United Nations Satellite Centre (UNOSAT)
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  • Updated 22 March 2022 | Dataset date: March 04, 2022-March 04, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Ambohimahasoa, Isandra, Lalangina, And Vohibato Districts, Haute Matsiatra Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed area about 2,000 km2, a total of about 130 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Updated 22 March 2022 | Dataset date: March 03, 2022-March 03, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Farafangana and Vondrozo Districts, Atsimo Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00  local time. Within the analyzed area of about 1,000 km2, about 110 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 12,000 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 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).
  • Updated 22 March 2022 | Dataset date: March 02, 2022-March 02, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Iakora and Ivohibe Districts, Ihorombe Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 150 km2, a total of about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,200 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 22 March 2022 | Dataset date: March 02, 2022-March 02, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Mahanoro District, Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 450 km2, a total of about 40 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,500 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 United Nations Satellite Centre (UNOSAT).
  • Updated 22 March 2022 | Dataset date: March 02, 2022-March 02, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Mananjary and Nosy-Varika Districts, Vatovavy Fitovinany Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 800km2, a total of about 105 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 13,400 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 22 March 2022 | Dataset date: March 02, 2022-March 02, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Vangaindrano district, Atsimo Atsinanana region, Madagascar as observed from a Sentinel-2 image acquired on 1 March 2022 at 10:00 local time. Within the analyzed cloud free zones of about 300km2, a total of about 25 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 5,500 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 United Nations Satellite Centre (UNOSAT).
  • Updated 22 March 2022 | Dataset date: March 01, 2022-March 01, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Ifotaka commune, Amboasary-Atsimo district, Anosy region, Madagascar as observed from an RCM-2 image acquired on 28 February 2022 at 05:16  local time. Within the analyzed area of about 330 km2, about 13 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 650 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.
  • Updated 22 March 2022 | Dataset date: February 28, 2022-February 28, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Mananjary district, Vatovavy Fitovinany region, Madagascar as observed from a Sentinel-1 image acquired on 27 February 2022 at 05:12 local time. Within the analyzed area of about 200 km2, about 6 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 200 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.
  • Updated 22 March 2022 | Dataset date: February 28, 2022-February 28, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Farafangana and Vangaindrano districts, Atsimo Atsinanana region, Madagascar as observed from a Sentinel-1 image acquired on 27 February 2022 at 05:12 local time. Within the analyzed area of about 500 km2, about 18 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,500 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 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 22 March 2022 | Dataset date: February 28, 2022-February 28, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Taolagnaro District, Anosy Region, Madagascar as observed from a TerraSAR-X image acquired on 26 February 2022 at 18:15 local time. Within the analyzed area of about 140 km2, about 4 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 400 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.
  • Updated 22 March 2022 | Dataset date: February 25, 2022-February 25, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Manakara Atsimo district, Vatovavy Fitovinany region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time.  Within the analyzed cloud free zones of about 3,000 km2, a total of about 200 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 39,000 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 22 March 2022 | Dataset date: February 25, 2022-February 25, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters in Vangaindrano district, Atsimo Atsinanana region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time.  Within the analyzed cloud free zones of about 300km2, a total of about 56 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 12,500 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 United Nations Satellite Centre (UNOSAT).
  • Updated 22 March 2022 | Dataset date: February 25, 2022-February 25, 2022
    This dataset updates: Never
    UNOSAT code: TC20220221MDG This map illustrates satellite-detected surface waters over Betroka district, Anosy region, Madagascar observed from Sentinel-1 image acquired on 24 February 2022 at 18:34 local time. The flood analysis were carried out by using an automated analysis with Artificial Intelligence based methods. Within the analyzed area about ~1,000 km2, a total of about 15 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 900 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that 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 30, 2021-December 30, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Jimalalud and La Libertad municipalities, Negros Oriental province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 22 December 2021. Within the analyzed area, UNOSAT identified 566 damaged structures and 154 potentially damaged structures. 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: December 29, 2021-December 29, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in City of Carcar and San Fernando municipalities, Cebu province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021 & a GeoEye-1 image acquired on 20 December 2021. Within the analyzed area, UNOSAT identified 1929 damaged structures. 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: December 23, 2021-December 23, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures/buildings in Roxas town, Palawan province, Region IV-B (Mimaropa) of Philippines as observed from a Pleiades image acquired on 21 December 2021 after landfall of the Tropical Cyclone RAI-21. Within the analysis extent, UNITAR-UNOSAT identified 280 damaged structures and 265 potentially damaged structures including Roxas Medicare Hospital and 6 potentially damaged education facilities. 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: December 23, 2021-December 23, 2021
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures/buildings in Bucas Grande Island, Socorro, Surigao del Norte of Philippines as detected by WorldView-3 image acquired on 17 December 2021. Within the analyzed area, UNOSAT has identified 351 damaged structures, 129 potentially damaged structures, 5 road obstacles and 1 destroyed bridge. 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 18 February 2022 | Dataset date: December 15, 2021-December 15, 2021
    This dataset updates: Never
    UNOSAT code: VO20211205IDN This map illustrates the potentially affected areas by Lahar and Pyroclastic density currents (PDCs) including geological information of Mount Semeru, Java province, Indonesia as detected by satellite images acquired after the eruption of the Mount Semeru on 4 Dec 2021. UNITAR-UNOSAT analysis used Pleiades images acquired on 10 & 11 Dec 2021 to estimate the affected area by Lahar and Pyroclastic density currents. Within the analyzed area, about 3,220 ha appear to be affected. Based on Worldpop population data and affected area by Lahar and pyroclastic density currents, about 8,400 people are potentially exposed or living close to pyroclastic density area. In addition, base on Esri 2020 Land Cover, potentially affected in tree area ~2,100ha, scrub/shrub area ~ 400 ha, cropland ~ 165 ha, built area ~ 140 ha. Important note: Pyroclastic density currents (PDCs) are perhaps the most hazardous events to local areas during explosive volcanic eruptions. 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: 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.