Datasets [20535] | Archived Datasets[2827] [?]
  • Time Period of the Dataset [?]: March 23, 2023-March 23, 2023 ... More
    Modified [?]: 24 March 2023
    Dataset Added on HDX [?]: 24 March 2023
    UNOSAT code FL20230321KEN Status: Increased water extent observed Further action(s): continue monitoring Summary of findings: Increased water observed along Lagh Dera River in the vicinity of Dagahaley Refugee Camp as of 21 March 2023; Cloud cover over Dagahaley and Ifo Refugee Camp as of 21 March 2023; Potentially flooded areas observed in Dadaab town as of 21 March 2023; Increased water in the whole river basin observed around the Dadaab Refugee Complex as of 21 March 2023.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 22, 2023-March 22, 2023 ... More
    Modified [?]: 23 March 2023
    Dataset Added on HDX [?]: 23 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected water using Sentinel-2 acquired on 21 March 2023, 09:55 local time over the intersection between Shire river and Zambezi rivers in Sofala, Tete and Zambezia Provinces of Mozambique. Within the cloud free analyzed areas of about 20,000 km², a total of about 2,400 km² of lands appear to be affected with flood waters. Based on Worldpop population data and flood water extent, ~180,000 people are potentially exposed or living close to flooded areas mainly located in Mutarara district, Tete province with ~62,000 people, Caia district, Sofala province with ~38,200 people and Mopeia district, Zambezia province with ~34,000 people 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).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 21, 2023-March 21, 2023 ... More
    Modified [?]: 22 March 2023
    Dataset Added on HDX [?]: 22 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates cumulative satellite-detected water using VIIRS in Mozambique between 15 to 19 March 2023. Within the cloud free analyzed areas of about 600,000 km², a total of about 21,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximal flood water extent ~1,400,000 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).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 17, 2023-March 17, 2023 ... More
    Modified [?]: 18 March 2023
    Dataset Added on HDX [?]: 18 March 2023
    UNOSAT code TC20230314MWI, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Southern Region, Malawi & Tete and Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 17 Mar. 2023 at 05:09 local time. Within the analyzed area in Malawi of about 5,000 km2, about 320 km2 of land appear to be flooded. Water extent appears to have increased of about 60km² since the 14 Mar. 2023. Within the analyzed area in Mozambique of about 20,500 km2, about 1,000 km2 of land appear to be flooded. Water extent appears to have increased of about 150km² since the 14 Mar. 2023. Based on Worldpop population data and the detected surface waters in the analyzed area in Malawi and Mozambique, respectively ~47,000 people and ~75,000 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 17, 2023-March 17, 2023 ... More
    Modified [?]: 18 March 2023
    Dataset Added on HDX [?]: 18 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Sofala and Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 17 Mar. 2023 at 03:09 local time. Within the analyzed area of about 27,000 km2, about 1,800 km2 of lands appear to be flooded. Water extent appears to have increased of about 900 km2 since the 13 March 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in Zambezia province, including the district of Namacurra, with ~39,00 people, Nicoadala with ~32,000 people and Maganja Da Costa with ~ 23,000 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.
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 16, 2023-March 16, 2023 ... More
    Modified [?]: 17 March 2023
    Dataset Added on HDX [?]: 17 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Matutuine District, Maputo Province, Mozambique as observed from a Sentinel-1 image acquired on 14 Mar. 2023 at 18:30 local time and using an automated analysis with a machine learning method. Within the analyzed area of about 2,800 km2, about 30 km2 of land appear to be flooded. Water extent appears to have decreased by about 33 km2 since 2 Mar. 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the Bela Vista district, with ~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 the backscattering properties of the radar signal.
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 16, 2023-March 16, 2023 ... More
    Modified [?]: 17 March 2023
    Dataset Added on HDX [?]: 17 March 2023
    UNOSAT code EQ20230206SYR, GDACS Id: 1357372 This report provides satellite-based comprehensive damage assessment results over Syria following the 06th of February 2023 Marash/Antep earthquakes sequence which struck southern Türkiye and north-western parts of Syria. The mainshock measured a magnitude of 7.8 and occurred at a crucial moment, 4:15 am local time, when most people were at home sleeping. It was a shallow depth earthquake with an epicentre located about 35 km north-west of the Turkish city of Gaziantep. These earthquakes caused more than 46,000 deaths in Türkyie and over 4,500 in northwest Syria. The humanitarian community estimated that 8.8 million people live in the most affected areas in Syria. Overall, 170 sub-districts in 43 districts in 10 of Syria’s governorates have been impacted by the earthquake. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    20+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 15, 2023-March 15, 2023 ... More
    Modified [?]: 16 March 2023
    Dataset Added on HDX [?]: 16 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Vilankulo Town, Inhambane Province, Mozambique as observed from a WorldView-3 image acquired 13 March 2023 at 09:40 local time and Pleiades image acquired 10 March 2023 at 09:48 local time. Within the analysis extent of about 2,800 hectares, approximately 35 hectares of land appear to be flooded. Based on Worldpop population data and the detected surface waters within the analysis extent, approximately 350 people are potentially exposed to or living close to flooded areas along with 71 structures and potentially affected road 290 meter by flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 13, 2023-March 13, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 15 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Sofala and Zambezia Provinces, Mozambique as observed from an RCM-2 image acquired on 13 Mar. 2023 at 05:01 local time. Within the analyzed area of about 24,000 km2, about 900 km2 of land 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 Zambezia province, including the district of Namacurra, with ~27,200 people, Nicoadala with ~22,500 people, and Cidade De Quelimane with ~ 15,600 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 the backscattering properties of the radar signal.
