UNOSAT is a technology-intensive programme delivering imagery analysis and satellite solutions to relief and development organisations within and outside the UN system to help make a difference in critical areas such as humanitarian relief, human security, strategic territorial and development planning. UNOSAT develops applied research solutions keeping in sight the needs of the beneficiaries at the end of the process.
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Updated
August 31, 2020
| Dataset date: Aug 14, 2013
This dataset updates: Never
This is "Flood vectors - RISAT-1 (14 August 2013)" of the Flood analysis for Pakistan which began on 22 August 2013. It includes 1,715 satellite detected water bodies with a spatial extent of 1,625.38 square kilometers derived from the RISAT-1 image acqui...
Updated
August 31, 2020
| Dataset date: May 13, 2014
This dataset updates: Never
This is "Flood vectors - Worldview-2 (13 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 581 satellite detected water bodies with a spatial extent of 45.03 square kilometers derived from the Worldview-2 image acq...
Updated
August 31, 2020
| Dataset date: May 1, 2014
This dataset updates: Never
This is "Flood vectors - Pleiades (01 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 631 satellite detected water bodies with a spatial extent of 2.95 square kilometers derived from the Pleiades image acquired o...
Updated
August 31, 2020
| Dataset date: Aug 6, 2015
This dataset updates: Never
This is "Flood vectors - Radarsat-2 (06 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 21,526 satellite detected water bodies with a spatial extent of 1,187.49 square kilometers derived from the Radarsat-2 image a...
Updated
August 31, 2020
| Dataset date: Aug 2, 2015
This dataset updates: Never
This is "Flood vectors - TerraSAR-X (02 August 2015)" of the Flood analysis for Viet Nam which began on 30 July 2015. It includes 40,450 satellite detected water bodies with a spatial extent of 344.82 square kilometers derived from the TerraSAR-X image ac...
Updated
August 31, 2020
| Dataset date: Aug 13, 2014
This dataset updates: Never
This is "Flood vectors - MODIS-Terra (13 August 2014)" of the Flood analysis for Sudan which began on 03 August 2014. It includes 110 satellite detected water bodies with a spatial extent of 1,376.95 square kilometers derived from the MODIS-Terra image ac...
Updated
August 31, 2020
| Dataset date: Apr 29, 2014
This dataset updates: Never
This is "Flood vectors - Worldview-2 (29 April 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 6,738 satellite detected water bodies with a spatial extent of 2.55 square kilometers derived from the Worldview-2 image ...
Updated
August 31, 2020
| Dataset date: Sep 16, 2014
This dataset updates: Never
This is "Flood vectors - Sentinel-1 (16 September 2014)" of the Flood analysis for Pakistan which began on 10 September 2014. It includes 22,381 satellite detected water bodies with a spatial extent of 1,745.81 square kilometers derived from the Sentinel-...
Updated
August 31, 2020
| Dataset date: Aug 9, 2015
This dataset updates: Never
This is "Flood vectors - Radarsat-2 (09 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 38,793 satellite detected water bodies with a spatial extent of 1,374.71 square kilometers derived from the Radarsat-2 image a...
Updated
August 31, 2020
| Dataset date: Jul 31, 2015
This dataset updates: Never
This is "Flood vectors - ALOS PALSAR (31 July 2015)" of the Flood analysis for Viet Nam which began on 30 July 2015. It includes 22,650 satellite detected water bodies with a spatial extent of 563.87 square kilometers derived from the ALOS PALSAR image ac...
Updated
August 31, 2020
| Dataset date: May 7, 2014
This dataset updates: Never
This is "Flood vectors - Worldview-2 (07 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 285 satellite detected water bodies with a spatial extent of 0.12 square kilometers derived from the Worldview-2 image acqu...
Updated
August 31, 2020
| Dataset date: Feb 14, 2014
This dataset updates: Never
This is "Flood vectors - TerraSAR-X (14 February 2014)" of the Flood analysis for Bolivia which began on 13 February 2014. It includes 7,392 satellite detected water bodies with a spatial extent of 24.19 square kilometers derived from the TerraSAR-X image...
