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  • 20+ Downloads
    Updated August 10, 2015 | Dataset date: Aug 4, 2015
    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.
  • Updated August 10, 2015 | Dataset date: Jul 13, 2015
    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.
  • Updated August 10, 2015 | Dataset date: Aug 11, 2014
    This dataset updates: Never
    This map illustrates satellite-detected areas of flood affected land as detected in satellite imagery acquired by the TerraSAR-X satellite on 09 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 Umdaba and East Nile seem to be affected by varying levels of water and saturated soils. The flooded area over Khartoum city has decreased slightly since the previous analysis using an image from 8 August 2014. 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.
  • Updated August 10, 2015 | Dataset date: Aug 8, 2014
    This dataset updates: Never
    This map illustrates satellite-detected areas of flood affected land as detected by RADARSAT-2 imagery acquired 08 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 Umdaba and East Nile seem to suffer from waters and/or muds. 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
    Updated August 10, 2015 | Dataset date: Feb 2, 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.
  • 30+ Downloads
    Updated August 10, 2015 | Dataset date: Jan 19, 2015
    This dataset updates: Never
    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.
  • This map illustrates satellite-detected areas of landslide damage in the village of Ab Barek, Badakshan, Afghanistan. Following heavy rains in the region, a landslide partially buried Ab Barek on 2 May 2014. Using a satellite image acquired 5 May 2014 by the WorldView-2 satellite, UNOSAT delineated the landslide area. In addition, areas of IDPs, relief operations, and water pooling due to the landslide are indicated as of 5 May. The 5 May 2014 image was compared to an image from 7 June 2013 in an attempt to determine how many structures were buried, and a total of 87 such structures were located. However, between 7 June 2013 and the occurrence of the landslide Ab Barek had changed and grown considerably, and thus its possible additional buried structures exist which are not identified in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated August 10, 2015 | Dataset date: May 6, 2014
    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.
  • 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 map illustrates satellite-detected flooded areas of 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. 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.
  • 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 map illustrates potenital satellite-detected inundated areas and water in and north of Sar-E Pol city, Afghanistan. UNOSAT analyzed imagery from the Pleiades satellite collected 1 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 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.
  • 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.
  • Este mapa representa áreas inundadas detectadas por satélite en los alrededores de la ciudad de Trinidad, 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
    Updated August 10, 2015 | Dataset date: Feb 13, 2014
    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.