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  • Updated 19 November 2020 | Dataset date: November 10, 2020-November 10, 2020
    This dataset updates: Never
    UNOSAT code: TC20201028VNM This map illustrates satellite-detected surface waters in Nghe An Province of Viet Nam as observed from a Sentinel-1 image acquired on 9 November 2020 at 05:51 local time. Within the analyzed area of about 15,000 km2, a total of about 40 km2 of lands appear to be flooded. The water extent appears to have receded of about 360 km2 since 31 October 2020. Based on Worldpop population data and the detected surface waters, about 23,000 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.
  • Updated 19 November 2020 | Dataset date: November 06, 2020-November 06, 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 6 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 120 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 1 November 2020. Based on Worldpop population data and the detected surface waters, about 80,000 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.
  • Updated 19 November 2020 | Dataset date: November 05, 2020-November 05, 2020
    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 4 November 2020 at about 05:43 local time. Within the analyzed area of about 4,700 km2, a total of about 150 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 29 October 2020. Based on Worldpop population data and the detected surface waters, about 40,000 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.
  • Updated 19 November 2020 | Dataset date: November 04, 2020-November 04, 2020
    This dataset updates: Never
    UNOSAT code: TC20201028VNM This map illustrates satellite-detected surface waters in Ha Tinh Province of Viet Nam as observed from a SAOCOM-1A image acquired on 3 November 2020 at about 16:52 local time. Within the analyzed area of about 5,800 km2, a total of about 580 km2 of lands appear to be flooded. The water extent appears to have increased of about 80 km2 since 30 October 2020. Based on Worldpop population data and the detected surface waters, about 260,000 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.
  • Updated 19 November 2020 | Dataset date: November 04, 2020-November 04, 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates floodwater depth in Nabua and Baao Municipalities, Camarines Sur Provinces & Bato and Libon, Albay Province, Bicol Region (Region V) of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and digital elevation model data with the floodwater depth estimation tool (FwDET). 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.
  • Updated 19 November 2020 | Dataset date: November 04, 2020-November 04, 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates floodwater depth in Floodwater depth in Bula and Minalabac municipalities, Camarines Sur Provinces, Bicol Region (Region V) of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and a digital elevation model data with the floodwater depth estimation tool (FwDET). 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.
  • Updated 19 November 2020 | Dataset date: November 03, 2020-November 03, 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates floodwater depth in Camarines Sur provinces of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and a digital elevation model data with the floodwater depth estimation tool(FwDET). 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.
  • Updated 19 November 2020 | Dataset date: November 02, 2020-November 02, 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces Philippines as observed from a Sentinel-1 image acquired on 1 November 2020 at about 17:57 local time. Within the analyzed area of about 5,000 km2, a total of about 240 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.
  • Updated 19 November 2020 | Dataset date: November 02, 2020-November 02, 2020
    This dataset updates: Never
    UNOSAT code: TC20201028VNM This map illustrates satellite-detected surface waters in Nghe An Province of Viet Nam as observed from a Radarsat Constellation 1 image acquired on 31 October 2020 at about 17:56 local time. Within the analyzed area of about 8,000 km2, a total of about 400 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 300,000 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.
  • Updated 19 November 2020 | Dataset date: November 02, 2020-November 02, 2020
    This dataset updates: Never
    UNOSAT code: TC20201028VNM This map illustrates satellite-detected surface waters in Ha Tinh Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 18:05 local time. Within the analyzed area of about 5,700 km2, a total of about 500 km2 of lands appear to be flooded. The water extent appears to have increased of about 450 km2 since 24 October 2020. Based on Worldpop population data and the detected surface waters, about 215,000 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.
  • Updated 19 November 2020 | Dataset date: October 30, 2020-October 30, 2020
    This dataset updates: Never
    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.
  • Updated 19 November 2020 | Dataset date: October 30, 2020-October 30, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 30, 2020-October 30, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 30, 2020-October 30, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 29, 2020-October 29, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 29, 2020-October 29, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 29, 2020-October 29, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 26, 2020-October 26, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 26, 2020-October 26, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 24, 2020-October 24, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 24, 2020-October 24, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 23, 2020-October 23, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 23, 2020-October 23, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 23, 2020-October 23, 2020
    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.
  • Updated 19 November 2020 | Dataset date: October 22, 2020-October 22, 2020
    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.