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  • Updated 18 February 2022 | Dataset date: October 11, 2021-October 11, 2021
    This dataset updates: Never
    UNOSAT code: FL20211008COD This map illustrates satellite-detected surface waters in Muvaramu village, Ituri province as observed from a Sentrinel-2 acquired on 04 October 2021. Within the analyzed area, waters appear to have slightly progressed inland since 27 January 2021. 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 18 February 2022 | Dataset date: October 05, 2021-October 05, 2021
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Central part of Thailand as observed from a Sentinel-1 image acquired on 3 October 2021 at 06:08 local time. Within the analyzed area of about 91,000 km2 , about 3,300 km2 of lands appear to be flooded. The water extent appears to have decreased of about 180 km2 since 27 September 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 350,000 people mainly located in the Ayutthaya Province with ~ 76,000 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.
  • Updated 18 February 2022 | Dataset date: September 20, 2021-September 20, 2021
    This dataset updates: Never
    UNOSAT code: FL20210907SDN This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 14 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 165 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)
  • Updated 18 February 2022 | Dataset date: October 04, 2021-October 04, 2021
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Sukhothai, Phitsanulok, Kamphaeng Phet, and Uttaradit provinces of Thailand as observed from a Sentinel-1 image acquired on 2 October 2021 at 06:17 local time. Within the analyzed area of about 4,500 km2 , about 450 km2 of lands appear to be flooded. The water extent appears to have increased of about 90 km2 since 28 September 2021. 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 Mueang Sukhothai with ~ 14,000 people, Sawankhalok with ~ 14,000 people, Khiri Mat with ~ 7,400 people, and Si Samrong with ~ 7,000 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.
  • Updated 18 February 2022 | Dataset date: August 19, 2021-August 19, 2021
    This dataset updates: Never
    UNOSAT code: FL20210817GUY This map illustrates satellite-detected surface waters in the Upper Takutu-Upper Essequibo Regions of Guyana using NOAA-VIIRS between 12th and 16th of August 2021. Within the analysed area of about 24,462 km2, a total of about 1417 km2 of lands were observed as flooded. Based on Worldpop spatial demographic data,approximately 2153 people are 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.
  • Updated 18 February 2022 | Dataset date: September 21, 2021-September 21, 2021
    This dataset updates: Never
    UNOSAT code: FL20210907SDN This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 100 km2 since 14 September 2021. In this area, about 124 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)
  • Updated 18 February 2022 | Dataset date: August 09, 2021-August 09, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 8 August 2021 at 17:55 local time. Within the analyzed area of about 18,700 km2 and, about 873 km2 of lands appear to be flooded. The water extent appears to have increased of about 21 km2 since 30 July 2021. 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 Cox's Bazar with ~393,240 people, Chittagong with ~358,320 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.
  • Updated 18 February 2022 | Dataset date: September 20, 2021-September 20, 2021
    This dataset updates: Never
    UNOSAT code: FL20210907SDN This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 4 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 132 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)
  • Updated 18 February 2022 | Dataset date: October 06, 2021-October 06, 2021
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Khon Kaen, Chaiyaphum, Nakhon Ratchasima, and Nong Bua Lam Phu provinces, Thailand as observed from a Sentinel-1 image acquired on 5 Oct 2021 at 18:20 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 40,500 km2 , about 770 km2 of lands appear to be flooded. The water extent appears to have decreased of about 70 km2 since 29 September 2021. 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 Phimai with ~ 10,400 people, Non Sung with ~ 9,000 people, Mueang Chaiyaphum with ~ 6,700 people, Mueang Khon Kaen with ~ 4,500 people, and Chonnabot Thai with ~ 4,300 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.
  • 10+ Downloads
    Updated 18 February 2022 | Dataset date: August 07, 2021-August 07, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729YEM This map illustrates satellite-detected surface waters over Sirwah and Ma'rib City districts of Yemen as observed from a Sentinel-2 image acquired on 5 August 2021. From the previous preliminary flood assessment conducted on 2 August 2021, an additional 1.45 km2. Based on Worldpop population data and the detected surface waters, about 90 additional people may be 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.
  • Updated 18 February 2022 | Dataset date: September 20, 2021-September 20, 2021
    This dataset updates: Never
    UNOSAT code: FL20210908NER This map illustrates the extent of surface waters in Guidan Roumdji, Madarounfa and Ville de Maradi departments, Maradi Region as observed from a Sentinel-2 image acquired on 09 September 2021. Within the analyzed area of about 5,900 km2, 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 United Nations Satellite Centre (UNOSAT).
  • Updated 18 February 2022 | Dataset date: September 20, 2021-September 20, 2021
    This dataset updates: Never
    UNOSAT code: FL20210908NER This map illustrates the extent of surface waters (cumulative) in Dosso, Niamey, Tahoua and Tillaberi regions of Niger as detected by VIIRS-NOAA satellite between the 2nd of August & the 5th of September 2021. Within the analyzed cloud free zones of about 260,000 km2, a total of about 900 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 120,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the region of Dosso with ~40,000 people, Tillabéri with ~40,000 people and Tahoua with ~22,200 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).
