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  • Updated 28 June 2022 | Dataset date: June 15, 2022-June 15, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based damage analysis within an area of interest (AOI) in the residential area of Mariupol City, Ukraine. Based on imagery collected on 7, 8, 12 May 2022 and 14 March 2022, and 21 June 2021, analysts found that 5,647 structures sustained visible damage in the AOI. This represents approximately 32% of the structures. Out of these, 315 are destroyed, 2,132 severely damaged, 3,002 moderately damaged and 194 possibly damaged. Compared to the 14 March 2022 analysis, 5% of previously affected buildings sustained additional damage, and the total damage has increased by 28%, with 4,910 new damaged buildings. While no complete count of buildings for Mariupol is available, an open source dataset, which is visibly incomplete indicates at least 17,568 structures in the area. This analysis is based on structures visibly damaged as of 12, 8, 7 May 2022 and 14 March 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Updated 28 June 2022 | Dataset date: May 16, 2022-May 16, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment in the city of Borodyanka. Based on imagery collected on 2 May 2022, analysis show that 164 structures sustained damage visible in the satellite imagery. Out of these, 42 are destroyed, 52 severely damaged, 60 moderately damaged and 10 possibly damaged. While no complete count of buildings for Borodyanka is available, an open source dataset which is visibly incomplete indicates at least 1538 structures in the area. This analysis is based on structures visibly damaged as of 2 May 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 28 June 2022 | Dataset date: May 07, 2022-May 07, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest in Vorzel. Based on imagery collected on 31 March 2022, analysis shows that 18 structures sustained damage visible in the satellite imagery. Out of these, 2 are destroyed, 8 severely damaged, 5 moderately damaged and 3 possibly damaged. While no complete count of buildings for Vorzel is available, an open source dataset which is visibly incomplete indicates at least 324 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 28 June 2022 | Dataset date: May 19, 2022-May 19, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment in the city of Chernihiv. Based on imagery collected on 28 April 2022, analysis show that 974 structures sustained damage visible in the satellite imagery. Out of these, 258 are destroyed, 362 severely damaged, 252 moderately damaged and 102 possibly damaged. While no complete count of buildings for Chernihiv is available, an open source dataset which is visibly incomplete indicates at least 17,383 structures in the area. This analysis is based on structures visibly damaged as of 28 April 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 28 June 2022 | Dataset date: May 04, 2022-May 04, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest in northeast Kharkiv. Based on imagery collected on 24 April 2022, analysis show that 489 structures sustained damage visible in the satellite imagery. Out of these, 45 are destroyed, 149 severely damaged, 236 moderately damaged and 59 possibly damaged. While no complete count of buildings for Kharkiv is available, an open source dataset which is visibly incomplete indicates at least 18,200 structures in the area. This analysis is based on structures visibly damaged as of 24 April 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 28 June 2022 | Dataset date: April 28, 2022-April 28, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based damage analysis within the Azovstal industrial site of Mariupol City, Ukraine. Using imagery collected on 25 April 2022 and 21 June 2021, analysts found that 220 out of 294 structures sustained visible damage in the area of interest (AOI). This represents approximately 75% of them. Out of these, 50 are destroyed, 54 severely damaged, 101 moderately damaged and 15 possibly damaged. In addition, 214 impact craters have also been identified. This analysis is based on damage visible as of 25 April 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Updated 28 June 2022 | Dataset date: April 26, 2022-April 26, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest including Hostomel City, Ukraine, and the area of Antonov Airport. Based on imagery collected on 31 March 2022 and 20 February 2022, analysis show that 865 structures sustained damage visible in the satellite imagery. Out of these, 260 are destroyed, 138 severely damaged, 397 moderately damaged and 70 possibly damaged. While no complete count of buildings for Hostomel is available an open source dataset which is visibly incomplete indicates at least 3,116 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 10 May 2022 | Dataset date: October 22, 2021-April 01, 2022
    This dataset updates: As needed
    This data sets contains a shapefile with the building footprint of Wad Sherifey Refugee Settlement, Kassala, Sudan. Wad Sherifey is a refugee camp located in the East of Sudan along the Mareb River. During the past year refugees fleeing from conflict have arrived and settled in the area, partly within flood prone areas of the Mareb River. Already vulnerable and displaced, now additionally facing the risk of floods. Actors like the Red Cross Red Crescent Climate Centre and MFS manage projects in this region, and OSM data sets like this support the expansion of anticipatory action (acting before a disaster happens www.anticipation-hub.org/) to those most affected by conflict and climate. The area was selected for OSM mapping through a methodology to identify & prioritize high-risk and unmapped areas within a country for OSM mapping (StoryMap: https://arcg.is/1eqOXj) The data was collected through an HOT OSM task (https://tasks.hotosm.org/projects/11685), which was created in collaboration with MFS and led by the Netherland Red Cross’ Missing Maps Team. The task was completed (mapped & validated) in April 2022. The satellite imagery used for the mapping was from late August 2021 and provided by MFS.
