Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
  • Updated 13 November 2018 | Dataset date: July 16, 2007-July 16, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (16 July 2007)" of the Flood analysis for Sudan which began on 10 July 2007. It includes 13,313 satellite detected water bodies with a spatial extent of 16,777.66 square kilometers derived from the MODIS-Aqua image acqu...
  • Updated 13 November 2018 | Dataset date: September 04, 2007-September 04, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (04 September 2007)" of the Flood analysis for Sudan which began on 10 July 2007. It includes 22,978 satellite detected water bodies with a spatial extent of 27,283.72 square kilometers derived from the MODIS-Aqua image...
  • 70+ Downloads
    Updated 13 November 2018 | Dataset date: September 07, 2007-September 07, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (07 September 2007)" of the Flood analysis for Ghana which began on 25 May 2007. It includes 17 satellite detected water bodies with a spatial extent of 2,745.38 square kilometers derived from the MODIS-Aqua image acqui...
  • 40+ Downloads
    Updated 13 November 2018 | Dataset date: September 04, 2007-September 04, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (04 September 2007)" of the Flood analysis for Uganda which began on 01 July 2007. It includes 1 satellite detected water bodies with a spatial extent of 116.29 square kilometers derived from the MODIS-Aqua image acquir...
  • 20+ Downloads
    Updated 21 June 2018 | Dataset date: August 14, 2015-August 14, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and south of Myebon townships, as imaged by the ALOS-2 / PALSAR satellite on 12 August 2015. In the analyzed area a total of ~3,800 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 3.8% to 4.6% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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.
  • 30+ Downloads
    Updated 15 September 2017 | Dataset date: January 07, 2015-January 07, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of flood water as observed in Sentinel-1 imagery collected 24 November 2014 and 18 December 2014. Waters extended 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.
  • 900+ Downloads
    Updated 28 October 2016 | Dataset date: January 10, 2015-January 10, 2015
    This dataset updates: Never
    Flood extend data of Malawi floods in January 2015
  • 500+ Downloads
    Updated 21 January 2016 | Dataset date: November 09, 2015-November 09, 2015
    This dataset updates: Never
    This dataset shows the reported flooded areas in somalia
  • 200+ Downloads
    Updated 18 December 2015 | Dataset date: November 13, 2015-November 13, 2015
    This dataset updates: Never
    Dataset shows the reported flooded Areas in Somalia
  • 200+ Downloads
    Updated 10 December 2015 | Dataset date: December 04, 2015-December 04, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters and probable flood waters in the Chennai area of the Tamil Nadu State in India. Using satellite imagery acquired 24 November 2015, 12 November 2015, 14 October 2015 and 01 September 2015. UNITAR-UNOSAT identified expansion of waters in the area of Chennai. Standing waters extended between the 24 November 2015 and 12 November 2015 and the total water expansion is estimated to be about 10% between the two dates. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated 10 December 2015 | Dataset date: November 18, 2015-November 18, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters over the Shabelle hoose region of Somalia. Using satellite imagery acquired 16 November 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 2,790 hectares in the Shabelle Hoose province. As of 16 November 2015, approximately 2,970 hectares of probable standing rain waters were detected over the districts of Qoryooley, Kurtunwaarey, Marka, Baraawe and Sablaale. Due to the characteristics of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Pre-flood assessment performed by SWALIM.
  • 20+ Downloads
    Updated 10 December 2015 | Dataset date: November 16, 2015-November 16, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters in the Jowhar, Middle Shabelle region of Somalia. Using satellite imagery acquired 16 November 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 8,300 hectares in the Shabelle Dhexe and Hoose provinces. As of 16 November 2015, approximately 8,300 hectares of probable standing rain waters were detected over the districts of Jowhar, Balcad and, Afgooye. Due to the characteristics of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Pre-flood assessment performed by SWALIM.
  • 600+ Downloads
    Updated 24 November 2015 | Dataset date: January 01, 2015-January 01, 2015
    This dataset updates: Never
    The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.
