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  • 20+ Downloads
    Updated 20 July 2021 | Dataset date: May 05, 2020-May 05, 2020
    This dataset updates: Every day
    Living Atlas live feed sources for hurricane path, observed path, forecast path, and intensity of tropical cyclone activity (hurricanes, typhoons, cyclones) from the National Hurricane Center and Joint Typhoon Warning Center
  • Updated 4 May 2021 | Dataset date: November 02, 2012-November 02, 2012
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (02 November 2012)" of the Tropical Cyclone analysis for Haiti which began on 30 October 2012. It includes 5,842 satellite detected water bodies with a spatial extent of 319.98 square kilometers derived from the Radarsa...
  • 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
  • 700+ 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
  • 80+ 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
  • 400+ 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
  • 700+ 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
  • 2400+ Downloads
    Updated 11 March 2021 | Dataset date: January 25, 2021-January 29, 2021
    This dataset updates: Every six months
    Tropical Cyclone Idai made landfall in central Mozambique the night of 14 March 2019. On 27 March 2019, IOM in coordination with the Government of Mozambique carried out site assessments in 32 evacuation sites in the Beira district in the Sofala province of Mozambique one of the provinces affected by the storm.
  • 70+ Downloads
    Updated 15 January 2021 | Dataset date: January 07, 2021-July 27, 2021
    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 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 Olancho Department 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 4,400 km2, a total of about 32 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 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 Colon 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 12,000 km2, a total of about 80 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 4,000 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: 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 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.
  • 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 Petén department 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 3,400 km2, a total of about 100 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 4,200 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.
  • Updated 26 December 2020 | Dataset date: November 25, 2020-November 25, 2020
    This dataset updates: Never
    UNOSAT code: TC20201119GTM This map illustrates satellite-detected surface waters in Izabal department of Guatemala as observed from a Sentinel-1 image acquired on 23 November 2020 at 05:45 Local time. Within the analyzed area of about 6,000 km2, a total of about 150 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 8,600 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.
  • 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.
  • 1900+ Downloads
    Updated 21 December 2020 | Dataset date: January 01, 2019-October 31, 2020
    This dataset updates: Every six months
    DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
  • Updated 20 December 2020 | Dataset date: November 16, 2020-November 16, 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected mudslide extent in the Historical Cagsawa and surrounding in Daraga Municipality, Albay Province, Bicol Region, Philippines as observed on Pleiades image acquired on 13th of November 2020 at 10:47 Local time. About 80 buildings are identified as damaged and 30 as potentially damaged. Some roads were also identified as potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 20 December 2020 | Dataset date: November 16, 2020-November 16, 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in CAR and Cagayan Valley regions, Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 17:58 local time. Within the analyzed area of about 18,000 km2, a total of about 970 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 370,000 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 20 December 2020 | Dataset date: November 13, 2020-November 13, 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Donsol and Pilar municipalities, Sorsogon province, Bicol region of Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 05:30 local time. Within the analyzed area of about 180 km2, a total of about 3 km2 of lands appear to be flooded. The water extent appears to have receded of about 3 km2 since 12 November 2020. 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.
  • Updated 20 December 2020 | Dataset date: November 12, 2020-November 12, 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Calauag and Lopez municipalities of Quezon province of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 260 km2, a total of about 20 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 8,300 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 20 December 2020 | Dataset date: November 12, 2020-November 12, 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Camarines Norte province of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 650 km2, a total of about 60 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 32,000 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.