Assessing the biological reactivity of organic compounds on volcanic ash: implications for human health hazard KU Leuven Vrije Universiteit Brussel
Questioning knowledge foundation: What is the best way to integrate knowledge to achieve substantial disaster risk reduction? KU Leuven Vrije Universiteit Brussel
Modeling Lahars on a Poorly Eroded Basaltic Shield: Karthala Volcano, Grande Comore Island KU Leuven Vrije Universiteit Brussel
Evaluating population vulnerability to volcanic risk in a data scarcity context: The case of Goma city, Virunga volcanic province (DRCongo) KU Leuven Vrije Universiteit Brussel
Volcano growth versus deformation by strike-slip faults: Morphometric characterization through analogue modelling KU Leuven Vrije Universiteit Brussel
Space-Based Earth Observations for Disaster Risk Management KU Leuven Vrije Universiteit Brussel
Causes and triggers of deep-seated hillslope instability in the tropics - Insights from a 60-year record of Ikoma landslide (DR Congo) KU Leuven Vrije Universiteit Brussel
The Geo-observer network: a proof of concept on participatory sensing of disasters in a remote setting KU Leuven Vrije Universiteit Brussel
Effective disaster risk reduction is often hampered by a general scarcity of reliable data collected on disastrous events, particularly in the Global South. Novel approaches are therefore necessary to alleviate this constraint, particularly with regard to reducing extensive risks. A geo-observer network, consisting of 21 reporters, was established in the Rwenzori region (Uganda) in February 2017 to collect data on eight different disasters using ...
Landslide susceptibility and mobilization rates in the Mount Elgon region, Uganda KU Leuven Vrije Universiteit Brussel
Mount Elgon in Eastern Uganda is one of the most landslide-prone regions in Africa. This extinct shield volcano is characterized by steep slopes, intense precipitation, and fertile lands supporting a dense human population. As a result, landslides frequently cause damage and many fatalities. Apart from the need for a landslide susceptibility assessment, insight into the landslide mobilization rates [ton/km(2)/y] is required to assess the ...