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  • Updated 16 February 2022 | Dataset date: February 03, 2022-February 03, 2022
    This dataset updates: Never
    UNOSAT code: TC20220126MWI This map illustrates population potentially exposed to floods (cumulative) aggregated by district in Malawi from Sentinel-1 images acquired between 26 January and 2 February 2022 about 05:00 local time. The flood analysis was carried out by using automated analysis with an Artificial Intelligence based method, and Worldpop spatial demographic data. About 102,000 people were exposed or living close to flooded areas. The population potentially exposed to floods are mainly located in the districts of Chikwawa with ~ 33,700 people and Nsanje with ~ 33,700 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 16 February 2022 | Dataset date: January 28, 2022-January 28, 2022
    This dataset updates: Never
    UNOSAT code: TC20220124MOZ This map illustrates satellite-detected surface waters in Zambezia Province, Mozambique as observed from a Sentinel-1 image acquired on 28 January 2021 at 05:00 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 44,000 km2, about 860 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population are mainly located in the districts of Maganja Da Costa with ~22,500 people, Namacurra with ~17,000 people and Pebane with ~7,000 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.
  • Updated 16 February 2022 | Dataset date: January 27, 2022-January 27, 2022
    This dataset updates: Never
    UNOSAT code: TC20220126MWI This map illustrates satellite-detected surface waters in Balaka, Blantyre, Neno, and Zomba districts, Southern region, Malawi as observed from a Sentinel-1 image acquired on 26 January 2021 at 05:16 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 1,000 km2, about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 5,400 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 16 February 2022 | Dataset date: January 26, 2022-January 26, 2022
    This dataset updates: Never
    UNOSAT code: TC20220126MWI This map illustrates satellite-detected surface waters in Malawi and Mozambique as observed from a Sentinel-1 image acquired on 26 January 2021 at 05:16 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 42,000 km2, about 610 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the districts of Chikwawa and Nsanje, Southern region, Malawi with respectively ~ 33,000 people and ~14,300 people, & in Cidade De Tete, Tete province, Mozambique with ~8,200 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.
  • Updated 16 February 2022 | Dataset date: January 14, 2022-January 14, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL A category 5 Tropical Cyclone RAI-21 struck the Philippines on the 16th of December 2021, causing damage, devastation, and destruction. The Tropical Cyclone RAI-21 made landfall north of General Luna city on Siargao Island, the easternmost island of the Philippines, and continued westward through the central part of the country. The Philippines National Disaster Risk Reduction and Management Council (NDRRMC) has stated that 2,182,791 families have been affected in 11 out of 17 regions of the Philippines. About 3M people, ~ 30% of the affected area population – need emergency humanitarian assistance. According to OCHA, the death toll has reached 177 persons, with more than 275 persons injured and 630,000 displaced. More than 159,000 houses have been damaged, 61,900 have been destroyed. These figures are likely to rise as the after-effects of the Tropical Cyclone are fully realized. Preliminary assessment has shown devastating damage to houses, roads, and bridges disrupting aid movement into the affected areas. This report summarizes satellite-derived building damage analysis covering the most affected areas within Region IV-B (Mimaropa), Region VII (Central Visayas), Region VIII (Eastern Visayas), and Region XIII (Caraga) of the Philippines.
  • Updated 16 February 2022 | Dataset date: January 07, 2022-January 07, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Dinagat Island, Region XIII, the Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT and Copernicus EMS identified 3,278 damaged structures, 523 potentially damaged structures, and 3 potentially damaged ports. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 16 February 2022 | Dataset date: January 07, 2022-January 07, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in City of Naga & Minglanilla municipalities, Cebu province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 21 December 2021. Within the analyzed area, UNOSAT identified 876 damaged structures and 1,361 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 16 February 2022 | Dataset date: January 06, 2022-January 06, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Talibon municipality, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 3,103 damaged structures and 933 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 16 February 2022 | Dataset date: January 05, 2022-January 05, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in Bien Unido, Trinidad and Ubay municipalities, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 2,225 damaged structures and 888 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 16 February 2022 | Dataset date: January 05, 2022-January 05, 2022
    This dataset updates: Never
    UNOSAT code: TC20211216PHL This map illustrates potentially damaged structures and buildings in ubay municipality, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 1,751 damaged structures and 220 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 40+ Downloads
    Updated 9 February 2022 | Dataset date: April 12, 2019-April 12, 2019
    This dataset updates: Every day
    This dataset contains key figures and other data pertaining to the evolving humanitarian situation in during the Tropical Cyclone Idai response in Mozambique.
