UN Operational Satellite Applications Programme (UNOSAT)
Last updated on June 4, 2020
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  • UNOSAT code: TC20200518BGD This map illustrates satellite-detected surface waters in Bagerhat, Jessore, Khulna, Narail, and Satkhira district of Khulna division, Bangladesh as observed from a Sentinel-1 image acquired on 31 May 2020. Within the analyzed area of about 8,320 km2, a total of about 462 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated June 3, 2020 | Dataset date: May 26, 2020
    This dataset updates: Never
    UNOSAT code: TC20200518BGD This map illustrates satellite-detected surface waters in Bagerhat, Jessore, Khulna, Narail, and Satkhira district of Khulna division, Bangladesh as observed from a Sentinel-1 image acquired on 25 May 2020. Within the analyzed area of about 8,320 km2, a total of about 1,000 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated June 3, 2020 | Dataset date: May 18, 2020
    This dataset updates: Never
    UNOSAT code: FL20200428SOM This map illustrates the flood-affected sectors of Beletweyne town in Hiraan Region, Somalia as detected from the analysis of an ICEYE satellite image acquired on 16 May 2020. Within the analysed area of about 30 km2, a total of 8 km2 of land appear to be flooded in BeletWeyne town and surroundings. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: FL20200428SOM This map illustrates the flood-affected sectors of Beletweyne town in Hiiran Region, Somalia as detected from the analysis of a satellite Worldview-2 images acquired on the 13 May 2020. Belet Weyne is heavily affected by floods and about 50% of the town and its vicinity is largely inundated; the sectors called Kutimbo, Radar, and Lamagalay Regional Military Base appear to be the most affected by floodwaters as of 13 May 2020. More than 110 IDP sites are located inside of the town and 25% of them are located within the completely flooded areas. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: Apr 28, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Meawo Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 21 and 27 April 2020 as post event images, Within the island boundary, UNITAR-UNOSAT identified in the cloud free zones about 20 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 2% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in West Santo and South Santo Municipality, Sanma Province, Vanuatu as detected using WorldView-2 satellite images acquired on 17 and 19 April 2020 and a Pleiades satellite image acquired on 27 April 2020. Within the analyzed zone, UNITAR-UNOSAT identified in the cloud-free zones about 3,650 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 63 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: Apr 27, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Ambae Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a WorldView-2 image acquired on 20 April 2020 and Pleiades image acquired on 21 April 2020 as post event images, Within the Island extent, UNITAR-UNOSAT identified in the cloud free zones about 60 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 1% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: Apr 24, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Paama Island, Malampa Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 21 April 2020 as post event images, Within the island boundary, UNITAR-UNOSAT identified in the cloud free zones about 100 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 30% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: TC20200408FJI This map illustrates potentially damaged structures, buildings and their related density in Kadavu Province, Eastern Division, Republic of Fiji as detected by satellite images acquired on 12 April 2020. Within the Kadavu Province, UNITAR-UNOSAT identified in the cloud free zones 1,003 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 22% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in south of Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis identified about 5,200 potentially damaged structures in the analysis extent across the south of Sanma province within the cloud free areas. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 33% of the total number of structures/buildings within the analyzed cloud free areas. Please note that some areas could not be analyzed due to the cloud cover. Total and final estimates by municipality are summarized in the table below. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: TC20200408FJI This map illustrates potentially damaged structures and buildings in Ono-i-Lau, Lau Province, Eastern Division, Republic of Fiji as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 08 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 10 April 2020. Within Ono District, UNITAR-UNOSAT identified 23 potentially damages structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 8% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • UNOSAT code: TC20200408FJI This map illustrates potentially damaged structures and buildings in Kadavu Province, Eastern Division, Republic of Fiji as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 08 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 12 April 2020. Within the Kadavu Province boundary, UNITAR-UNOSAT identified in the cloud free zones 1,003 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 22% of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated June 3, 2020 | Dataset date: Apr 10, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Malampa Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7, 8 and 9 April 2020 as post event images. Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 25 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents less than 1 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Canal-Fanafo, Luganville and South East Santo Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7, 8 and 9 April 2020 as post event images, Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 3,490 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: Apr 10, 2020
    This dataset updates: Never
    UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in West Malo and East Malo Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7 and 10 April 2020 as post event images, Within the Island extent, UNITAR-UNOSAT identified in the cloud free zones 1,345 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 45 % of the total number of structures within the analyzed cloud-free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in Luganville Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7 April 2020 as post event image. Within the Luganville Municipality boundary, UNITAR-UNOSAT identified in the cloud free zones 1,972 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: FL20200324IRN This map illustrates satellite-detected water surface in Konarak County, Sistan and Baluchestan Province, Islamic Republic of Iran, as observed from Sentinel-2 imagery acquired on 23 March 2020. Within the analysed area of about 1,100 km2, a total of 56 km2 of land appear to be flooded in Konarak County. Based on Worldpop population data and the detected surface waters, about 3,700 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.
