report published September 2016). The exercise included a household survey administered to a sample of 1,205 households (394 IDP, 402 refugee and 409 host households). Data can also be explored through the DART: http://www.dart.jips.org/.
  • 100+ Downloads
    Updated July 10, 2017 | Dataset date: Jun 1, 2016-Jun 30, 2016
    This dataset updates: Never
    Iraq-KRI (Sulaymaniyah) profiling exercise of urban/out-of-camp IDPs, Syrian refugees, and host populations with data collected June 2016 (report published September 2016). The exercise included a household survey administered to a sample of 1,201 households (401 IDP, 401 refugee and 399 host community households). Data can also be explored through the DART: http://www.dart.jips.org/.