Datasets [20535] | Archived Datasets[2827] [?]
  • Time Period of the Dataset [?]: May 11, 2023-May 11, 2023 ... More
    Modified [?]: 12 May 2023
    Dataset Added on HDX [?]: 12 May 2023
    UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected surface waters and the potentially affected structures/roads along the Mukungwa River, Western & Northern Province, Rwanda as detected from a Pléiades image acquired on the 10th May 2023. Within the analysis extent of about 22 km2, 10 structures and 05 road segments appear to be potentially affected. 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 [?]: May 09, 2023-May 09, 2023 ... More
    Modified [?]: 11 May 2023
    Dataset Added on HDX [?]: 11 May 2023
    UNOSAT code FL20230508COD, GDACS Id: 1101981 This map illustrates the potentially damaged structures/buildings affected by landslides in Chabondo village, Kalehe Territory, Sud-Kivu Province, DR. of the Congo as detected from a Pleiades image acquired on the 09th May 2023. Within the extent of this map, at least 544 structures appear to be affected or potentially affected by landslides. 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 [?]: May 10, 2023-May 10, 2023 ... More
    Modified [?]: 11 May 2023
    Dataset Added on HDX [?]: 11 May 2023
    UNOSAT code FL20230508COD, GDACS Id: 1101981 This map illustrates the potentially damaged structures/buildings affected by landslides in Nyabibwe Town, Kalehe Territory, Sud-Kivu Province, DR. of the Congo as detected from a Pleiades image acquired on the 09th May 2023. Within the extent of this map, at least 623 structures appear to be affected or potentially affected by landslides. 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 [?]: May 09, 2023-May 09, 2023 ... More
    Modified [?]: 10 May 2023
    Dataset Added on HDX [?]: 10 May 2023
    UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected landslides / mudslides around Kibingo, Congonil, Kagana and Ghanga Villages in Rutsiro District (Western Province, Rwanda) as observed/detected from a Sentinel-2 satellite imagery acquired on 07 May 2023 at 08:30 local time. Within the analysed area, about 2,5 km2 of landslides scars are observed. Some of past landslides seem to have been reactivated during these flooding/landslides event. 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 [?]: May 09, 2023-May 09, 2023 ... More
    Modified [?]: 10 May 2023
    Dataset Added on HDX [?]: 10 May 2023
    UNOSAT code FL20230504RWA, GDACS Id: 1101977 Status: Washed away structures and damaged transportation network observed along the Sebaya River Further action(s): Continue monitoring Landslides /mudslides observed in Rubavu District, Western Province as of 6 May 2023; Washed away structures observed along the Sebaya River in Rubavu District, Western Province as of 6 May 2023; Damaged roads and damaged bridge by landslide/mudslide observed along the Sebaya River in Rubavu District, Western Province as of 6 May 2023;
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 09, 2023-May 09, 2023 ... More
    Modified [?]: 10 May 2023
    Dataset Added on HDX [?]: 10 May 2023
    UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected surface waters in Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda as observed from a Sentinel-1 image acquired on 5 May 2023 at 05:45 local time. Within the analyzed area of about 6,000 km², about 54 km² of land appear to be flooded. Water extent appears to have increased by about 34km² since 3 May 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, about 34,600 people are potentially exposed or living close flooded areas mainly along the Nyabarongo river, the potentially exposed population is mainly located in Southern Province with ~11,000 people, and Eastern Province with ~6,000 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 the backscattering properties of the radar signal.
