5 datasets found

Tags: Flood Analysis

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  • Satellite detected water extents in Sindh, Balochistan and Punjab Provinces,...

    This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July...

    This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.

  • Flood impact assessment in Sao Vicente, Cabo Verde (13-16 August 2025)

    This dataset illustrates satellite-detected mudflow extent in Sao Vicente, Cabo Verde as observed from Pleiades very high-resolution satellite image. About 12 km² of land...

    This dataset illustrates satellite-detected mudflow extent in Sao Vicente, Cabo Verde as observed from Pleiades very high-resolution satellite image. About 12 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified around 4200 affected buildings with around 12600 people potentially affected. In addition, approximately 80 km of roads with 5 bridges were affected.

    This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

  • Flood impact assessment in Santo Antao, Cabo Verde (13-16 August 2025)

    This dataset illustrates satellite-detected mudflow extent in Santo Antao, Cabo Verde as observed from Pleiades very high-resolution satellite image. About 4 km² of land appears...

    This dataset illustrates satellite-detected mudflow extent in Santo Antao, Cabo Verde as observed from Pleiades very high-resolution satellite image. About 4 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified less than 460 affected buildings with less than 1000 people potentially affected. In addition, approximately 5 km of roads with 2 bridges were affected.

    This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

  • Flood Impact Assessment Maps - Chimanimani and Chipinge Districts, Zimbabwe

    These maps, developed by Deltares, creat the flood impact of flood hazards expected in the Chimanimani and Chipinge Districts, Zimbabwe and are evaluated at 30m resolution.
  • FRIEND/Nile Final Project Reports: Hydrological Research and Capacity...

    The FRIEND/Nile project, implemented in two phases (2001-2006 and 2007-2013), aimed to enhance water resources management in the Nile Basin through regional cooperation,...

    The FRIEND/Nile project, implemented in two phases (2001-2006 and 2007-2013), aimed to enhance water resources management in the Nile Basin through regional cooperation, capacity building, and applied hydrological research. Initiated under the UNESCO International Hydrological Programme (IHP) and funded by the Flemish Government of Belgium, the project engaged key institutions across five Nile Basin countries—Egypt, Sudan, Ethiopia, Kenya, and Tanzania. The project focused on improving understanding of the river's hydrological regime through collaborative research and data sharing.

    Phase I (2001-2006) established technical and institutional cooperation, emphasizing four key research components: Rainfall-Runoff Modeling, Sediment Transport and Watershed Management, Flood Frequency Analysis, and Drought and Low Flow Analysis. Over 20 training workshops and technical meetings were conducted, enhancing the capacity of researchers and institutions within the region. The project facilitated data acquisition, model development, and technical publications, laying the foundation for improved transboundary water governance.

    Phase II (2007-2013) expanded on these efforts by addressing new challenges such as eco-hydrology, stochastic modeling, and erosion and sediment transport. It introduced advanced hydrological models, improved performance monitoring, and evaluated climate change impacts on water availability in the Nile Basin. The project contributed to enhanced scientific cooperation, strengthened institutional frameworks, and provided policy-relevant insights to support sustainable water resource management.

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