Updated
August 31, 2020
| Dataset date: Aug 25, 2013
This dataset updates: Never
This is "Flood vectors - SPOT-5 (25 August 2013)" of the Flood analysis for Pakistan which began on 22 August 2013. It includes 924 satellite detected water bodies with a spatial extent of 581.47 square kilometers derived from the SPOT-5 image acquired on...
Updated
August 11, 2020
| Dataset date: Jul 24, 2020
This dataset updates: Never
UNOSAT code: FL20200713BGD This map illustrates potentially exposed population to floods (cumulative) aggregated by district using NOAA20-VIIRS in Bangladesh between the 12th and the 21st of July 2020 and Worldpop spatial demographic data. About 34 million people were exposed or living close to flooded areas. The most exposed districts mainly located in Sylhet, Mymensingh and Rajshahi divisions.
Updated
August 8, 2020
| Dataset date: Aug 6, 2015
This dataset updates: Never
This is "Flood vectors - Sentinel-1 (06 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 48,899 satellite detected water bodies with a spatial extent of 1,140.54 square kilometers derived from the Sentinel-1 image a...
Updated
August 8, 2020
| Dataset date: Aug 6, 2015
This dataset updates: Never
This is "Flood vectors - TerraSAR-X (06 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 21,970 satellite detected water bodies with a spatial extent of 1,066.81 square kilometers derived from the TerraSAR-X image a...
UNOSAT code: FL20200626UKR This map illustrates satellite-detected surface waters in Ivano-Frankivska and Ternopilska Oblastof Ukraine as observed from a Sentinel-1 image acquired on 24 June 2020. Within the ana lyzed area of about 642 km2, a total of a bout 35 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 UNITAR-UNOSAT .
Updated
July 24, 2020
| Dataset date: Jul 20, 2020
This dataset updates: Never
UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over Bangladesh as observed from a TanDEM-X image acquired on 19 July 2020 due to the current monsoon rains. Within the analyzed area of about 14,000 km2, a total of about 6,800 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 UNITAR - 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.
Updated
July 24, 2020
| Dataset date: Jul 20, 2020
This dataset updates: Never
UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over Mymensingh, Rajshahi and Rangpur Division of Bangladesh as observed from a TerraSAR-X image acquired on 18 July 2020. Within the analyzed area of about 9,000 km2, a total of about 2,860 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please sendground feedback to UNITAR - 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.
UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 1 and 2 of Nepal as observed from a Sentinel-1 image acquired on 6 July 2020. Within the analyzed area of about 2,700 km2, a total of a bout 76 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 UNITAR - UNOSAT.
Important Note: Flood analysis from Sentinel-1 imagery acquired on 6 July 2020 may seriously underestimate presence of standing flood water in built up areas due to backscattering properties
Updated
July 24, 2020
| Dataset date: Jul 14, 2020
This dataset updates: Never
UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a TerraSAR-X image acquired on 12 July 2020 due to the current monsoon rains. Within the analyzed area of about 900 km2, a total of about 35 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 UNITAR - 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.
Updated
July 24, 2020
| Dataset date: Jul 13, 2020
This dataset updates: Never
UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 1 and 2 of Nepal as observed from a Radarsat-2 image acquired on 12 July 2020 due to the current monsoon rains. Within the analyzed area of about 3,000 km2, a total of about 475 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 UNITAR - UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas due to backscattering properties of the radar signal.
Updated
July 24, 2020
| Dataset date: Jul 15, 2020
This dataset updates: Never
UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Sentinel-1 image acquired on 13 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,300 km2, a total of about 200 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 UNITAR - 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.
Updated
July 24, 2020
| Dataset date: Jul 16, 2020
This dataset updates: Never
UNOSAT code: FL20200708NPL This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Radarsat-2 image acquired on 14 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,000 km2, a total of about 50 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 UNITAR - 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.
Updated
July 24, 2020
| Dataset date: Jul 21, 2020
This dataset updates: Never
UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over the Eastern part of the Sylhet division of Bangladesh as observed from a TerraSAR-X image acquired on 18 July 2020 due to the current monsoon rains. Within the analyzed area of about 8,600 km2, a total of about 2,200 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Based on WorldPop population data and the detected surface waters, about 2,000,000 people area potentially exposed or living close to flooded areas. Please send ground feedback to UNITAR - 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.
