Data Datasets [20535] | Archived Datasets[2827] [?]
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  • 20+ Downloads
    Time Period of the Dataset [?]: April 25, 2022-April 25, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220418ZAF This map illustrates satellite-detected landslides/mudflow West of Durban City, eThekwini Metropolitan Municipality, KwaZulu-Natal Province, South Africa as observed from a WorldView-3 imagery acquired on 14 April 2022. Within the analyzed area, at least 62 structures and 2 bridges appear to be affected by floods and/or landslides. 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).
  • 60+ Downloads
    Time Period of the Dataset [?]: April 25, 2022-April 25, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220418ZAF This map illustrates satellite-detected landslides/mudflow in Umdloti village, eThekwini Metropolitan Municipality, KwaZulu-Natal Province, South Africa as observed from a NewSat image acquired on 13 April 2022. Within the analyzed area, 14 buildings appear to be affected and 13 are potentially affected. Affected roads were also identified. 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).
  • 100+ Downloads
    Time Period of the Dataset [?]: March 18, 2022-March 18, 2022 ... More
    Modified [?]: 22 April 2022
    Dataset Added on HDX [?]: 22 March 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 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).
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-November 16, 2021 ... More
    Modified [?]: 12 April 2022
    Dataset Added on HDX [?]: 24 November 2021
    This dataset updates: Never
    War-Damaged Shelter Rehabilitation data as submitted by humanitarian and development actors undertaking assessment and rehabilitation of war-damaged shelter for returnees across the country.
  • 100+ Downloads
    Time Period of the Dataset [?]: March 30, 2022-March 30, 2022 ... More
    Modified [?]: 4 April 2022
    Dataset Added on HDX [?]: 30 March 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).
  • 70+ Downloads
    Time Period of the Dataset [?]: March 30, 2022-March 30, 2022 ... More
    Modified [?]: 4 April 2022
    Dataset Added on HDX [?]: 30 March 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).
  • 40+ Downloads
    Time Period of the Dataset [?]: April 01, 2022-April 01, 2022 ... More
    Modified [?]: 4 April 2022
    Dataset Added on HDX [?]: 4 April 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).
  • Time Period of the Dataset [?]: March 23, 2022-March 23, 2022 ... More
    Modified [?]: 30 March 2022
    Dataset Added on HDX [?]: 30 March 2022
    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.
  • 40+ Downloads
    Time Period of the Dataset [?]: February 25, 2017-December 31, 2022 ... More
    Modified [?]: 25 March 2022
    Dataset Added on HDX [?]: 25 March 2022
    This dataset updates: Never
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] http://ssa.who.int This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more innformation contact ssa@who.int Dates 31/12/2021 25/02/2017
  • 1100+ Downloads
    Time Period of the Dataset [?]: January 01, 2008-June 30, 2017 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 29 November 2017
    This dataset updates: Never
    Incidentes atendidos por la CONRED del año 2008 al año 2017 , en todo el territorio de Guatemala, con estadísticas de personas y viviendas, tipo de evento segun la clasificación de la CONRED, Departamento, Municipio y centros poblados.
  • Time Period of the Dataset [?]: March 16, 2022-March 16, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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.
  • Time Period of the Dataset [?]: March 17, 2022-March 17, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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.
  • Time Period of the Dataset [?]: March 15, 2022-March 15, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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.
  • Time Period of the Dataset [?]: March 16, 2022-March 16, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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).
  • Time Period of the Dataset [?]: March 15, 2022-March 15, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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.
  • Time Period of the Dataset [?]: March 14, 2022-March 14, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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.
  • Time Period of the Dataset [?]: March 14, 2022-March 14, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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.
  • Time Period of the Dataset [?]: March 09, 2022-March 09, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    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).
  • Time Period of the Dataset [?]: March 04, 2022-March 04, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Midongy-Atsimo District, Atsimo Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed area about 1,200 km2, a total of about 90 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 5,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: March 04, 2022-March 04, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Ambohimahasoa, Isandra, Lalangina, And Vohibato Districts, Haute Matsiatra Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed area about 2,000 km2, a total of about 130 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: March 03, 2022-March 03, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Farafangana and Vondrozo Districts, Atsimo Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00  local time. Within the analyzed area of about 1,000 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).
  • Time Period of the Dataset [?]: March 02, 2022-March 02, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: FL20220119SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 23 to 27 Feb. 2022 compared with the period from 11 to 15 Feb. 2022. Within the cloud free analyzed areas of about 629,000 km2, a total of about 21,200 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 8,000 km2 since the period between 11 to 15 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~522,000 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).
  • Time Period of the Dataset [?]: March 02, 2022-March 02, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Iakora and Ivohibe Districts, Ihorombe Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 150 km2, a total of about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,200 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).
  • Time Period of the Dataset [?]: March 02, 2022-March 02, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Mahanoro District, Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 450 km2, a total of about 40 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,500 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).
  • Time Period of the Dataset [?]: March 02, 2022-March 02, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Mananjary and Nosy-Varika Districts, Vatovavy Fitovinany Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 800km2, a total of about 105 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 13,400 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).