Mobilization rates of landslides in a changing tropical environment: 60-year record over a large region of the East Afri...
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status: published
Landslides and growing folds: A lesson from the Kura fold-and-thrust belt (Azerbaijan, Georgia)
peer reviewed / Active fold-and-thrust belts create new landslide-prone slopes during tectonic deformation propagation. However, studies on landslide distribution in newly formed fold-and-thrust belts are limited. In this study, we present a new inventory of landslides in the Kura fold-and-thrust belt, a tectonically active, but relatively low-alti...
Landslides, bedrock incision and human-induced environmental changes in an extremely rapidly formed tropical river gorge...
Landslides are hillslope processes controlled by natural changing topographic conditions. Landslides are also influenced by human activities. Yet, understanding the space-time occurrence of landslides and their interactions with these typically long-term natural and short-term human-induced controls remains a key challenge in many regions, especial...
Spatial distribution, controlling factors and failure mechanisms of the large-scale landslides in the urban area of Azaz...
Published in Environmental Earth Sciences
The city of Azazga is facing extensive and damaging landslide hazard. The aim of this study was to investigate the inventory mapping, the deformation characteristics, the controlling factors and the failure mechanisms of the landslides in the urban area of Azazga based on field surveys, aerial photographs/satellite images interpretation and the exp...
Landslide susceptibility mapping using frequency ratio model: the case of Gamo highland, South Ethiopia
Published in Arabian Journal of Geosciences
Landslide is the most frequently occurring geo-hazard in mountainous terrains of the world. It affects human life, infrastructures, landscapes, and human properties as well as their day-to-day activities. In the current study area which is found in the Gamo Zone of south Ethiopia, recurrent landslide hazards have occurred. To minimize this landslid...
Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of...
Understanding when landslides occur and how they evolve is fundamental to grasp the dynamics of the landscapes and anticipate the dangers they can offer up. However, knowledge on the timing of the landslides remains overlooked in large parts of the world. This is particularly the case in low-capacity regions, where infrastructures are weak or absen...
Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of...
peer reviewed / Understanding when landslides occur and how they evolve is fundamental to grasp the dynamics of the landscapes and anticipate the dangers they can offer up. However, knowledge on the timing of the landslides remains overlooked in large parts of the world. This is particularly the case in low-capacity regions, where infrastructures a...
The added value of a regional landslide susceptibility assessment: The western branch of the East African Rift
status: published
The added value of a regional landslide susceptibility assessment: The western branch of the East African Rift
peer reviewed / Predicting landslide occurrence is of key importance for understanding the geomorphological development of mountain environments as well as to assess the potential risk posed by landsliding to human societies in such environments. Global landslide susceptibility models use a generic model formulation to predict landslide susceptibil...
Scaling land-surface variables for landslide detection
Published in Progress in Earth and Planetary Science
As geomorphological processes operate at various spatial scales, their morphological expressions, i.e., land-surface variables (LSVs) should be scaled accordingly. Most approaches on landslide susceptibility modeling and landslide detection have been performed based on arbitrarily scaled LSVs. We propose a methodology to improve automated landslide...
