Datasets [286] | Archived Datasets[121] [?]
  • This map illustrates satellite-detected flood waters in the Chikwawa and Nsanje Districts of Southern Region of Malawi and in the Morrumbala District of Zambezia Province of Mozambique along the Shire River as detected by Landsat-7 imagery acquired 07 February 2015. 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 analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    70+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected flood waters in Maganja Da Costa and Namacura District of Zambezia Province, Mozambique, as detected by Radarsat-2 imagery acquired 03 February 2015. Between 18 January and 03 February, flood waters slightly decreased and affected roughly 52,700 hectars of land. A total of 69 potentially affected towns were detected within the complete analyzed area.This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected flood waters in the Caia, Chemba, Mopeia and Mutarara and Morrumbala Districts of Mozambique and southern Malawi along the Chire River as detected by Radarsat-2 imagery acquired 21 January 2015. Between 11 December 2014 and 21 January 2015 flood waters affected roughly 55,000 hectares of lands in the five listed districts. About 31 villages are located within the flooded zone and according to the World Population database around 33,500 people are located within these potentially affected areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    20+ Downloads
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: December 31, 2014-December 31, 2014
    This map illustrates satellite-detected areas of probable flood waters as detected in a Radarsat-2 satellite image collected 30 December 2014 and Sentinel-1 data collected 18 December 2014. Detected flood waters are primarily concentrated along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    40+ Downloads
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: September 16, 2014-September 16, 2014
    This map illustrates satellite-detected areas with waters as detected by SPOT-6 and TerraSAR-X imagery acquired the 16 September 2014 in Chiniot area along Chenab River, Punjab Province (Pakistan). The Chenab river expanded and seems to have inundated some agricultural fields. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    50+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected areas of flood affected land as detected in a TerraSAR-X image acquired 15 September 2014 in the Multan area, Punjab Province (Pakistan). The area along Chenab River and the agricultural areas west of Multan along Chenab River are most likely inundated by floods caused by monsoon rains. Due to sensor limitations, flood waters could be underestimated in urban areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    30+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected areas of flood affected land as detected by LANDSAT-8 imagery acquired 10 September 2014 in Fatehpur-Puran area along Jhelum River, Punjab Province (Pakistan). The agricultural fields along Jehlun River are most likely inundated by floods caused by monsoon rains. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: August 20, 2014-August 20, 2014
    This map illustrates satellite-detected areas of flood affected land as detected in satellite imagery acquired by the Pleiades satellite on 19 August 2014 in Khartoum State, Sudan. The area surrounding Khartoum City and Umdurman was inundated by floods caused by heavy rains. Areas to the South of Umdurman seem to have been flooded and many other areas including Um Baba and Khartoum Bahri seem to be affected by varying levels of water and saturated soils. The flooded area over Khartoum has decreased slightly in some areas, however there also appears to be an increase in others. This increase is potentially saturated soils and not necessarily standing water. 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 characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT
    10+ Downloads
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: August 19, 2014-August 19, 2014
    This map illustrates satellite-detected areas of flood affected land as detected in satellite imagery acquired by the Pleiades satellite on 14 August 2014 in Khartoum State, Sudan. The area surrounding Khartoum City and Umdurman was inundated by floods caused by heavy rains. Areas to the South of Umdurman seem to have been flooded and many other areas including Um Baba and Khartoum Bahri seem to be affected by varying levels of water and saturated soils. The flooded area over Khartoum has decreased slightly in some areas, however the higher resolution of the Pleiades shows more smaller standing bodies of water that were likely overlooked by previous sensors. 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 characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT
    10+ Downloads
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: August 07, 2015-August 07, 2015
    This map illustrates satellite-detected flood waters in the Central region of Magway State in the areas of Chalin, Chauk, Pwinbyu, Yenangyaung, Magwe and Sagu Townships of Myanmar as imaged by the TerraSAR-X satellite on 6 August 2015. Waters along the Irrawaddy River have expanded and inundated lands on either sides of the Irrawaddy river bank. Total surface covered with water in the analyzed area has increased from a pre-flood level of 6% to 15% during the flood period, and as of 6 August 2015 a total of ~60,000 ha of lands were affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: August 06, 2015-August 06, 2015
    This map provides an overview of satellite detected waters in Hai Phong Province, northern Vietnam. Due to continuous rainfall, a notable increase in inundated areas occurred within this area. Using satellite imagery acquired 02 August 2015 and 05 October 2009, UNITAR - UNOSAT identified numerous regions with flood affected land in the analyzed extent. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    40+ Downloads