  • 50+ Downloads
    Updated 22 April 2022 | Dataset date: March 18, 2022-March 18, 2022
    This dataset updates: As needed
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based damage analysis within an area of interest (AOI) in the residential area of Mariupol City, Ukraine. Based on imagery collected on 14 March 2022 and 21 June 2021, analysts found that 773 out of 17,594 structures sustained visible damage in the AOI. This represents approximately 4% of the structures. Out of these, 62 are destroyed, 315 severely damaged, 321 moderately damaged and 75 possibly damaged. This includes 8 schools and 4 health facilities. This analysis is based on structures visibly damaged as of 14 March 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Updated 18 April 2022 | Dataset date: March 16, 2021-April 01, 2021
    This data is by request only
    Rapid Assessment Regarding Communication and Information Needs During Natural Disasters and Covid-19 in Afghanistan April,2020 and April 2021
  • 10+ Downloads
    Updated 18 April 2022 | Dataset date: March 16, 2021-April 01, 2021
    This dataset updates: As needed
    Rapid Assessment Regarding Communication and Information Needs During Natural Disasters
  • 40+ Downloads
    Updated 15 April 2022 | Dataset date: April 14, 2022-April 14, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment in Irpin City, Ukraine. Based on imagery collected on 31 March 2022, analysts found that 1,060 structures sustained damage visible on the satellite imagery. Out of these, 115 are destroyed, 698 severely damaged, 187 moderately damaged and 60 possibly damaged. This includes 4 education facilities and 3 health facilities. While no complete count of buildings for Irpin is available, an open source dataset which is visibly incomplete indicates at least 3,732 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally cloudy satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 30+ Downloads
    Updated 12 April 2022 | Dataset date: April 12, 2022-April 12, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Building Damage Assessment (RBDA) in Kotsiubynske and the western part of Kyiv City, Kyiv Oblast, Ukraine. The RBDA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022 and on 25 March 2022, analysts found that 66 out of 4672 cells in western Kyiv sustained visible damage. This represents approximately 1.4% of the cells over the area. This analysis is based on structures visibly damaged as of 31 March 2022 and 25 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Updated 12 April 2022 | Dataset date: April 11, 2022-April 11, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in the Horenka, Kyiv region, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 51 cells out of 66 cells in Horenka sustained visible damage. This represents approximately 77% of the cells over the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Updated 11 April 2022 | Dataset date: April 08, 2022-April 08, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest (AOI) including Bucha City, Ukraine, and a small area on the western edge. Based on imagery collected on 31 March 2022 and 20 February 2022, analysts found that 147 structures sustained damage visible in the satellite imagery. Out of these, 19 are destroyed, 72 severely damaged, 27 moderately damaged and 29 possibly damaged. This includes 3 health facilities. While no complete count of buildings for Bucha is available an open source dataset which is visibly incomplete indicates at least 2,373 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Updated 8 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in Irpin City, Kyiv Oblast, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 176 cells out of 246 in the City of Irpin sustained visible damage. This represents approximately 71% of the cells over the city. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Updated 7 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in Hostomel City, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 125 cells out of 217 in the City of Hostomel sustained visible damage. This represents approximately 58% of the cells over the city. