Flooding

"To cover with a flood." (Merriam-Webster, 2019) 

Sources

Merriam-Webster. "Flood", Entry, verb 1. (2019). Link: https://www.merriam-webster.com/dictionary/flood

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Assessment of flood risk using space technology in Matuga state, Kenya’s coastal area

Flooding poses significant environmental, social and economic challenges globally. With ever-increasing, weather extremes induced by climate change, flooding becomes frequent and severe, particularly in coastal regions like Matuga state in Kenya. Therefore, this study assesses flood risk and its spatial distribution focusing on the interplay between land use land cover, elevation, slope, soil type and rainfall. Using remote sensing data and GIS techniques, a flood risk map for Matuga was generated to identify vulnerable zones. The result signifies that poorly vegetated areas combined with steep topography and high rainfall intensity are key contributors to flooding. Conversely, areas dominated by Ferralic Arenosols and Dystric Arenosols coupled with low slope and extensive shrub cover exhibit lower flood risks. The findings of this study provide critical insights for policymakers, urban planners and environmental managers in designing sustainable flood mitigation strategies. This study underscores the importance of integrating sustainable land management and land use planning in flood risk management for climate-resilient development in Matuga, Kenya.

SAR backscatter to monitor under tree cover

Forest cover refers to the extent of land area covered by forests. It can be expressed either as a percentage relative to the total land area or in absolute terms measured in square kilometers or square miles (ScienceDirect). As of 2020, globally, forests account for 31 percent of the land area with roughly half of this area considered relatively intact. The total forest coverage is 4.06 billion hectares.

Capacity Building and Training Material

UN-SPIDER Best Practice: Disaster Preparedness Using Free Software Extensions

Overview:

Remote sensing technologies can support all stages of the disaster management cycle. In the prevention and preparedness phases, they often find their application in risk assessments, scenario modelling and early warning. This UN-SPIDER Recommended Practice explains how remote sensing data about recurring floods, information about infrastructure and socio-economic data can be integrated using free and open source software to support prevention and preparedness efforts.

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Stakeholder

University of Stirling

The University of Stirling was founded by Royal Charter in 1967 as the first genuinely new university in Scotland for over 400 years and embraces its role as an innovative, intellectual and cultural institution. A research-led university with an international reputation for high-quality research directly relevant to society’s needs, Stirling aims to be at the forefront of research and learning that helps to improve lives. The University works closely with its stakeholders in policy, practice and industry to facilitate this and enhance the relevance and impact of its research.

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