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 14, 2023-March 14, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 15 March 2023
    UNOSAT code TC20230314MWI, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Southern Region, Malawi as observed from a RCM-2 image acquired on 14 Mar. 2023 at 05:10 local time. Within the analyzed area of about 7,200 km2, about 430 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, ~75,000 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 13, 2023-March 13, 2023 ... More
    Modified [?]: 14 March 2023
    Dataset Added on HDX [?]: 14 March 2023
    UNOSAT code TC20230227VUT, GDACS Id: 1000965 Status: Landslide, potentially affected road and damaged houses observed. Further action(s): Continue monitoring Summary of findings; Based on satellite images acquired on 04th, 09th and 11th of March 2023, the findings are the following:  Tanna Island, Tafea Province; Widespread affected forest observed over Tanna Island; Potentially affected houses observed in West Tanna  Council, Tafea Province; Widespread damaged houses observed in Lawir Village, Tanna Island, North Tanna Council, Tafea Province; Efate Island, Shefa Province; Widepsread affected forest observed over Efate Island; Tongoa Island, Shefa Province Widespread affected forest observed over Tongoa Island; South Pentecost Island, Penama Province No visible affected forest observed over cloud free areas in South Pentecost Island, South Pentecost Council, Penama Province; Ambae Island, West Ambae Council, Penama Province; Landslide observed in Ambae Island, West Ambae Council, Penama Province ;   Affected shoreline observed in Ambae Island, West Ambae Council, Penama Province ; Potentially affected road and potentially affected houses observed in Ambae Island, West Ambae Council, Penama Province ; Malekula Island, Malampa Province; Affected shoreline observed in South Malekula Council, Malampa Province;
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 13, 2023-March 13, 2023 ... More
    Modified [?]: 11 March 2023
    Dataset Added on HDX [?]: 11 March 2023
    UNOSAT code TC20230227VUT, GDACS Id: 1000965 This map illustrates damaged and potentially damaged structures and buildings in Tanna Island, Tafea Province of Vanuatu as detected using WorldView-2 satellite image acquired on 04 March 2023 after the passage of Kevin and Judy tropical cyclones. Within the analysed area UNOSAT identified 57 damaged and 88 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 08, 2023-March 08, 2023 ... More
    Modified [?]: 10 March 2023
    Dataset Added on HDX [?]: 9 March 2023
    UNOSAT code TC20230227VUT, GDACS Id: 1000965 This map illustrates damaged and potentially damaged structures and buildings in Luganville and South East Santo Councils of Vanuatu as detected using Pleiades satellite images acquired on 04 & 06 March 2023 after the passage of Kevin and Judy tropical cyclones. Within the analysed area UNOSAT identified 46 damaged and/or potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 07, 2023-March 07, 2023 ... More
    Modified [?]: 9 March 2023
    Dataset Added on HDX [?]: 8 March 2023
    UNOSAT code TC20230227VUT, GDACS Id: 1000965 This map illustrates damaged and potentially damaged structures and buildings in Aniwa Island, Tafea Province of Vanuatu as detected using Pleiades satellite image acquired on 04 March 2023 after the passage of Kevin and Judy tropical cyclones. Within the analysed area UNOSAT identified 38 damaged and 67 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 07, 2023-March 07, 2023 ... More
    Modified [?]: 8 March 2023
    Dataset Added on HDX [?]: 8 March 2023
    UNOSAT code FL20221121PAK Status: Overall decrease of flood waters observed Further action(s): continue monitoring Evolution of Cumulative Flood Waters over I.R. of Pakistan (11-15 February 2023 Vs 24-28 February 2023): Between 24 and 28 February 2023 approximately 1.8 million people are potentially exposed or living close to maximum floodwaters areas(); Approximately 420,000 people are potentially exposed or living close to minimum floodwaters areas(*) between 24 and 28 February 2023; Based on satellite observations between 11 and 15 February 2023 and compared with observations between 24 and 28 February 2023 , the maximum flood water extent appears to continue to retract with approximately ~ -850 km² in Sindh , ~ - 150 km² in Punjab, ~ -140 km²  in Balochistan and ~ - 60 km²  in Khyber Pakhtunkhwa.