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Updated 6 April 2022 | Dataset date: April 06, 2022-April 06, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in Donetsk City, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 18 and 26 March 2022, analysts found that 6 cells out of 3507 in the City of Donetsk sustained visible damage. This represents 0.17% of the cells over the city. This does not include damage occurring before the current ongoing conflict. This analysis is based on structures visibly damaged as of 18 and 26 March 2022 as seen in moderately degraded satellite imagery affected by precipitation, seasonality, and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Updated 6 April 2022 | Dataset date: April 06, 2022-April 06, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in the Bucha City, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 82 cells out of 305 cells in the City of Bucha sustained visible damage. This represents approximately 27% of the cells over the city. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 40+ Downloads
    Updated 6 April 2022 | Dataset date: April 05, 2022-April 05, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery- based Rapid Damage Building Assessment (RDBA) of the Mariupolska Hromada, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 03 April 2022, analysts found that 767 cells out of 3,459 sustained visible damage. This represents approximately 22% of the cells over the Hromada. This represents an increase of 6 percentage points since 26 March 2022. Note that not all 3,459 cells include buildings. Numerous craters are also visible in the fields but were not taken into account for this analysis. This analysis is based on structures visibly damaged as of 03 April 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 100+ Downloads
    Updated 4 April 2022 | Dataset date: March 30, 2022-March 30, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagerybased Rapid Damage Building Assessment (RDBA) in the North of Kharkiv, Ukraine. The RDBA divides the area of interest into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 21, 22 and 23 March 2022, analysts found that 72 cells out of 1,866 cells in the North of Kharkiv sustained visible damage. This represents approximately 4% of the cells over the city. This analysis is based on structures visibly damaged as of 21, 22 and 23 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 90+ Downloads
    Updated 4 April 2022 | Dataset date: March 30, 2022-March 30, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based Rapid Damage Building Assessment (RDBA) in Sumy City, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 20 and 22 March 2022, analysts found that 5 cells out of 1,111 cells sustained visible damage. This represents approximately 0.4% of the cells over the city. This analysis is based on structures visibly damaged as of 20 and 22 March 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Updated 4 April 2022 | Dataset date: April 03, 2022-April 03, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery- based Rapid Damage Building Assessment (RDBA) of a 2 km buffer zone on either side of the national highway H20 connecting Mariupol City and Donetsk City, in Donetska Oblast, Ukraine. The RDBA divides the area of interest (AOI) into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 23 and 26 March 2022, analysts found that 66 cells out of 2,869 cells near the national highway H20 connecting Mariupol City and Donetsk City sustained visible damage. This represents approximately 2,3% of the cells of the AOI. The most affected populated places are Volnovakha, Novotroitske and Berezove. This analysis is based on structures visibly damaged as of 23 and 26 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Updated 4 April 2022 | Dataset date: April 01, 2022-April 01, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) of the Mariupolska Hromada, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 26 March 2022, analysts found that 556 cells out of 3,456 sustained visible damage. This represents approximately 16% of the cells over the Hromada. Note that not all 6,456 cells include buildings. Numerous craters are also visible in the fields but were not taken into account for this analysis. This analysis is based on structures visibly damaged as of 26 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Updated 4 April 2022 | Dataset date: April 03, 2022-April 03, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery- based Rapid Damage Building Assessment (RDBA) in the Chernihiv City, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 22 March 2022, analysts found that 191 cells out of 901 cells in the City of Chernihiv sustained visible damage. This represents approximately 21% of the cells over the city. This analysis is based on structures visibly damaged as of 22 March 2022. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).