United Nations Satellite Centre (UNOSAT)

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  • 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).
    This dataset updates: Never
  • UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 28 May 2022 at 18:04 local time and using an automated analysis with machine learning method. Within the analyzed area of about 12,000 km2, about 4,500 km2 of lands appear to be flooded. In this area, about 3,400 km2 of croplands and 1,000 km2 of herbaceous wetland appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Sunamganj with ~935,000 people and Kishoreganj with ~779,000 people. 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: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 26 May 2022 at 05:47 local time and using an automated analysis with machine learning method. Within the analyzed area of about 16,000 km2, about 6,800 km2 of lands appear to be flooded. In this area, about 5,400 km2 of croplands and 1,270 km2 of herbaceous wetland appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Sunamganj with ~1,700,000 people and Sylhet with ~1,400,000 people. 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: FL20220526GUY This map illustrates satellite-detected surface waters along the Rupununi river in Upper Takutu-Upper Essequibo Region of Guyana as observed from a Sentinel-1 image acquired on 26 May 2022 at 09:45 UTC. Within the analyzed area of about 14,000 km2, a total of about 320 km2 of lands were observed as flooded. 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: May 16, 2022-May 16, 2022
    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).
    This dataset updates: Never
  • UNOSAT code: FL20220418ZAF Landslide impact analysis in eThekwini, Metropolitan Municipality, This map illustrates satellite-detected water and landslides/mudflow in eThekwini, Metropolitan Municipality, eThekwini District, KwaZulu-Natal Province, South Africa as observed from a WorldView-3 image acquired on 20 April 2022. Within the analyzed area, 323 ha of landslide scars were observed. Based on Worldpop population data, about 570,000 people live inside the analyzed area. Within the analysis extent, UNITAR-UNOSAT identified 164 damaged/affeted structures and 79 potentially damaged structures. 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: FL20220424SSD Dashboard showing VIIRS cumulative data. This dashboard shows statistics of the potentially exposed population and the maximum flood water extent by district over South Sudan
    This dataset updates: Never
  • UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet and Sunamganj Districts, Sylhet Division, Bangladesh as observed from a Chaohu-1 image acquired on 25 May 2022 at 22:23 local time. Within the analyzed area of about 730 km2, about 420 km2 of lands appear to be flooded. In this area, about 300 km2 of croplands and 70 km2 of herbaceous wetland appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters, about 307,000 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: FL20220526GUY This map illustrates cumulative satellite-detected water using VIIRS in Guyana between 25 to 29 May 2022 compared with the period from 20 to 24 May 2022. Within the cloud free analyzed areas of about 205,000 km2, a total of about 3,900 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,200 km2 since the period between 20 to 24 may 2022. Based on Worldpop population data and the maximal flood water coverage, ~22,000 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
  • Updated 28 June 2022 | Dataset date: May 07, 2022-May 07, 2022
    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).
    This dataset updates: Never
  • UNOSAT code: FL20220418ZAF This map illustrates satellite-detected landslides/mudflow in eThekwini, Metropolitan Municipality, eThekwini District, KwaZulu-Natal Province, South Africa as observed from a Kompsat-3 image acquired on 21 April 2022. Within the analyzed area, 270 ha of landslide scars were observed. Based on Worldpop population data, about 283,000 people live inside the analyzed area. Within the analysis extent, UNITAR-UNOSAT identified 506 damaged structures and 197 potentially damaged structures. 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: FL20220418ZAF This map illustrates satellite-detected landslides/mudflow-related impact in eThekwini, Metropolitan Municipality, eThekwini District, KwaZulu-Natal Province, South Africa as observed from a Kompsat-3 image acquired on 21 April 2022. Within the analyzed area, 21 ha of landslide scars were observed. Based on Worldpop population data, about 55,000 people live inside the analyzed area. Within the analysis extent, UNITAR-UNOSAT identified 121 damaged structures and 247 potentially damaged structures. 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: FL20220418ZAF This map illustrates satellite-detected landslides/mudflow in eThekwini, Metropolitan Municipality, eThekwini District, KwaZulu-Natal Province, South Africa as observed from a Sentinel-2 image acquired on 28 April 2022.Within the analyzed area, 11 ha of landslide scars were observed. Based on Worldpop population data, about 27,000 people live inside the analyzed area. 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: FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 24 April 2022 compared with the period from 14 to 18 May 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 9,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 800 km2 since the period between 20 to 24 April 2022. Based on Worldpop population data and the maximal flood water coverage, ~220,000 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: FL20220418ZAF Webmap of satellite based analysis related to the Floods and landslides of 13 Apr. 2022 in KwaZulu-Natal (Republic of South Africa).
    This dataset updates: Never
  • UNOSAT code: FL20220418ZAF This map illustrates satellite-detected landslides/mudflow in Umzumbe & Ray Nkonyeni Local Municipalities, Ugu District, KwaZulu-Natal Province, South Africa as observed from a Kompsat-3 image acquired on 21 April 2022. Within the analyzed area, 75 ha of landslide scars were observed. Based on Worldpop population data, about 67,000 people live inside the analyzed area. 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
  • Updated 28 June 2022 | Dataset date: May 19, 2022-May 19, 2022
    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).
    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).
    This dataset updates: Never
  • UNOSAT code: FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 April 2022 compared with the period from 20 to 24 April 2022. Within the cloud free analyzed areas of about 16,000,000 km2, a total of about 10,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,700 km2 since the period between 01 to 05 April 2022. Based on Worldpop population data and the maximal flood water coverage, ~250,000 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: 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).
    This dataset updates: Never
  • UNOSAT code: FL20220412PHL This map illustrates satellite detected waters, the potentially exposed population, and the related potentially affected croplands as deduced using a satellite TerraSAR-X image acquired on 26 April 2021 at 05:34 local time acquired over Leyte Province, Region VIII, Philippines. Within the analyzed area of about 30,000 hectares, a total of about 2,000 hectares of lands appear to be flooded. The water extent appears to have increased of about 900 hectares since 21 April 2021. Based on Worldpop population data and the detected surface waters, about 8,000 people are potentially exposed or living close to flooded areas. The exposed population appears to have increased with about 3,000 people since 21 April 2021. In this area, about 1,800 km2 of croplands appear to be likely affected by the flood waters. The affected croplands seems to have increased with about 900 hectares since 21 April 2021. 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
  • Updated 28 June 2022 | Dataset date: April 26, 2022-April 26, 2022
    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).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: April 25, 2022-April 25, 2022
    UNOSAT code: FL20220418ZAF SUMMARY OF FINDINGS: Increased water level, inundated infrastructure & damaged road observed along the Mlazi river as of 14 April 2022; Inundated SAPREF Oil Refinery as of 14 April 2022; Increased water level and damaged roadway observed along the Mhlatuzana river as of 14 April 2022; Inundated area observed along the Umbilo river as of 14 April 2022; Increased water level and landslide observed along the Palmiet river as of 14 April 2022. Status: : Increased water level and landslides observed Further action(s): Continue monitoring
    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).
    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).
    This dataset updates: Never