In many parts of the world, rainfall triggered landslides often cause loss of life and property. This is especially true in areas where population pressure makes people move into landslide prone terrain.
On the footslopes of Mount Elgon in eastern Uganda, farmers are increasingly encroaching on the steep high-altitude slopes making these areas more vulnerable to landsliding by converting forests into agricultural fields. A recent (2007) landslide hazard assessment of the area with the LAPSUS-LS model showed a spatially explicit very high vulnerability of a densely populated area in Manjiya County. On the 1st of March 2010 devastating landslides happened exactly in the area that had been studied in 2007. We still need to assess how accurate the LAPSUS-LS model was in predicting these landslides. The research in this study consists of revisiting the landslide hazard assessment with the LAPSUS-LS model, detecting the recent landslides with remote sensing techniques possibly combined with fieldwork in Uganda (if spatial data on the recent landslides cannot be sourced otherwise).
Students: 1, possibly 2
Required: SGL-33306 or equivalent; Good understanding of GIS, RS and geomorphological modeling
Duration: minimum of 18 ECTS
Location: Wageningen, Uganda
Supervision: Lieven Claessens (SGL), Jeroen Schoorl (SGL), Arnaud Temme (SGL)