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 09, 2023-May 09, 2023 ... More
    Modified [?]: 9 May 2023
    Dataset Added on HDX [?]: 9 May 2023
    UNOSAT code FL20230508COD, GDACS Id: 1101981 This map illustrates satellite-detected landslides/mudflow-related impact in Kalehe Territory, Sud-Kivu Province, Democratic Republic of the Congo as observed from a Sentinel-2 image acquired on 7 May 2023. Within the analysed area of about 9,000 ha, 90 ha of landslide scars were observed. 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 [?]: May 08, 2023-May 08, 2023 ... More
    Modified [?]: 9 May 2023
    Dataset Added on HDX [?]: 9 May 2023
    UNOSAT code FL20230508COD, GDACS Id: 1101981 Cette carte illustre l'étendue des glissements de terrain le 07 mai 2023 en Territoire de Kalehe, Province du Sud-Kivu, République Démocratique du Congo. Dans la zone analysée de 9,000 ha, environ 90 ha d'escarpements de glissements de terrain sont visibles. Ceci est une analyse préliminaire et n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 05, 2023-May 05, 2023 ... More
    Modified [?]: 6 May 2023
    Dataset Added on HDX [?]: 6 May 2023
    UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected surface waters in Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda as observed from a Sentinel-1 image acquired on 3 May 2023 at 18:20 local time. Within the analyzed area of about 6,000 km2, about 20 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 Southern Province Zambezia province with ~7,000 people, and Kigali City with ~5,600 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.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 01, 2023-May 01, 2023 ... More
    Modified [?]: 2 May 2023
    Dataset Added on HDX [?]: 2 May 2023
    UNOSAT code FL20230327SOM, GDACS Id: 1101908 This map illustrates satellite-detected surface waters in Belet Weyne and Bulo Burto zones, Hiraan Region, Somalia as observed from a Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the analyzed area of about 3,900 km², about 12 km² of land appear to be flooded. Water extent appears to have increased by about 1 km² since 19 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, 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 United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 01, 2023-May 01, 2023 ... More
    Modified [?]: 2 May 2023
    Dataset Added on HDX [?]: 2 May 2023
    UNOSAT code FL20230327SOM, GDACS Id: 1101908 This map illustrates satellite detected surface waters Hiraan, Lower Shabelle, and Middle Shabelle Regions Somalia as observed from Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the analyzed area about 12,000 km², about 600 km² of land appear to be flooded. Water extent appears to have increased by about 480km² since 19 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area 59,000 people are potentially exposed or living close 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 [?]: May 01, 2023-May 01, 2023 ... More
    Modified [?]: 19 April 2023
    Dataset Added on HDX [?]: 12 April 2023
    UNOSAT code FL20230327SOM This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region of Ethiopia and Beledweyne District, Hiraan Region of Somalia as observed from a Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the analyzed area of about 5,300 km², about 180 km² of land appear to be flooded. Water extent appears to have increased by about 60 km² since 19 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, 7,500 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 United Nations Satellite Centre (UNOSAT).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: April 05, 2023-April 05, 2023 ... More
    Modified [?]: 7 April 2023
    Dataset Added on HDX [?]: 7 April 2023
    UNOSAT code FL20230327SOM This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region, Ethiopia as observed from a Sentinel-2 image acquired on 2 April 2023 at 07:38 UTC. Within the analyzed area of about 22,000 km², about 180 km² of land appear to be flooded. Water extent appears to have decreased by about 230 km² since 28 March 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, 19,000 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).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: April 04, 2023-April 04, 2023 ... More
    Modified [?]: 5 April 2023
    Dataset Added on HDX [?]: 5 April 2023
    UNOSAT code FL20230321PER, GDACS Id: 1365556 This map illustrates satellite-detected water using Sentinel-2 acquired on 30 March 2023, 10:52 local time over Tumbes and Zarumilla Districts, Tumbes Province, Peru. Within the cloud free analyzed areas of about 900 km², a total of about 11 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~2,400 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 the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: April 03, 2023-April 03, 2023 ... More
    Modified [?]: 4 April 2023
    Dataset Added on HDX [?]: 4 April 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates cumulative satellite-detected water using VIIRS in Mozambique between 27 to 31 March 2023. Within the cloud-free analyzed areas of about 600,000 km², a total of about 12,000 km² of land appear to be affected by flood waters. Water extent appears to have decreased by about 6,300 km2 since 21-25 March 2023. Based on Worldpop population data and the maximal flood water extent, ~650,000 people are potentially exposed or living close to flooded areas mainly located in Zambezia province with ~220,000 people and Sofala province with ~140,000 people. This preliminary analysis 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 [?]: April 03, 2023-April 03, 2023 ... More
    Modified [?]: 4 April 2023
    Dataset Added on HDX [?]: 4 April 2023