  • 20+ Downloads
    Updated 6 November 2015 | Dataset date: November 03, 2015-November 03, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of potentially saturated soils and probable flood waters in the Jowhar, Middle Shabelle region of Somalia. Using satellite imagery acquired 30 October 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 54,000 hectares in the Shabelle Dhexe and Hoose provinces. As of 30 October 2015, approximately 41,500 hectares of possibly saturated wet soils, as well as about 12,200 hectares of probable standing flood waters were detected over the districts of Jowhar, Balcad and, Afgooye. Due to the low spatial resolution of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated 6 November 2015 | Dataset date: October 30, 2015-October 30, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of potentially saturated soils and probable flood waters in the Buulobarde Shabelle region of Somalia. Using satellite imagery acquired 30 October 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 10,434 hectares in the Shabelle Dhexe and Hiraan provinces. As of 30 October 2015, approximately 10,088 hectares of possibly saturated wet soils, as well as about 346 hectares of probable standing flood waters were detected over the districts of Bulo Burto, Jalalaqsi, and Jowhar. Due to the low spatial resolution of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 29 September 2015 | Dataset date: September 17, 2015-September 17, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures over Tuikhingzang town, Tonzang township, Chin Division, Myanmar. After a reported landslide induced dam that ruptured on 28 August 2015, UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and identified an area severely affected by a mudslide. Wide agricultural areas appear affected and the town of Tuikhingzang is partially covered by mud. UNOSAT identified a total of 141 destroyed structures and 48 severely damaged structures in the area. Local roads are also affected and a bridge has been completely destroyed. In addition two IDP settlements are visible 1 and 3 km northeast of the town and a total of 260 possible tent shelters were identified. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated 29 September 2015 | Dataset date: September 08, 2015-September 08, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in western Sagaing Division in the areas of Homalin, Tamu, Phaungbyin and Mawlaik townships of Myanmar as imaged by the Sentinel-1 satellite on 4 September 2015. Waters along the Chindwin have expanded and inundated lands on either sides of the river bank and as of 4 September 2015 a total of ~111,000 ha of lands were affected. Total surface area covered with water in the analysed area has increased from a pre-flood level of 0.4% to 2.9 % during the flood period. 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: August 18, 2015-August 18, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of flood affected land on the banks of river Indus as detected by Sentinel-1 image acquired 11 August 2015 in Sindh Province, Pakistan. In districts of Naushahro Firoz, Jamshoro, Matiari and Nawab Shah approximately 130,000 hectares of land have been identified as flood affected. It is to note that the identified areas are in close proximity to Mohenjo Daro, a 5000 year old UNESCO world heritage site. Due to sensor limitations, flood waters could be underestimated in urban areas and areas covered with vegetation. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • Updated 29 September 2015 | Dataset date: August 17, 2015-August 17, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and Myebon townships, as imaged by the ALOS-2 / PALSAR-2 satellite on 16 August 2015. In the analyzed area a total of ~24,600 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 10.2% to 15.2% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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: August 14, 2015-August 14, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the region of Kayin and Mon State in the areas of Papun, Bilin, Hlaingbwe, Thaton, Pa-An, Paung, Moulmein, Kyaikmaraw, and Kya In Seikkyi townships of Myanmar as imaged by the Sentinel-1 satellite on 6 August 2015. Waters along the Salween River have expanded and inundated lands on either sides of the river bank. Total surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 10% during the flood period, and as of 6 August 2015 a total of ~230,000 ha of lands were affected. Most of the affected lands north of Letpan town seem to be mainly agricultural 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 29 September 2015 | Dataset date: August 12, 2015-August 12, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Southern region of Sagaing Division in the areas of Monywa, Chaung-U and Myaung townships of Myanmar as imaged by the Radarsat-2 satellite on 6 August 2015. Waters along the Chindwin River have expanded and inundated lands on either sides of the river bank. Flood affected lands increase in the area were Chindwin River flows into Ayeyarwady River. Total surface covered with water in the analysed area has increased from a pre-flood level of 1% to 5% during the flood period, and as of 6 August 2015 a total of 86,799 ha of lands were affected. The township of Myaung in Sagaing district was the worst affected township with 22,024 hectares of flood affected land, followed by Chaung-U township in Monywa district (13,732 ha). Approximately 12 km of roads are potentially affected by floods in 17 of the 29 anlyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 40+ Downloads
    Updated 29 September 2015 | Dataset date: July 30, 2015-July 30, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of flood as detected by Sentinel-1 imagery acquired on 28 July 2015 near Lahore area in Northern Punjab. 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.
  • 90+ Downloads
    Updated 12 August 2015 | Dataset date: August 10, 2015-August 10, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters south of Myanmar's largest city, Yangon, as imaged by the Radarsat-2 satellite on 9 August 2015. Most of the flood affected lands are agricultural fields in the Yangon river delta. There is no significant overflowing of waters along the river bank. In the area analyzed, ~45,000 hectares of land has been identified as flood affected/inundated land as of 9 August 2015. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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.
  • Updated 12 August 2015 | Dataset date: August 11, 2015-August 11, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over Northern Rakhine State, Myanmar, in the areas of Kyauktaw, Mrauk-Oo, Ponnagyun & Rathedaung, Pauktaw and Minbya townships, as imaged by the TerraSAR-X satellite on 10 August 2015. In the analyzed area a total of ~60.000 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 8% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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.
  • 40+ Downloads
    Updated 10 August 2015 | Dataset date: February 16, 2015-February 16, 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 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.