Refine your search: Clear all
Featured:
Locations:
More
Formats:
Organisations:
Tags:
More
Licenses:
  • 500+ Downloads
    Updated 5 August 2021 | Dataset date: November 10, 2020-November 10, 2020
    This dataset updates: Never
    Sudan - Flood affected Areas 2020, Destroyed Houses completely/ partially and affected people and Deaths.
  • 30+ Downloads
    Updated 9 December 2020 | Dataset date: June 12, 2020-June 12, 2020
    This dataset updates: Never
    This data is about Uganda Districts affected by Floods and Rising Water Levels in Lakes as of Friday, 12th June 2020
  • 100+ Downloads
    Updated 12 November 2020 | Dataset date: November 10, 2020-November 10, 2020
    This dataset updates: As needed
    This data is showing the number of affected people by floods per year from 2013 to 2020
  • 400+ Downloads
    Updated 16 March 2020 | Dataset date: September 30, 2019-September 30, 2019
    This dataset updates: As needed
    Rainfall distribution in Sudan for a 2010-2019. The data-set was created using observed data from the Sudan Meteorological Authority. All measurements in millimeters.
  • 60+ Downloads
    Updated 17 January 2020 | Dataset date: January 14, 2020-January 14, 2020
    This dataset updates: As needed
    Kelurahan/village in Jakarta affected by Flood on Jan 2020
  • 80+ Downloads
    Updated 17 January 2020 | Dataset date: January 14, 2020-January 14, 2020
    This dataset updates: As needed
    Number of population affected by flood in Jakarta, Banten, and West Java Provinces. The affected area based at village level source from National Disaster Management Agencies (BNPB), the Population data is from Civil Registration Office, Ministry of Home Affairs.
  • 20+ Downloads
    Updated Live | Dataset date: May 16, 2018-May 16, 2018
    This dataset updates: Live
    This map illustrates potentially affected population by flooding in the eastern sub counties of Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, more than 200,000 people are potentially affected by the floods. Magarini sub county in Kilifi County, is the one with more than 40,000 people living inside flood affected areas, followed by Dadaab, Wajir South, Garsen and Malindi sub counties. Note that some sub counties have been partially analyzed depending on the area covered by satellite imagery. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Updated Live | Dataset date: May 15, 2018-May 15, 2018
    This dataset updates: Live
    This map illustrates satellite-detected flood water extent over Dadaab & Lagdera Sub Counties, Garissa County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the analysis extent, ~ 43,300 ha of land appear to be inundated and around 23,000 people are living inside this flood water extent. Within the analysis extent, around 23,300 ha of inundated land are located inside Dabaad Sub County, potentially affecting 18,200 people. Several refugee camps, specially the ones located inside Dadaab Sub County, seem to be affected by the floods, being Ifo 2 Refugee Camp the most affected one. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Updated Live | Dataset date: May 15, 2018-May 15, 2018
    This dataset updates: Live
    This map illustrates satellite-detected flood water extent over Wajir county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, around 111,800 ha of land appears to be inundated and more than 46,300 people are living inside this flood water extent.Within the analysis extent, the sub county of Wajir West presents 68,000 ha of land inundated and more than 6,100 people potentially affected while Wajir South presents ~ 26,300 ha of land inundated and ~ 19,000 people potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent along Tana River, Galole and Garsen sub counties, Tana River county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana, the surrounding land between the primary road and the limit of the Tana River boundary, specifically where the population is concentrated. Within the analysis extent, around 22,700 ha of land appears to be inundated and more than 21,600 people are living inside this flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent along Tana River, Bura Sub County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana and the surrounding land between the primary road and the limit of the Tana River boundary, specifically were the population is concentrated. Within the analysis extent, more than 9,100 ha of land appear to be inundated and more than 9,800 people are living inside this flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over Garsen, Magarini, Malindi and Lamu West Sub Counties, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the extent of the map more than 25,000 ha of land appear to be inundated and around 20,000 people are living inside this flood water extent. Within the map extent, around 13,000 ha of inundated land are located inside Garsen sub county, potentially affecting 5,000 people. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Updated 29 September 2015 | Dataset date: September 16, 2015-September 16, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and detected the presence of a landslide over a mountainous area in Tonzang township. As a consequence of the landslide waters have accumulated in the area forming a dam. Imagery shows that a total of 34 hectares are covered by water. The heavy cloud cover in the area prevents UNOSAT from determining the exact dimension of the landslide. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 20+ Downloads
    Updated 10 August 2015 | Dataset date: February 04, 2015-February 04, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Caia, Chemba, Mopeia and Mutarara and Morrumbala Districts of Mozambique and Nsanje District of southern Malawi along the Shire River as detected by Radarsat-2 imagery acquired 04 February 2015. Between 30 January 2015 and 04 February 2015 waters receded from approximatively 11% of the surface of lands detected as flooded the 30 January 2015. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated 10 August 2015 | Dataset date: February 02, 2015-February 02, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Caia, Chemba, Mopeia and Mutarara and Morrumbala Districts of Mozambique and Nsanje District of southern Malawi along the Shire River as detected by Radarsat-2 imagery acquired 30 January 2015. Between 21 January 2015 and 30 January 2015 waters receded from about 30,000 ha of lands but many areas along the Shire River remain affected. About 22 villages are located within the flooded zone as of 30 January 2015 and according to the World Population data base around 25,000 people are located within these potentially affected a rea s. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.