  • 10+ Downloads
    Updated 18 February 2022 | Dataset date: August 03, 2021-August 03, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This is a web map showing analysis and results related to floods in Cox's Bazar area, Chittagong division, Bangladesh
  • Updated 18 February 2022 | Dataset date: September 17, 2021-September 17, 2021
    This dataset updates: Never
    UNOSAT code: FL20210908NER This map illustrates the extent of surface waters (cumulative) in Dosso, Niamey, Tahoua and Tillaberi regions of Niger as detected by VIIRS-NOAA satellite between the 3rd & the 7th of September 2021. Within the analyzed cloud free zones of about 230,000 km2, a total of about 310 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 45,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the region of Dosso with ~26,700 people, Tillabéri with ~10,900 people and Tahoua with ~6,600 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).
  • Updated 18 February 2022 | Dataset date: September 04, 2021-September 04, 2021
    This dataset updates: Never
    UNOSAT code: FL20210831MMR This map illustrates satellite-detected surface waters over the Boga, Yangon regions and Mon state, surrounding the Gulf of Martaban, Myanmar as observed from a Sentinel-1 image acquired on 1 September 2021 at 05:55 local time. Within the analyzed area of about 10,000 km2 , 240 km2 of lands appear to be flooded. The water extent appears to have decreased of about 470 km2 since 25 August 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the township of Thanatpin with ~ 7,300 people. Thaton with ~ 7,000 people. and Paung with ~ 5,700 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.
  • Updated 18 February 2022 | Dataset date: September 20, 2021-September 20, 2021
    This dataset updates: Never
    UNOSAT code: FL20210908NER This map illustrates the extent of surface waters in Aderbissinat, Ingall & Tchirozerine departments, Agadez Region as observed from a Sentinel-2 acquired on 05 August 2021. Within the analyzed area of about 16,000 km2, 150 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,800 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).
  • Updated 18 February 2022 | Dataset date: August 13, 2021-August 13, 2021
    This dataset updates: Never
    UNOSAT code: FL20210812SDN This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite Sentinel-2 image acquired on 10 August 2021 over the Aj Jazirah, Gedaref and Sennar states, Sudan. In this area, about 220 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 18 February 2022 | Dataset date: August 11, 2021-August 11, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 11 August 2021 at 05:48 local time. Within the analyzed area of about 18,700 km2 and, about 754 km2 of lands appear to be flooded. The water extent appears to have decreased of about 119 km2 since 8 August 2021. 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 Chittagong with ~ 342,690 people. and Cox's Bazar with ~ 244,000 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.
  • Updated 18 February 2022 | Dataset date: August 02, 2021-August 02, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 30 July 2021 at 05:33 local time Within the analyzed area of about 18,700 km2 and, about 852 km2 of lands appear to be flooded. The water extent appears to have decreased of about 18km2 since 27 July 2021. 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 Cox's Bazar with ~425,000 people, Chittagong with ~392,300 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.
  • Updated 18 February 2022 | Dataset date: August 06, 2021-August 06, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729YEM This map illustrates the estimated total precipitation accumulated over Yemen. The total estimate was derived from the NASA Precipitation Processing System (PPS) dataset at a spatial resolution of approximately 10km and covers the period from 20th July to 1st August 2021. Western Governorates have been predominantly affected by precipitation, with some values greater than 600mm over the 13-day period. It is possible that precipitation levels may have been underestimated for local areas and are not a substitute for ground station measurements. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 18 February 2022 | Dataset date: July 08, 2021-July 08, 2021
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Nawalparasi West, Rupandehi and Kapilbastu districts, Lumbini province, Nepal as observed from a Sentinel-1 image acquired on 7 July 2021 at 06:12 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 1,500 km2 and, about 67km2 of lands appear to be flooded. The water extent appears to have decreased of about 110 km2 since 2 July 2021 and moved toward India. 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 Rupandehi with ~59,000 people and Nawalparasi West with ~5,200 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.
  • Updated 18 February 2022 | Dataset date: August 02, 2021-August 02, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729YEM This map illustrates satellite-detected surface waters over Sirwah, Bani Dabyan, and Al Jubah districts of Yemen as observed from a Sentinel-1 radar image acquired on 26 July 2021. Within the analyzed area of about 3,800 km2, a total of about 6.5 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,800 people may be 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.
  • Updated 18 February 2022 | Dataset date: July 08, 2021-July 08, 2021
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Kaski and Syangja districts, Gandaki province, Nepal as observed from a Sentinel-2 image acquired on 4 July 2021 at 10:41 local time. Within the analyzed cloud free zones of about 500 km2, a total of about 25km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Kaski district with ~16,000 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).
  • Updated 18 February 2022 | Dataset date: July 06, 2021-July 06, 2021
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected surface waters in Sudurpaschim and Lumbini provinces, Nepal as observed from a Sentinel-1 image acquired on 4 July 2021 at 18:38 local time and using an automated analysis with Machine learning method. Within the analyzed area of 7,055 km2, about 170 km2 of lands appear to be flooded. The water extent appears to have increased of about 150 km2 since 30 June 2021. 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 Kailali with ~28,000 people, Banke with ~23,000 people, and Bardiya with ~21,000 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.
  • Updated 18 February 2022 | Dataset date: July 05, 2021-July 05, 2021
    This dataset updates: Never
    UNOSAT code: FL20210630NPL This map illustrates satellite-detected flash floods and landslides in Melamchi village, Melamchi Municipality, Bagmati province, Nepal as observed using Sentinel-2 satellite imagery acquired on 24 June 2021. Within the analyzed area, approximately 150 structures appear to be potentially affected by the landslides. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).