  • 6700+ Downloads
    Updated 12 January 2022 | Dataset date: November 08, 2019-November 08, 2019
    This dataset updates: Never
    DTM is tracking in/out movement of displaced people in 4 Provinces hit by IDAI cyclone.
  • 1000+ Downloads
    Updated 3 December 2021 | Dataset date: October 02, 2019-November 09, 2019
    This dataset updates: Never
    Tropical cyclone Idai, on March 15th 2019, brought torrential rains and winds affecting mostly the provinces of Manica, Sofala and Zambézia, In Mozambique, causing flash flooding and subsequent destruction. This dataset contains DTM assessments containing number of affected people, their needs, geographic locations etc.
  • 20+ Downloads
    Updated 4 May 2021 | Dataset date: November 02, 2012-November 02, 2012
    This dataset updates: Never
    This is "Flood vectors - TerraSAR-X (02 November 2012)" of the Tropical Cyclone analysis for Haiti which began on 30 October 2012. It includes 2,628 satellite detected water bodies with a spatial extent of 4.35 square kilometers derived from the TerraSAR-...
  • 200+ Downloads
    Updated 23 April 2021 | Dataset date: October 05, 2016-October 05, 2016
    This dataset updates: Every day
    Includes Assessment, two shapefiles: basemaps
  • 800+ Downloads
    Updated 23 April 2021 | Dataset date: October 06, 2016-October 06, 2016
    This dataset updates: Every day
    Partial Assessment and 3W matrix ,Hurricane Matthew. as of 06.10.2016
  • 100+ Downloads
    Updated 22 April 2021 | Dataset date: December 08, 2020-February 15, 2021
    This dataset updates: As needed
    Shelter Cluster 4W report (Who does What, Where, and When) for typhoon Goni (Rolly) and Vamco (Ulysses) in the Philippines
  • 500+ Downloads
    Updated 20 April 2021 | Dataset date: March 09, 2016-March 23, 2016
    This dataset updates: Never
    Evacuation Tracking & Monitoring Information Package for ETM Cycle 1 dated 9-23 March 2016
  • 800+ Downloads
    Updated 20 April 2021 | Dataset date: May 31, 2016-June 21, 2016
    This dataset updates: Never
    Information Package for Fiji Evacuation Tracking & Monitoring Cycle 2
  • 100+ Downloads
    Updated 15 January 2021 | Dataset date: January 07, 2021-August 16, 2022
    This dataset updates: Never
    Consolidated information of different events happened in the Philippines in 2020 such, Taal volcano eruption, COVID-19, earthquakes, and typhoons.
  • 10+ Downloads
    Updated 26 December 2020 | Dataset date: November 20, 2020-November 20, 2020
    This dataset updates: Never
    UNOSAT code: TC20201116HND This map illustrates satellite-detected surface waters in Colon and Yoro Departments of Honduras as observed from a Sentinel-1 image acquired on 18 November 2020 at 18:06 Local time. Within the analyzed area of about 5,200 km2, a total of about 220 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 82,000 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.
  • Updated 26 December 2020 | Dataset date: November 23, 2020-November 23, 2020
    This dataset updates: Never
    UNOSAT code: TC20201119GTM This map illustrates satellite-detected surface waters in Peten, Alta Verapaz and Quiche departments of Guatemala & Chiapas state of Mexico as observed from a Sentinel-1 image acquired on 22 November 2020 at 05:53 Local time. Within the analyzed area of about 10,000 km2, a total of about 380 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 24,000 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.
  • Updated 26 December 2020 | Dataset date: November 20, 2020-November 20, 2020
    This dataset updates: Never
    UNOSAT code: TC20201119GTM This map illustrates satellite-detected surface waters in Alta Verapaz, Izabal and Zacapa departments of Guatemala as observed from a Sentinel-1 image acquired on 18 November 2020 at 18:06 local time. Within the analyzed area of about 15,000 km2, a total of about 170 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 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.
  • 10+ Downloads
    Updated 26 December 2020 | Dataset date: November 25, 2020-November 25, 2020
    This dataset updates: Never
    UNOSAT code: TC20201116HND This map illustrates satellite-detected surface waters in Cortes, Atlantida, and Yoro departments of Honduras as observed from a Sentinel-1 image acquired on 23 November 2020 at 05:45 Local time. Within the analyzed area of about 3,500 km2, a total of about 170 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 35,000 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.
  • Updated 26 December 2020 | Dataset date: November 19, 2020-November 19, 2020
    This dataset updates: Never
    UNOSAT code: TC20201116HND This map illustrates satellite-detected surface waters in Atlantida and Yoro Departments of Honduras as observed from a Sentinel-1 image acquired on 18 November 2020 at 05:37 Local time. Within the analyzed area of about 3,000 km2, a total of about 40 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 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.