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UN Operational Satellite Applications Programme (UNOSAT)
Last updated on June 4, 2020
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  • Satellite-detected water extents, as of 10 December 2019, over Epéna District...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Dec 11, 2019
    This dataset updates: Never
    UNOSAT code: FL20191205COG This map illustrates satellite-detected waters in Epéna District, Likouala Department in Republic of Congo, as observed from Sentinel-1 imagery acquired on 10 December 2019. Within the analysed area of about 30,500 km2, 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 UNITAR - UNOSAT. Important note: Flood analysis from SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Satellite detected waters extents, as of 15 December 2019 over Kota Tinggi an...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Dec 19, 2019
    This dataset updates: Never
    UNOSAT code: FL20191217MYS This map illustrates satellite-detected surface water in Kota Tinggi and Mersing district, Johor state of Malaysia as observed from Sentinel-1 imagery acquired on 15 December 2019. Within the analysed extent of about 1,300 km2, a total about 8 km2 of land 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. Important Note: Flood analysis from Sentinel-1 imagery acquired on 15 December 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal
  • Satellite detected waters extents, as of 15 December 2019 over Pahang State o...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Dec 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191217MYS This map illustrates satellite-detected surface water in Kluang and Mersing District, Johor State and Rompin District, Pahang State of Malaysia as observed from Sentinel-1 imagery acquired on 15 December 2019. Within the analysed extent of about 3,500 km2, a total about 23 km2 of land 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. Important Note: Flood analysis from Sentinel-1 imagery acquired on 15 December 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal
  • Satellite detected water extent as of 2 January 2020 over Banten, Dki Jakarta...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Jan 8, 2020
    This dataset updates: Never
    UNOSAT code: FL20200101IDN This map illustrates satellite-detected surface water in Banten, Dki Jakarta and Jawa Barat Province of Indonesia as observed from Sentinel-1 imagery acquired on the 2 January 2020. Approximately 258 km2 of land 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. Important Note: Flood analysis from Sentinel-1 imagery acquired on 2 January 2020 may seriously underestimate presence of standing flood water in built up areas due to backscattering properties of the radar signal.
  • Satellite detected waters extents, as of 18 January 2020 over Konarak Distric...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Jan 21, 2020
    This dataset updates: Never
    UNOSAT code: FL20200117IRN This map illustrates satellite-detected water surface in Konarak District in Sistan Va Baluchestan Province of Iran as observed from Sentinel-2 imagery acquired on 18 January 2020. Within the analysed extent of about 590 km2, a total about 55 km2 of land 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.
  • Satellite-detected flood waters, as of 16 January 2020, over Golmorti, Sistan...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Jan 21, 2020
    This dataset updates: Never
    UNOSAT code: FL20200117IRN This map illustrates satellite-detected waters in Dalgan County, Sistan and Baluchestan Province, Islamic Republic of Iran, as observed from Sentinel-2 imagery acquired on 16 January 2020. Within the analysed area of 2,130 km2, a total of 647 km2 of land appear to be flooded in Dalgan County. Based on Worldpop population data and the detected surface waters, about 2,500 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.
  • Satellite detected water extents, as of 18 January 2020 over Chabahar and Kon...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Jan 22, 2020
    This dataset updates: Never
    UNOSAT code: FL20200117IRN This map illustrates satellite-detected water surface in Chabahar and Konarak County, Sistan Va Baluchestan Province, Islamic Republic of Iran as observed from Sentinel-2 imagery acquired on 18 January 2020. Within the analysed extent of about 730 km2, a total about 63 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 5,900 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.
  • Satellite dected waters extents, as of 02 February 2020 over the Republic of ...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Feb 4, 2020
    This dataset updates: Never
    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.
  • Satellite dected waters extents, as of 13 February 2020 over the Republic of ...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Feb 14, 2020
    This dataset updates: Never
    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.
  • Satellite detected waters extents, as of 4 March 2020 over Central, Luapula,...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Mar 6, 2020
    This dataset updates: Never
    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.
  • Satellite detected waters extents over Northern Zambia
    UN Operational Satellite Applications Programme (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.
  • Satellite detected water extents and damage assessment over the eastern part...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Mar 10, 2020
    This dataset updates: Never
    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.
  • Satellite-detected waters extents over Konarak, Sistan and Baluchestan Provin...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Mar 26, 2020
    This dataset updates: Never
    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.
  • Satellite detected water extents and damage assessment over the northern part...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Mar 10, 2020
    This dataset updates: Never
    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.
  • Satellite detected water & IDP distribution over Belet Weyne Town
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: May 14, 2020
    This dataset updates: Never
    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.
  • Satellite detected water over Belet Weyne Town
    UN Operational Satellite Applications Programme (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.
  • Satellite detected waters in Khulna division, Bangladesh
    UN Operational Satellite Applications Programme (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.
  • Potential impact caused by landslides over Humya city, Bwanba County, Budibu...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Dec 13, 2019
    This dataset updates: Never
    UNOSAT code: LS20191209UGA This map illustrates satellite-detected landslide at in Humya city, Bwanba County, Budibungyo District, Western Region, as seen on Pleiades-1 satellite imagery, 50 cm resolution, collected on 12 December 2019. The landslides and mudflows hit Humyai along the main streams of Bwanba County. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Damage Assessment of San Pascual Municipality, Northeastern Part of the Masba...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Dec 16, 2019
    This dataset updates: Never
    UNOSAT code: TC20191202PHL This map illustrates satellite-based structural damage assessment in San Pascual municipality in the northeastern part of Masbate region, Bicol Region province, in the Philippines. The area was affected by Typhoon Kammuri that made landfall on 3 December 2019. UNITAR-UNOSAT identified 16 potentially damaged structures around San Pascual town, in the San Pascual municipality, within the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Eaux de surface détectées par satellite en République de Madagascar
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Jan 29, 2020
    This dataset updates: Never
    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.
  • Satellite-derived flood assessment in Luapula and Northern provinces, Republi...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Mar 12, 2020
    This dataset updates: Never
    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
  • Damage Assessment in Luganville Municipality, Sanma Province, Vanuatu
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 3, 2020 | Dataset date: Apr 9, 2020
    This dataset updates: Never
    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.
  • Damage Assessment in Malo Island, Sanma Province, Vanuatu
    UN Operational Satellite Applications Programme (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.
  • Damage Assessment in CanalFanafo, Luganville and South East Santo Municipalit...
    UN Operational Satellite Applications Programme (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 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.
  • Damage Assessment in Malampa Province, Vanuatu
    UN Operational Satellite Applications Programme (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.