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  • Updated 22 March 2022 | Dataset date: March 16, 2022-March 16, 2022
    This dataset updates: Never
    UNOSAT code: FL20220314SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 March 2022 compared with the period from 05 to 09 March 2022. Within the cloud free analyzed areas of about 628,000 km2, a total of about 11,400 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 12,000 km2 since the period between 05 to 09 March 2022. Based on Worldpop population data and the maximal flood water coverage, ~277,000 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).
  • Updated 22 March 2022 | Dataset date: March 02, 2022-March 02, 2022
    This dataset updates: Never
    UNOSAT code: FL20220119SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 23 to 27 Feb. 2022 compared with the period from 11 to 15 Feb. 2022. Within the cloud free analyzed areas of about 629,000 km2, a total of about 21,200 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 8,000 km2 since the period between 11 to 15 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~522,000 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).
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    Updated 7 March 2022 | Dataset date: March 07, 2022-May 23, 2022
    This dataset updates: As needed
    Esta base de datos cuenta con información de presuntos delitos sexuales ocurridos en municipios que registran alguna emergencia por la ocurrencia de desastres naturales durante 2021.
  • Updated 18 February 2022 | Dataset date: December 15, 2021-December 15, 2021
    This dataset updates: Never
    UNOSAT code: FL20211213BRA This map illustrates satellite-detected surface waters in Alcobaca, Prado and Itamaraju municipalities, State of Bahia, Brazil as observed from Sentinel-2 image acquired on 11 Dec. 2021 & Sentinel-1 image acquired on 09 Dec. 2021. Within the analyzed area of about 300,000 ha, about 13,500 ha of lands appear to be flooded. Along the Jucuruçu river, mainly agricultural lands appear to be flooded. 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). 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: November 12, 2021-November 12, 2021
    This dataset updates: Never
    UNOSAT code: FL20210928THA Summary of finding - Floodwaters observed in 13 provinces as of 11 November 2021; - Receding floodwaters observed in Lower Northeastern Region as of 11 November 2021; - Receding floodwaters observed in Amnat Chareon, Buri Ram, Chaiyaphum, Khon Kaen, and Nakhon Ratchasima provinces as of 11 November 2021; - Floodwaters increase observed in Kalasin, Maha Sarakham, Nong Bua Lam Phu, Roi Et, Si Sa Ket, Surin, Ubon Ratchathani, and Yasothon provinces as of 11 November 2021.
  • Updated 18 February 2022 | Dataset date: October 22, 2021-October 22, 2021
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates satellite-detected water in Rubkona, Koch, and Guit Counties of South Sudan as observed from a Sentinel-2 image acquired on 17 October 2021. Within the cloud free analyzed areas of about 40,000km2, a total of about 5,700 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, ~138,000 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).
  • Updated 18 February 2022 | Dataset date: October 19, 2021-October 19, 2021
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Northeastern part of Thailand as observed from a Sentinel-1 image acquired on 17 Oct 2021 at 18:20 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 60,000 km2 , about 810 km2 of lands appear to be flooded. The water extent appears to have increased of about 220 km2 since 16 October 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 80,000 people mainly located in province of Khon Kaen Province with ~ 24,000 and Nakhon Ratchasima with ~ 22,000 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: October 12, 2021-October 12, 2021
    This dataset updates: Never
    UNOSAT code: FL20211008COD This map illustrates satellite-detected surface waters in Kasenyi town, Gethy Zone de Santé as observed from a Sentrinel-2 acquired on 04 October 2021. Within the analyzed area, the surface waters appears 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 11, 2021-October 11, 2021
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Northeastern part of Thailand as observed from a Sentinel-1 image acquired on 10 Oct 2021 at 06:00 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 60,000 km2 , about 660 km2 of lands appear to be flooded. The water extent appears to have decreased of about 100 km2 since 5 October 2021 and moved toward east part. 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 Khon Kaen with ~ 6,300, Kosum Phisai with ~ 6,000 people, and Phimai with ~ 5,300 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: September 24, 2021-September 24, 2021
    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 22 September 2021 over Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 230 km2 since 12 September 2021. In this area, about 64 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: 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 Guli District, White Nile State of Sudan. The water extent appears to have decreased of about 70 km2 since 14 September 2021. In this area, about 36 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: 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 Guli District, White Nile State of Sudan. In this area, about 55 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: November 25, 2021-November 25, 2021
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 19 to 23 November 2021 compared with the period between 03 to 07 November 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 33,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 660 km2 since the period between 03 to 07 November 2021. Based on Worldpop population data and the detected surface waters, ~880,000 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).
  • Updated 18 February 2022 | Dataset date: November 03, 2021-November 03, 2021
    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. 
  • 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 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)
  • Updated 18 February 2022 | Dataset date: October 22, 2021-October 22, 2021
    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.
  • Updated 18 February 2022 | Dataset date: December 08, 2021-December 08, 2021
    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).
  • Updated 18 February 2022 | Dataset date: November 09, 2021-November 09, 2021
    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).
  • Updated 18 February 2022 | Dataset date: October 21, 2021-October 21, 2021
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 15 to 19 October 2021 compared with the period between 09 to 13 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 48,000 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 10,000 km2 since the period between 09 to 13 October 2021. Based on Worldpop population data and the detected surface waters, ~1,350,000 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).
  • Updated 18 February 2022 | Dataset date: October 26, 2021-October 26, 2021
    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).
  • Updated 18 February 2022 | Dataset date: October 14, 2021-October 14, 2021
    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).
  • Updated 18 February 2022 | Dataset date: October 20, 2021-October 20, 2021
    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).
  • Updated 18 February 2022 | Dataset date: October 08, 2021-October 08, 2021
    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)
  • Updated 18 February 2022 | Dataset date: October 08, 2021-October 08, 2021
    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.
  • Updated 18 February 2022 | Dataset date: October 18, 2021-October 18, 2021
    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).