Data Datasets [4] | Archived Datasets[0] [?] Show filter:
Refine your search: Clear all
Featured:
Locations:
Formats:
Organisations:
Tags:
Licenses:
  • Updated 2 August 2022 | Dataset date: June 30, 2022-June 30, 2022
    This dataset updates: Never
    UNOSAT code: EQ20220622AFG This map illustrates potentially damaged buildings and damaged buildings in Gyan district, Pakteka province of Afghanistan as detected by Jilin-1 satellite image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 39 potentially damaged buildings, 22 damaged buildings and 33 shelters. 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 2 August 2022 | Dataset date: June 30, 2022-June 30, 2022
    This dataset updates: Never
    UNOSAT code: EQ20220622AFG Live web map providing geospatial information about damaged caused by the earthquake that stroke Afghanistan on 21 June 2022. This web map gives an updated overview over potentially damaged and damaged buildings based on very high-resolution satellite images. Furthermore, the application also gives an overview over identified shelters.
  • Updated 2 August 2022 | Dataset date: June 29, 2022-June 29, 2022
    This dataset updates: Never
    UNOSAT code: EQ20220622AFG This map illustrates potentially damaged buildings and damaged buildings in Tani district, Khost province of Afghanistan as detected by Worldview-3 image acquired on 23 June 2022. Within the analyzed area, UNOSAT has identified 156 potentially damaged buildings, 70 damaged buildings and 58 shelters. 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 2 August 2022 | Dataset date: June 28, 2022-June 28, 2022
    This dataset updates: Never
    UNOSAT code: FL20220627GEO This map illustrates satellite-detected surface waters in Samegrelo-Zemo Svaneti and Imereti Regions, Georgia as observed from a Sentinel-1 image acquired on 23 Jun 2022 at 19:11 local time. Within the analyzed area of about 2,500 km2, about 50 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,600 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.