  • UNOSAT code: FL20200305ZMB Status: Floods detected in Lunga district Further actions(s): monitoring over AOI completed Preliminary observations, impact and severity: AOI 1: No satellite-detected waters in Chaba city or its vicinity as of 09 March 2020 AOI 2: Mofu city appears to have no evidences of satellite-detected waters as of 09 March 2020 AOI 3: No satellite-detected waters in Samfya city as of 10 March 2020 AOI 4: Satellite-detected waters northern and eastern part of Ncheta island affecting the agricultural fields nearby as of 07 March 2020
  • UNOSAT code: FL20200305ZMB This map illustrates satellite-detected water extents in the eastern part of Ncheta Island, Lunga District, Luapula Province, Republic of Zambia as observed form Pleiades imagery acquired on 7 March 2020. Within the analyzed area several hectares of land appear to be flooded and 29 structures out of 300 are likely flooded within this area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: FL20200305ZMB This map illustrates satellite-detected water extents in the northern part of Ncheta Island, Lunga District, Luapula Province, Republic of Zambia as observed form Pleiades imagery acquired on 7 March 2020. Within the analyzed area, a total of about 100ha of land appears to be flooded and 115 structures are completely flooded which represents about 20% of total structures in this zone. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated June 3, 2020 | Dataset date: Mar 6, 2020
    This dataset updates: Never
    UNOSAT code: FL20200305ZMB This map illustrates satellite-detected water via VIIRS-NOAA over Central, Luapula, Muchinga and Northern Province in Republic of Zambia between the 1st and the 05th March 2020. Within the analysed extent not covered by clouds, a total of about 10,000 km2 appear to be flooded. Based on Worldpop population about 28,000 people were potentially exposed or living close to flooded areas in Lunga district. This is a preliminary analysis and has not yet been validated in the field. Please send ground fedback to UNITAR - UNOSAT.
  • UNOSAT code: FL20200305ZMB This map illustrates satellite-detected waters in Chitambo, Lunga, Samfya, Lavushimanda and Chilubi District; Central, Luapula, Muchinga and Northern Province of Zambia as observed from Sentinel-1 imagery acquired on 4 March 2020. Within the analysed area of 10,000 km2, a total of about 705 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 7,000 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 UNITARUNOSAT.
  • UNOSAT code: FL20200128MDG This maps illustrates satellite-detected water via VIIRS-NOAA on the center and the northern part of the Republic of Madagascar between the 09 and the 13 February 2020. Within the analysed extent not covered by clouds, a total of about 9,116 km2 appear to be flooded, of which about 2,098 km2, 1,366 km2 and 834 km2 in Boeny, Melaky and Alaotra-Mangoro region respectively. Based on Worldpop population data and the detected surface waters, about 1,300,000 people are potentially exposed or living close to flooded areas. In Boeny, Melaky and Alaotra-Mangoro regions, respectively 170,000; 35,000 and 80,000 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.
  • UNOSAT code: FL20200128MDG This maps illustrates satellite-detected water via VIIRS-NOAA on the center and the northern part of the Republic of Madagascar between the 29 January and the 02 February 2020. Within the analysed extent not covered by clouds, a total of about 9,718 km2 appear to be flooded, of which about 2,309 km2 and 851 km2 in Boeny and Alaotra-Mangoro region respectively. Based on Worldpop population data and the detected surface waters, about 1,400,000 people are potentially exposed or living close to flooded areas. In Boeny and Alaotra-Mangoro regions, respectively 144,000 and 70,000 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.
  • UNOSAT code: FL20200128MDG Cette carte illustre les eaux de surface détectées via le capteur VIIRS-NOAA sur le centre et le nord de la république de Madagascar entre le 23 janvier et le 27 Janvier 2020. Dans la zone analysée non couverte par les nuages, environ 850,000 personnes sont exposées ou vivent à proximité des zones inondées qui couvrent 9,475 km2. Les plaines du nord-ouest situées dans les régions de Boeny, Sofia et Alaotra Mangoro semblent être particulièrement impactées par les inondations en cours. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires à UNITAR-UNOSAT.