    UNOSAT code FL20230321PER, GDACS Id: 1365556 This map illustrates satellite-detected water using Sentinel-2 acquired on 1 April 2023, 10:36 local time over Lambayeque and Piura Provinces, Peru. Within the cloud free analyzed areas of about 13,000 km², a total of about 1,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~13,000 people are potentially exposed or living close to flooded areas mainly located in District of Piura with ~3,800 people, Piura District with ~3,800 people, Sechura with ~3,800 people, and Lambayeque ~3,600 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 31, 2023-March 31, 2023 ... More
    Modified [?]: 1 April 2023
    Dataset Added on HDX [?]: 1 April 2023
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 25 to 29 March 2023 compared with the period from 01 to 05 March 2023. Within the cloud free analyzed areas of about 625,000 km², a total of about 17,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 13,000 km² since the period between 01 to 05 March 2023. Based on Worldpop population data and the maximal flood water extent ~285,000 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 31, 2023-March 31, 2023 ... More
    Modified [?]: 1 April 2023
    Dataset Added on HDX [?]: 1 April 2023
    UNOSAT code FL20230327SOM This map illustrates satellite detected surface waters in Ferfer Woreda, Shabelle District, Shabelle Region, Ethiopia as observed from a SPOT-6 image acquired on 30 March 2023 at 07:01 UTC. Within the analyzed area of about 260km2, about 4 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 United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 29, 2023-March 29, 2023 ... More
    Modified [?]: 30 March 2023
    Dataset Added on HDX [?]: 30 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected water using Sentinel-2 acquired on 26 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 1,800 km² of land appear to be affected by flood waters. Water extent appears to have decreased of about 600 km2 since 21 March 2023. Based on Worldpop population data and flood water extent, ~120,000 people are potentially exposed or living close to flooded areas mainly located in Mutarara district, Tete province with ~46,000 people, Mopeia district, Zambezia province with ~22,000 people, and Caia district, Sofala province with ~20,00 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 29, 2023-March 29, 2023 ... More
    Modified [?]: 30 March 2023
    Dataset Added on HDX [?]: 30 March 2023
    UNOSAT code FL20230327SOM This map illustrates satellite detected surface waters in Shabelle District, Shabelle Region, Ethiopia as observed from a Sentinel-2 image acquired on 28 March 2023 at 07:49 UTC. Within the analyzed area of about 44,000 km2, about 485 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 40,000 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).
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 28, 2023-March 28, 2023 ... More
    Modified [?]: 29 March 2023
    Dataset Added on HDX [?]: 29 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 24 March 2023 at 05:00 local time and using an automated analysis with a machine learning method. Within the analyzed area of about 20,000 km2, about 330 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 the district of Maganja Da Costa, with ~10,000 people, Cidade De Quelimane with ~4,500 people, Inhassunge with ~ 3,500 people and Maquival with ~ 3,000 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 28, 2023-March 28, 2023 ... More
    Modified [?]: 29 March 2023
    Dataset Added on HDX [?]: 29 March 2023
    UNOSAT code FL20230321KEN This map illustrates satellite detected surface waters in Dagahaley Refugee Camp, Dadaab sub-county, Garissa county, Kenya as observed from a Sentinel-2 image acquired on 26 March 2023 at 07:49 UTC. Within the analyzed area of about 45 km2, about 8 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 8600 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 [?]: March 27, 2023-March 27, 2023 ... More
    Modified [?]: 28 March 2023
    Dataset Added on HDX [?]: 28 March 2023
    UNOSAT code TC20230221MOZ, GDACS Id: 1000961 This map illustrates cumulative satellite-detected water using VIIRS in Mozambique between 21 to 25 March 2023. Within the cloud free analyzed areas of about 620,000 km², a total of about 18,300 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 2,700 km2 since the 15-19 March 2023. Based on Worldpop population data and the maximal flood water extent, ~1,300,000 people are potentially exposed or living close to flooded areas mainly located in Zambezia province with ~480,000 people, Nampula province with ~210,000 people and Sofala province with ~ 210,000 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 23, 2023-March 23, 2023 ... More
    Modified [?]: 24 March 2023
    Dataset Added on HDX [?]: 24 March 2023
    UNOSAT code EQ20230321PER, GDACS Id: 1365556 This map illustrates satellite-detected water using Sentinel-2 acquired on 22 March 2023, 10:36 local time over Lambayeque and Piura Provinces, Peru. Within the cloud free analyzed areas of about 16,000 km², a total of about 1,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and flood water extent, ~13,500 people in Lambayeque district are potentially exposed or living close to flooded areas and ~6,300 people in Lambayeque district. 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 23, 2023-March 23, 2023 ... More
    Modified [?]: 24 March 2023
    Dataset Added on HDX [?]: 24 March 2023
    UNOSAT code TC20230314MWI, GDACS Id: 1000961 This map illustrates cumulative satellite-detected surface waters in Southern Region, Malawi between 17 to 21 March 2023 as observed from: VIIRS imagery from 17 to 21 March 2023; Sentinel-1 imagery acquired on 17 Mar. 2023 and Sentinel-2 imagery acquired on 21 Mar. 2023. Within the analyzed area of about 30,000 km2, about 2,100 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, ~280,000 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