UN Operational Satellite Applications Programme (UNOSAT)

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Data [880]
  • UNOSAT code: TC20201028VNM This map illustrates satellite-detected surface waters in Quang Ngai Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020. Within the analyzed area of about 5,000 km2, a total of about 90 km2 of lands appear to be flooded. The water extent appears to have increased of about 80 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 53,000 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 UNITAR-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: TC20201028VNM This map illustrates satellite-detected surface waters in Da Nang City of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 05:35 local time. Within the analyzed area of about 300 km2, a total of about 8 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 4,300 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 UNITAR-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: TC20201028VNM This map illustrates satellite-detected surface waters in Binh Dinh Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 05:35 local time. Within the analyzed area of about 6,000 km2, a total of about 70 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 30,000 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 UNITAR-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: TC20201028VNM This map illustrates satellite-detected surface waters in Quang Nam Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 05:35 am local time. Within the analyzed area of about 8,000 km2, a total of about 80 km2 of lands appear to be flooded. The water extent appears to have increased of about 50 km2 since 25 October 2020 Based on Worldpop population data and the detected surface waters, about 45,000 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 UNITAR-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: TC20201028VNM This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 local time. Within the analyzed area of about 5,000 km2, a total of about 270 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 100,000 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 UNITAR-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: TC20201028VNM This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 am local time. Within the analyzed area of about 6,000 km2, a total of about 250 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 24 October 2020 Based on Worldpop population data and the detected surface waters, about 70,000 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 UNITAR-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: TC20201028VNM This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 local time. Within the analyzed area of about 4,600 km2, a total of about 230 km2 of lands appear to be flooded. The water extent appears to have increased of about 90 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 65,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 25 October 2020. Within the analyzed area of about 1,500 km2, a total of about 140 km2 of lands appear to be flooded. The water extent appears to have receded of about 40 km2 since 22 October 2020. Based on Worldpop population data and the detected surface waters, about 30,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 25 October 2020. Within the analyzed area of about 4,000 km2, a total of about 230 km2 of lands appear to be flooded. The water extent appears to have a static level since 22 October 2020. Based on Worldpop population data and the detected surface waters, about 50,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 22 October 2020. Within the analyzed area of about 2,500 km2, a total of about 180 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 18 October 2020. Based on Worldpop population data and the detected surface waters, about 45,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 22 October 2020. Within the analyzed area of about 4,000 km2, a total of about 220 km2 of lands appear to be flooded. The water extent appears to have receded of about 90 km2 since 13 October 2020. Based on Worldpop population data and the detected surface waters, about 70,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Nam Province of Viet Nam as observed from a Kompsat-5 image acquired on 20 October 2020. Within the analyzed area of about 4,000 km2, a total of about 170 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 17 October 2020. Based on Worldpop population data and the detected surface waters, about 90,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a Sentinel-1 image acquired on 22 October 2020. Within the analyzed area of about 6,000 km2, a total of about 230 km2 of lands appear to be flooded. The water extent appears to have receded of about 190 km2 since 18 October 2020. Based on Worldpop population data and the detected surface waters, about 55,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Minh Hoa and Tuyen Hoa district, Quang Binh province of Viet Nam as observed from a Kompsat-5 image acquired on 19 October 2020. Within the analyzed area of about 900 km2, a total of about 30 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 6,500 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Ha Tinh and Nghe An Provinces of Viet Nam as observed from a Sentinel-1 image acquired on 21 October 2020. Within the analyzed area of about 8,000 km2, a total of about 300 km2 of lands appear to be flooded. In Ha Tinh province, the water extent appears to have receded of about 200 km2 since 18 October 2020. Based on Worldpop population data and the detected surface waters, about 100,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the districts of Cam Xuyen with ~15,000 people, Can Loc with ~15,000 people and Thach Ha with ~15,000 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Ha Tinh and Nghe An Provinces of Viet Nam as observed from a Sentinel-1 image acquired on 18 October 2020. Within the analyzed area of about 9,000 km2, a total of about 500km2 of lands appear to be flooded. In Ha Tinh province, the water extent appears to have increased of about 300 km2 since 15 October 2020. Based on Worldpop population data and the detected surface waters, about 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 18 October 2020. Within the analyzed area of about 4,500 km2, a total of about 300 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 90,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a TerraSAR-X image acquired on 18 October 2020. Within the analyzed area of about 5,000 km2, a total of about 420 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 160,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Nam Province of Viet Nam as observed from a Radarsat Constellation 1 image acquired on 17 October 2020. Within the analyzed area of about 6,000 km2, a total of about 135 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 84,000 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 UNITAR-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: TC20201013VNM This map illustrates satellite-detected surface waters in Quang Ngai Province of Viet Nam as observed from a Sentinel-1 image acquired on 17 October 2020. Within the analyzed area of about 2,000 km2, a total of about 70 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 20,000 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 UNITAR-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: FL20200428SOM This map illustrates the flood-affected sectors of Beletweyne town in Hiraan Region, Somalia as detected from the analysis of an ICEYE satellite image acquired on 16 May 2020. Within the analysed area of about 30 km2, a total of 8 km2 of land appear to be flooded in BeletWeyne town and surroundings. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • UNOSAT code: FL20200428SOM This map illustrates the flood-affected sectors of Beletweyne town in Hiiran Region, Somalia as detected from the analysis of a satellite Worldview-2 images acquired on the 13 May 2020. Belet Weyne is heavily affected by floods and about 50% of the town and its vicinity is largely inundated; the sectors called Kutimbo, Radar, and Lamagalay Regional Military Base appear to be the most affected by floodwaters as of 13 May 2020. More than 110 IDP sites are located inside of the town and 25% of them are located within the completely flooded areas. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • This is "Flood vectors - RISAT-1 (14 August 2013)" of the Flood analysis for Pakistan which began on 22 August 2013. It includes 1,715 satellite detected water bodies with a spatial extent of 1,625.38 square kilometers derived from the RISAT-1 image acqui...
    20+ Downloads
    This dataset updates: Never
  • This is "Flood vectors - SPOT-5 (25 August 2013)" of the Flood analysis for Pakistan which began on 22 August 2013. It includes 924 satellite detected water bodies with a spatial extent of 581.47 square kilometers derived from the SPOT-5 image acquired on...
    10+ Downloads
    This dataset updates: Never
  • This is "Flood vectors - Radarsat-2 (06 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 21,526 satellite detected water bodies with a spatial extent of 1,187.49 square kilometers derived from the Radarsat-2 image a...
    This dataset updates: Never