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  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Burkina Faso in 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Burkina Faso en 2018, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Original dataset title: ICA Burkina Faso, 2018 - ICA Categories & Areas
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the ICA update performed in 2017. Data source: UNEP/UNISDR Global Assessment of Risk (GAR) 2013. The key indicators used for the analysis are the percentage of flood affected surface and the maximum expected frequency of flood events (with a 100-years return time period). Original dataset title: ICA Armenia, 2016 & 2017 - Flood Risk, 2013
  • Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the overall risk of natural shocks estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS RFE 1981-2015, Armenia HydroMeteorological Monitoring Service 2012. Original dataset title: ICA Armenia, 2017 - Natural Shocks Risk
  • 60+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2009-December 31, 2009
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. The results are still valid for the new ICA performed in 2019. Data source: NATO Global Hazard Model (GHM), 2009. The key indicators used for the analysis were the percentage of surface affected by flood risk and the maximum depth recorded during the flood events. Original dataset title: ICA Afghanistan, 2016 & 2019 - Flood Hazard, 2009
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the risk of rapid on-set shocks (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO Global Hazard Model 2009, UNEP/UNISDR GAR 2013. Original dataset title: ICA Afghanistan, 2016 - Rapid On-Set Shocks Risk
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the natural shocks risk (floods, droughts and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO GHM 2009, HQ VAM Analysis of CHIRPS RFE 2011-2015, UNEP/UNISDR GAR 2013, Original dataset title: ICA Afghanistan, 2016 - Natural Shocks Risk
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    This layer contains information about the severity of natural hazards (floods, drought and landslides) estimated during the Integrated Context Analysis (ICA) performed in Afghanistan in 2019. Data sources: GHM 2009, UNEP/UNISDR GAR 2013, HQ VAM Analysis of NDVI, NASA Terra MODIS 2013-2018. Original dataset title: ICA Afghanistan, 2019 - Natural shock hazard
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Afghanistan in 2019, showing the areas of convergence between recurrence of total food insecurity and propensity to natural shocks (floods, landslides and drought). Original dataset title: ICA Afghanistan, 2019 - ICA Categories & Areas
  • 10+ Downloads
    Updated 9 January 2020 | Dataset date: December 10, 2019-December 10, 2019
    This dataset updates: Never
    UNOSAT code: FL20191205COG This map illustrates satellite-detected flood waters along the Congo River over, Loukoléla, Loukoléla District, Cuvette Department in Republic of Congo as observed from Pleiades-1 imagery acquired on 29 November 2019. 136 ha of potential flood waters and 168 potentially flooded structures have been identified in Loukoléla and its vicinity. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.
  • Updated 18 December 2019 | Dataset date: November 13, 2019-November 13, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface waters in Basse-Kotto Prefecture of the Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 390 km2, a total of about 7 km2 of land 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 with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.
  • Updated 18 December 2019 | Dataset date: November 13, 2019-November 13, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka and Basse-Kotto Prefectures of the Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 970 km2, a total about 9 km2 of land 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 with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.
  • Updated 18 December 2019 | Dataset date: November 13, 2019-November 13, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka Prefecture of Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 2,000 km2, a total about 10 km2 of land 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 with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.
  • 30+ Downloads
    Updated 6 December 2019 | Dataset date: October 25, 2019-October 25, 2019
    This dataset updates: Never
    UNOSAT code: FL20191023SSD This map illustrates satellite-detected surface water in Unity, Jonglei and Lakes State of South Sudan as observed from Sentinel-1 imagery acquired on 23 October 2019. Within the analysed extent of about 85,000 km2, a total about 1,180 km2 of land 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 23 October 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal
  • 10+ Downloads
    Updated 6 December 2019 | Dataset date: October 31, 2019-October 31, 2019
    This dataset updates: Never
    UNOSAT code: FL20191030SOM This map illustrates satellite-detected surface water in Beled Weyne District, Hiraan Region in Somalia analyzed with Sentinel-1 imagery acquired on 30 October 2019. Within the analysed extent of about 2,500 km2, a total of about 155 km2 of land 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 based on Sentinel-1 imagery may significantly underestimate the presence of standing floodwater in dense built-up areas due to backscattering of the radar signal.
  • 100+ Downloads
    Updated 6 December 2019 | Dataset date: October 27, 2019-October 27, 2019
    This dataset updates: As needed
    This excel sheet is from the government of Sudan (HAC) as of 27th of October 2019.
  • 100+ Downloads
    Updated 3 December 2019 | Dataset date: October 27, 2019-October 27, 2019
    This dataset updates: Every year
    Flood affected people in Sudan by state for the last few years.
  • Updated 22 November 2019 | Dataset date: November 22, 2019-November 22, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected water surface in Central African Republic and Democratic Republic of The Congo as observed from Sentinel-1 imagery acquired on 18 November 2019. Within the analysed extent of about 760 km2, a total about 6 km2 of land appear to be flooded in Basse-Kotto Prefecture of Central African Republic and about 1 km2 of land appear to be flooded in Nord-Ubangi Province of Democratic Republic of The Congo. 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 SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Updated 22 November 2019 | Dataset date: November 21, 2019-November 21, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flooded waters along the Ubangui River over Mobayi-Mbongo,Mobayi-Mbongo Territory, Nord-Ubangi Province in Democratic Republic of the Congo as observed from SPOT 7 imagery acquired on 16 November 2019. UNITAR-UNOSAT has identified about 60 buildings/houses likely surrounded by waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.
  • Updated 22 November 2019 | Dataset date: November 20, 2019-November 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flood waters along the Ubangi River over Libenge, Libenge Territory, Sud-Ubangi Province in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. 90 ha of potential flood waters have been identified in Libenge and its vicinity. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.
  • Updated 22 November 2019 | Dataset date: November 20, 2019-November 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 1,950 km2, a total about 4 km2 of land 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 SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Updated 22 November 2019 | Dataset date: November 20, 2019-November 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka and Basse-Kotto Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 940 km2, a total about 3 km2 of land 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 SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Updated 22 November 2019 | Dataset date: November 20, 2019-November 20, 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Basse-Kotto Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 425 km2, a total about 2 km2 of land 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 SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Updated 22 November 2019 | Dataset date: November 19, 2019-November 19, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected floodedwaters along the Ubangui River over Zongo, Libenge Territory, Sud-Ubangi Territory in Democratic Republic of the Congo as observed from GeoEye-1 imagery acquired on 12 November 2019. UNITAR-UNOSAT has identified 58 ha of potentially flood waters north-west of Zongo. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 22 November 2019 | Dataset date: November 19, 2019-November 19, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flooded structures along the Ubangui River over Libenge, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. UNITAR-UNOSAT identified 22 potentially flooded structures west of Libenge, within the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated 22 November 2019 | Dataset date: November 18, 2019-November 18, 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flooded structures along the Ubangui River over Zongo, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from GeoEye-1 imagery acquired on 12 November 2019. UNITAR-UNOSAT has identified within the extent of this map 276 potentially flooded structures north-west of Zongo. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.