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  • Time Period of the Dataset [?]: October 18, 2022-October 18, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20221014VNM, GDACS Id: 1101698 This map illustrates satellite-detected surface waters in Binh Dinh, Da Nang City, Phu Yen, Quang Nam, Quang Ngai, Thua Thien Hue Provinces, Viet Nam as observed from a Sentinel-1 images acquired on 15 October 2022 at 17:56 local time. Within the extent of this map of 32,000 km², about 500 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, 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 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.
  • 900+ Downloads
    Time Period of the Dataset [?]: November 29, 2020-April 10, 2021 ... More
    Modified [?]: 19 April 2021
    Dataset Added on HDX [?]: 6 November 2020
    This dataset updates: Never
    4W Flood response for Viet Nam
  • 300+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    This dataset updates: Never
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
  • Time Period of the Dataset [?]: November 10, 2020-November 10, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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 10 November 2020 at 05:43 local time. Within the analyzed area of about 5,000 km2, a total of about 200 km2 of lands appear to be flooded. The water extent appears to have increased of about 50 km2 since 4 November 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.
  • Time Period of the Dataset [?]: November 10, 2020-November 10, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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 9 November 2020 at 05:51 local time. Within the analyzed area of about 6,000 km2, a total of about 40 km2 of lands appear to be flooded. The water extent appears to have receded of about 540 km2 since 3 November 2020. Based on Worldpop population data and the detected surface waters, about 17,000 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.
  • Time Period of the Dataset [?]: November 10, 2020-November 10, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: November 05, 2020-November 05, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: November 04, 2020-November 04, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: November 02, 2020-November 02, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: November 02, 2020-November 02, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 30, 2020-October 30, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 30, 2020-October 30, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 30, 2020-October 30, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 30, 2020-October 30, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 29, 2020-October 29, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 29, 2020-October 29, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 29, 2020-October 29, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 26, 2020-October 26, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 26, 2020-October 26, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 24, 2020-October 24, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 24, 2020-October 24, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 23, 2020-October 23, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 23, 2020-October 23, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 23, 2020-October 23, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.
  • Time Period of the Dataset [?]: October 22, 2020-October 22, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 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.