    This dataset updates: Never
  • This map provides an overview of satellite detected waters along the coastline of Quang Ninh Province, northern Vietnam. Due to continuous rainfall, a notable increase in inundated areas occurred within this region. Using satellite imagery acquired 02 August 2015 and 28 March 2015, UNITAR-UNOSAT identified approximately 4,731 hectares of flood affected land within the analyzed extent. Several flooded areas are in close proximity to Ha Long Bay, a UNESCO World Heritage Site. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map gives an overview of satellite detected waters near Ha Long City in Quang Ninh Province, northern Vietnam. Due to continuous rain, there is a notable increase in inundated areas north of Ha Long Bay, a UNESCO World Heritage Site. In the analyzed area, approximately 300 hectares of land have been classified as flood affected, mainly agricultural fields as well as mining areas east of the town of Ha Long. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    30+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected flood waters in the Northwestern part of Rakhine State in the areas of Maungdaw, Buthidaung, Ponnagyun and Rathedaung Townships of Myanmar as imaged by the Radarsat-2 satellite on 10 July 2015. Heavy rains at the onset of the monsoon season has caused limited flooding, and flood waters seem to have affected roughly 900 hectares of land within the 425 square kilometer analyzed area. The most affected lands seem to be mainly agricultural and/or paddy fields, many of which are of course frequently inundated at other times as well.  This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • Updated 10 August 2015 | Dataset date: January 19, 2015-January 19, 2015
    This map illustrates satellite-detected flood waters in the Maganka Da Costa, Namacurra and Mocuba Districts of Zambezia Province, Mozambique, as detected by Radarsat-2 imagery acquired 18 January 2015. Between 11 and 18 January 2015 flood waters affected roughly 85,000 hectares of land, with inundated areas increasing approximately 800% from pre-flood areas, particularly in the coastal part of Mangaja Da Costa District. About 41 villages are located within the flooded zone, and according to the World Population database around 73,000 people are located within these potentially affected areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    30+ Downloads
    This dataset updates: Never
  • This map presents the estimated total rainfall accumulation for Afghanistan covering the period from 30 April to 06 May 2014. This total estimate was derived from the Tropical Rainfall Monitoring Mission (TRMM) precipitation dataset at a spatial resolution of approximately 0.25 degrees for this region. It is possible that precipitation levels may have been underestimated for local areas, and is not a substitute for ground station measurements.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected water bodies and inundated areas near Khwajah Du Koh, Jawzjan Province, Afghanistan as seen on WorldView-2 satellite imagery collected 29 April 2014. Heavy rainfall occurred on 23-24 April 2014, flooding a large part of the town. UNOSAT extracted a Water Index from the satellite image to determine areas of standing water as well as soils with varying levels of water content (ie, mud). It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    This dataset updates: Never
  • This map illustrates potential satellite-detected inundated areas and water south of Sar-E Pol city, Afghanistan. UNOSAT analyzed imagery from the KOMPSAT2 satellite collected 05 May 2014 in response to heavy rainfall occurring on 23-24 April 2014. UNOSAT extracted areas of water and inundated soils to indicate likely flood affected lands. This map includes both permanent water bodies, such as streams, and potential flood waters together due to limitations in source data. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    This dataset updates: Never
  • This map illustrates satellite-detected urban areas that were affected by flash flooding along the Matanikau River in Honiara, capital city of the Solomon Islands. Analysis was conducted using a Resurs-P panchromatic image acquired the 08th and the 13th of April 2014. Traces of waters can be seen in urban areas along the Matakinau River and ~ 100 houses seem to have been washed out and/or flooded by the flash flooding event in the identified areas. A bridge in the Chinatown neighbourhood appears to be totally destroyed, however the main bridge further north seems intact. The exact limit of flood affected zones is uncertain because of the sensor characteristics of the satellite data and the nature of the vent (flash flood). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    This dataset updates: Never
  • Este mapa representa áreas inundadas detectadas por satélite en los alrededores de la ciudad de Riberalta, en el departamento de Beni, Bolivia, usando datos de TerraSAR-X obtenidos el 13 de Febrero de 2014. Las signaturas de agua han sido detectadas principalmente en los alrededores de la ciudad, no habiéndose observado masas de agua en el interior de la misma. Es probable que la extensión de las inundaciones haya sido infra estimada a lo largo de las zonas construidas, dadas las especiales características de la imagen de satélite utilizada. Este es un análisis preliminar que aún no ha sido validado en el terreno. Por favor envien sus comentarios a UNITAR /UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates water bodies at the Tokwe Mukorsi Dam, Masvingo Province, Zimbabwe, as detected by TerraSAR-X on 11 February 2014. The flooded area above the dam has greatly increased due to recent heavy rains and currently encompasses about 2,300 ha. Using a WorldView-1 image acquired on 2 January 2012, UNOSAT located a total of 751 structures in 143 homestead locations that would be submerged by the current flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    20+ Downloads
    This dataset updates: Never