United Nations Satellite Centre (UNOSAT)

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  • Updated 9 September 2017 | Dataset date: September 07, 2017-September 07, 2017
    Population exposure estimates based on tropical cyclone IRMA-17 path observed and predicted at 7 September 2017.
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    This dataset updates: Every week
  • 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).
    20+ Downloads
    This dataset updates: As needed
  • Updated 15 April 2022 | Dataset date: April 14, 2022-April 14, 2022
    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
    This dataset updates: Never
  • Updated 12 April 2022 | Dataset date: April 12, 2022-April 12, 2022
    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
    This dataset updates: Never
  • Updated 12 April 2022 | Dataset date: April 11, 2022-April 11, 2022
    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).
    This dataset updates: Never
  • Updated 11 April 2022 | Dataset date: April 08, 2022-April 08, 2022
    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).
    10+ Downloads
    This dataset updates: Never
  • Updated 8 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    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).
    10+ Downloads
    This dataset updates: Never
  • Updated 7 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    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).
    This dataset updates: Never
  • Updated 6 April 2022 | Dataset date: April 06, 2022-April 06, 2022
    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).
    10+ Downloads
    This dataset updates: Never
  • Updated 6 April 2022 | Dataset date: April 06, 2022-April 06, 2022
    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).
    10+ Downloads
    This dataset updates: Never
  • Updated 6 April 2022 | Dataset date: April 05, 2022-April 05, 2022
    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).
    30+ Downloads
    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).
    This dataset updates: Never
  • Updated 4 April 2022 | Dataset date: April 03, 2022-April 03, 2022
    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).
    This dataset updates: Never
  • Updated 4 April 2022 | Dataset date: March 30, 2022-March 30, 2022
    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).
    80+ Downloads
    This dataset updates: Never
  • Updated 4 April 2022 | Dataset date: March 30, 2022-March 30, 2022
    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).
    70+ Downloads
    This dataset updates: Never
  • Updated 4 April 2022 | Dataset date: April 01, 2022-April 01, 2022
    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
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ This map illustrates satellite-detected surface waters in Maganja Da Costa, Namacurra & Nicoadala Districts, Zambezia Province, Mozambique as observed from a TerraSAR-X image acquired on 22 March 2022 at 05:01 local time. Within the analyzed area of about 6,174 km2, about 496 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 49,100 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ This map illustrates satellite-detected surface waters in Nante, Macuze & Namacurra posto, Zambezia Province, Mozambique as observed from a TerraSAR-X image acquired on 16 March 2022 at 05:10 local time. Within the analyzed area of about 12,400 ha, about 3,180 ha of lands appear to be flooded. Based on GRID3 settlement extent data and the detected surface waters, about 60 ha of the urban area is potentially exposed to floodwaters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ This map illustrates satellite-detected surface waters in Maganja Da Costa, Namacurra & Nicoadala Districts, Zambezia Province, Mozambique as observed from a Sentinel-1 image acquired on 17 March 2022 at 05:00 local time. Within the analyzed area of about 6,970 km2, about 442 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 36,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ Este mapa ilustra água superficias detectadas por satélite nos distritos de Mossuril, Mogincual e Liúpo, Província de Nampula em Moçambique, no dia 15 de março, 2022, as 05:10 hora local. Dentro da área analisada de cerca de 1485 km2, um total de 237 km2 aparece inundada. Baseado nos dados de população do Worldpop e na águas superficiais, cerca de 22,620 pessoas estão potencialmente expostos ou vivem perto das áreas inundadas. Esto sao análises preliminar e ainda não foram verificados no terreno. Por favor, envie comentários para o Centro de Satélites das Nações Unidas (UNOSAT). Nota importante: Análises de inundaçãoes a partir de imagens radar podem subestimar a presença de águas acumuladas em áreas construídas e áreas de vegetação densa devido às propriedades de retrodifusão do sinal radar.
    This dataset updates: Never
  • UNOSAT code: FL20220314SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 March 2022 compared with the period from 05 to 09 March 2022. Within the cloud free analyzed areas of about 628,000 km2, a total of about 11,400 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 12,000 km2 since the period between 05 to 09 March 2022. Based on Worldpop population data and the maximal flood water coverage, ~277,000 people are potentially exposed or living close to flooded areas. 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).
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ This map illustrates satellite-detected surface waters in Maganja da Costa, Moaquival and Namacurra Districts, Nampula Province, Mozambique as observed from a RCM-1 image acquired on 15 March 2022 at 05:10 local time. Within the analyzed area of about 1500 km2, about 237 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 22,600 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ Este mapa ilustra água superficias detectadas por satélite nos distritos de Mossuril, Mogincual e Liúpo, Província de Nampula em Moçambique, no dia 13 de março, 2022, as 17:44 hora local. Dentro da área analisada de cerca de 14,000 km2, um total de 110 km2 aparece inundada. Baseado nos dados de população do Worldpop e na águas superficiais, cerca de 12,000 pessoas estão potencialmente expostos ou vivem perto das áreas inundadas. Esto sao análises preliminar e ainda não foram verificados no terreno. Por favor, envie comentários United Nations Satellite Centre (UNOSAT). Nota importante: Análises de inundaçãoes a partir de imagens radar podem subestimar a presença de águas acumuladas em áreas construídas e áreas de vegetação densa devido às propriedades de retrodifusão do sinal radar.
    This dataset updates: Never
  • UNOSAT code: TC20220311MOZ This map illustrates satellite-detected surface waters in Mossuril, Mogincual and Liúpo Districts, Nampula Province, Mozambique as observed from a Sentinel-1 image acquired on 13 February 2022 at 17:44 local time. Within the analyzed area of about 14,000 km2, about 110 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 12,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
    This dataset updates: Never
  • UNOSAT code: LS20220308IDN This map illustrates satellite-detected landslides in Mount Talakmau, Pasaman & Pasaman Barat dsitricts, Indonesia as observed from a Sentinel-2 satellite imagery acquired on 04 March 2022 at 10:48 local time. Within the analyzed area, about 6 km2 of landslides are observed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never