Large, deep‐seated landslides are common features in the Flemish Ardennes (Belgium). As
most of these old (> 100 years) landslides are located under forest in this hilly region, aerial …

A precise, accurate and complete landslide inventory is indispensable for the establishment
of reliable landslide susceptibility and hazard maps. In the preparation of landslide …

In contrast to the many studies that use expert-based analysis of LiDAR derivatives for
landslide mapping in forested terrain, only few studies have attempted to develop (semi-) …

Despite the availability of studies on the frequency density of landslide areas in
mountainous regions, frequency–area distributions of historical landslide inventories in …

Automatic landslide mapping is crucial for a fast response in a disaster scenario and
improving landslide susceptibility models. Recent studies highlighted the potential of deep …

Much of contemporary landslide research is concerned with predicting and mapping
susceptibility to slope failure. Many studies rely on generalised linear models with …

We show that observed co-variations at sub-hourly time scales between the photochemical
reflectance index (PRI) and canopy light use efficiency (LUE) over a Douglas-fir forest result …

Mapping complex landslides under forested terrain requires an appropriate quality of digital
terrain models (DTMs), which preserve small diagnostic features for landslide classification …

Sustainable landslide mitigation requires appropriate approaches to predict susceptible
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …

Based on geographic information system (GIS) technology in conjunction with two methods
for assessing landslide susceptibility (LS)—namely, a method using experts' knowledge and …