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  • 10+ Downloads
    Time Period of the Dataset [?]: November 03, 2021-November 03, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA Summary Of Findings; Floodwaters observed in 17 provinces as of 2 November 2021; Receding flood waters observed in Central Region as of 2 November 2021; Standing flood waters observed in Sukhothai, Phitsanulok, Kamphaeng Phet, Phichit, Phetchabun, Nakhon Sawan, Uthai Thani, and Kanchanaburi provinces as of 2 November 2021;  Increased standing flood waters observed in Chai Nat, Suphan Buri, Sing Buri, Ang Thong, Saraburi, Lop Buri, Ayutthaya, Nakhon Pathom and Pathum Thani provinces as of 2 November 2021. 
  • Time Period of the Dataset [?]: September 20, 2021-September 20, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210907SDN This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite KANOPUS-V image acquired on 12 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 170 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)
  • Time Period of the Dataset [?]: October 25, 2021-October 25, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Volcanic Eruption Impact
    UNOSAT code: VO20211025VUT This map illustrates the volcanic ashfall dispersion as observed using Sentinel-2 imagery acquired on 23 October 2021, 10:00 hrs. local time over Yasur volcano on Tanna Island, Vanuatu. At the time of the acquisition, the ashfall covered about 20 km2 at the Southwestern direction of the volcanic crater. Using the building footprints of Humanitarian Open Street Map as a baseline, around 440 buildings in the cloud free zone are located within areas covered by ash and smoke, representing 3% of the total number of buildings in Tanna island. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 22, 2021-October 22, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Central and Western parts of Thailand as observed from a Sentinel-1 image acquired on 21 October 2021 at 06:09 local time. Within the analyzed area of about 90,000 km2 , about 3,200 km2 of lands appear to be flooded. The water extent appears to have receded of about 70 km2 since 10 October 202. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 370,000 people mainly located in province of Phra Nakhon Si Ayutthaya with ~ 99,000 people, Suphan Buri with ~ 88,000 people, and Nakhon Sawan with ~ 47,000 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: December 27, 2021-December 27, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures/buildings in Siargao Island, General Luna, Surigao del Norte of Philippines as detected by Pleiades image acquired on 26 December 2021 and WorldView-3 acquired on 23 December 2021. Within the analyzed area, UNOSAT has identified 1,769 damaged structures, 380 potentially damaged structures. 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).
  • 20+ Downloads
    Time Period of the Dataset [?]: December 08, 2021-December 08, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211208COG This map illustrates cumulative satellite-detected water using VIIRS in Republic of Congo between 03 to 07 December 2021 compared with the period between 26 to 30 November 2021. Within the cloud free analyzed areas of about 335,000 km2, a total of about 3,500 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 300 km2 since the period between 26 to 30 November 2021. Based on HRSL population data and the detected surface waters, the potentially exposed population of ~190,000 people is mainly located in department of Likouala with ~ 94,000 people, Brazzaville with ~ 70,000 people and Plateaux with ~10,000 people. 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).
  • Time Period of the Dataset [?]: November 09, 2021-November 09, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 03 to 07 November 2021 compared with the period between 20 to 24 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 33,500 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 2,700 km2 since the period between 20 to 24 October 2021. Based on Worldpop population data and the detected surface waters, ~935,000 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 the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 26, 2021-October 26, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 25 October 2021 compared with the period between 15 to 19 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 36,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 12,000 km2 since the period between 15 to 19 October 2021. Based on Worldpop population data and the detected surface waters, ~1,040,000 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 the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 14, 2021-October 14, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211008COD This map illustrates satellite-detected surface waters in Gengere Pamoth village, Ituri province as observed from a Sentrinel-2 acquired on 09 October 2021. Within the analyzed area, the surface waters appears to have 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).
  • Time Period of the Dataset [?]: October 20, 2021-October 20, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates historical comparative cumulative satellite-detected water using VIIRS in South Sudan between 19 Sep. to 18 Oct. 2021 and 20 Sep. to 19 Oct. 2020 . Within the analyzed extent not covered by clouds, a total of about 70,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 2,000,000 people are exposed or living close to flooded area. 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).
  • Time Period of the Dataset [?]: October 08, 2021-October 08, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211008COD This map illustrates satellite-detected surface waters in Ituri Province as observed from a Sentinel-2 image acquired on 04 October 2021. Within 5 km around Lake Albert, about 40 km2 of lands appear to be flooded. The water extent appears to have increased since August 2019 and based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the Zone de Santé of Nyarambe with ~5,200 people, Gethy with ~ 3,300 people and Tchomia with ~1,550 people. 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)
  • Time Period of the Dataset [?]: October 08, 2021-October 08, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Nakhon Ratchasima province, Thailand as observed from a Kompsat-5 image acquired on 6 Oct 2021 at 18:24 local time. Within the analyzed area of about 1,000 km2 , about 9 km2 of lands appear to be flooded. The water extent appears to have decreased and 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 Non Sung with ~ 1,100 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.
  • Time Period of the Dataset [?]: October 18, 2021-October 18, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIRRS in South Sudan between 09 to 13 October 2021 and 26 to 30 September 2021. Within the analyzed extent not covered by clouds, a total of about 37,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 1,000,000 people are exposed or living close to flooded area. 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).
  • Time Period of the Dataset [?]: September 20, 2021-September 20, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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 Guli District, White Nile State of Sudan. In this area, about 80 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)
  • Time Period of the Dataset [?]: October 11, 2021-October 11, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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).
  • Time Period of the Dataset [?]: October 05, 2021-October 05, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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.
  • Time Period of the Dataset [?]: September 20, 2021-September 20, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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)
  • Time Period of the Dataset [?]: October 04, 2021-October 04, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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.
  • Time Period of the Dataset [?]: September 02, 2021-September 02, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Les Anglais Commune, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 3 damaged structures, 41 potentially damaged structures, 4 road obstacles and 8 landslide locations. 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).
  • Time Period of the Dataset [?]: August 19, 2021-August 19, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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.
  • Time Period of the Dataset [?]: August 19, 2021-August 19, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Baraderes commune, Nippes department of Haiti as detected by using a satellite image acquired after the earthquake. UNOSAT analysis used a Worldview-3 image acquired on 16 August 2021, and a Resurs-P image acquired on 18 August 2021, as a post-event images. Within the analyzed area, UNOSAT identified 7 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: September 21, 2021-September 21, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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)
  • 10+ Downloads
    Time Period of the Dataset [?]: August 18, 2021-August 18, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Nippes department of Haiti as detected by using a satellite image acquired after the earthquake. UNOSAT analysis used a Worldview-2 image acquired on 14 & 16 August 2021, a Worldview-1 image acquired on 15 August 2021, a Worldview-3 image acquired on 16 August 2021, and Pleiades images acquired on 15 & 16 August 2021, as a post-event images. Within the analyzed area, UNOSAT identified 73 damaged structures and 125 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Time Period of the Dataset [?]: August 13, 2021-August 13, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20210811DZA Cette carte illustre les zones d'incendiées telles qu'observées à partir d'une image Sentinel-2 acquise le 12 août 2021 à 10:40 UTC au sud d'Alger. Sur les 240,000 ha analysés, environ 4,300 ha de couverture végétale/forêts apparaissent comme brûlés. Les communes les plus touchées sont celles de Boukram (Bouira) Deux Bassins (Medea) et Souhane (Blida) avec respectivement 1,350, 950 et 650 ha de zone incendiée. Ceci est analyse préliminaire et n'a pas encore été validée sur le terrain. N'hésitez pas à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: August 09, 2021-August 09, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    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.