    20+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 07, 2023-March 07, 2023 ... More
    Modified [?]: 8 March 2023
    Dataset Added on HDX [?]: 8 March 2023
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 March 2023 compared with the period from 20 to 24 February 2023. Within the cloud free analyzed areas of about 630,000 km², a total of about 30,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 5,000 km² since the period between 20 to 24 February 2023. Based on Worldpop population data and the maximal flood water extent ~480,000 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).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 06, 2023-March 06, 2023 ... More
    Modified [?]: 7 March 2023
    Dataset Added on HDX [?]: 7 March 2023
    UNOSAT code EQ20230206SYR, GDACS Id: 1357372 This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Killi in Idlib district (Aleppo governorate), Syria as detected from a Pleiades very highresolution satellite image acquired on 16 February 2023. UNOSAT 11 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 09, 2023-February 09, 2023 ... More
    Modified [?]: 4 March 2023
    Dataset Added on HDX [?]: 9 February 2023
    UNOSAT code EQ20230206SYR, GDACS Id: 1357372 This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Lilawa Village, Jarablus District, Aleppo Governorate, Syria as detected by a Worldview-3 Very high-resolution satellite image acquired on 7 February 2023. Within this village, UNOSAT identified 30 damaged structures and 68 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    20+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 27, 2023-March 03, 2023 ... More
    Modified [?]: 3 March 2023
    Dataset Added on HDX [?]: 28 August 2023
    A cyclone (tropical storm) during the period Feb 27 2023-Mar 03 2023 in Vanuatu. It impacted 190950 people.
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP Advanced Disaster Analysis and Mapping - Cyclone Data
  • Time Period of the Dataset [?]: February 27, 2023-February 27, 2023 ... More
    Modified [?]: 28 February 2023
    Dataset Added on HDX [?]: 28 February 2023
    UNOSAT code TC20230221MDG, GDACS Id: 1000961 This map illustrates satellite-detected water in Vohipeno district, Vatovavy Fitovinany region, Madagascar from a TerraSAR-X imagery acquired on 23 February 2023 at 05:19 local time. Within the analyzed area of about 1,100 km2, about 40 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 231,000 people live within the analysed area while 10,000 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 24, 2023-February 24, 2023 ... More
    Modified [?]: 25 February 2023
    Dataset Added on HDX [?]: 25 February 2023
    UNOSAT code TC20230221MDG, GDACS Id: 1000961 This map illustrates satellite-detected water in Manakara Atsimo District, Vatovavy Fitovinany Region, Madagascar from a TerraSAR-X imagery acquired on 23 February 2023 at 15:15 local time. Within the analyzed area of about 530 km2, about 16 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 87,000 people live within the analysed area while 4,100 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).
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 19, 2023-February 19, 2023 ... More
    Modified [?]: 20 February 2023
    Dataset Added on HDX [?]: 20 February 2023
    UNOSAT code EQ20230206SYR, GDACS Id: 1357372 This map illustrates the Potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Azaz City (Aleppo governorate) in Syria as detected from a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within the analyzed area of about 30km2, UNOSAT identified 18 damaged structures and 73 potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 16, 2023-February 16, 2023 ... More
    Modified [?]: 17 February 2023
    Dataset Added on HDX [?]: 17 February 2023
    UNOSAT code EQ20230206SYR, GDACS Id: 1357372 This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Jisr al-Shughur City, (Idleb Governorate) in Syria as detected by using a Pleiades very high-resolution satellite image acquired on 9 February 2023. Within analyzed area, UNOSAT identified 75 damaged/potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 17, 2023-February 17, 2023 ... More
    Modified [?]: 17 February 2023
    Dataset Added on HDX [?]: 17 February 2023
    UNOSAT code EQ20230206SYR, GDACS Id: 1357372 This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Al Bab and surrounding areas of Qabasin and Bza'a in Aleppo governorate as detected from a Pleiades very high-resolution satellite image acquired on 11 February 2023. Within the analyzed area, UNOSAT identified 37 damaged structures and 168 potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).Centre (UNOSAT).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 16, 2023-February 16, 2023 ... More
    Modified [?]: 16 February 2023
    Dataset Added on HDX [?]: 16 February 2023
    UNOSAT code FL20230131ZMB This map illustrates cumulative satellite-detected water using VIIRS in Zambia between 07 to 11 February 2023. Within the cloud free analysed areas of about 653,000 km² and based on Worldpop spatial demographic data and the maximum flood water extent, about 400,000 people out of 19 million are potentially exposed or living close to maximum floodwaters 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).
    10+ Downloads
    This dataset updates: Never