Results 41 to 50 of about 3,126 (205)
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Assessing Landslide Damming susceptibility in Central Asia
Abstract. Central Asia regions are characterized by active tectonics, high mountain chains with extreme topography with glaciers and strong seasonal rainfall events. These key predisposing factors make large landslides a serious natural threat in the area, causing several casualties every year.
C. Tacconi Stefanelli +10 more
openaire +5 more sources
Large-scale and long-term landslide susceptibility assessments are crucial for revealing the patterns of landslide risk variation and for guiding the formulation of disaster prevention and mitigation policies at the national level.
Hui Jiang +3 more
doaj +1 more source
Overcoming the data limitations in landslide susceptibility modeling. [PDF]
Data-driven models widely used for assessing landslide susceptibility are severely limited by the landslide and environmental data needed to create them. They rely on inventories of past landslide locations, which are difficult to collect and often nonrepresentative.
Woodard JB, Mirus BB.
europepmc +3 more sources
Heat, Health and Holidays: Reported Heat Related Adjustments to Australian Tourist Behaviour
This study assessed how climate‐related hazards affect Australian tourists' travel planning. While 80% of tourists report no impact, the 20% who do experience disruption most commonly change their activities, timing, or destination, with heat and rain affecting the same proportion of tourists across beach, city, nature, and family tourism types ...
Kerstin K. Zander +7 more
wiley +1 more source
The geological environment is characterized by continuous dynamic changes. Landslide activity characteristics can reflect the geological environmental background that affects the landslide development in different historical periods.
Zhihua Yang +5 more
doaj +1 more source
Landslide susceptibility assessment based on the SOM-I-SVM model
When using machine learning models for landslide susceptibility evaluation, the non-landslide sample points are usually selected randomly outside the landslide influence area, leading to a certain error.
Yufei JIA +5 more
doaj +1 more source
ABSTRACT The Cadí Massif (42°17′09″ N, 1°38′11″ E; 2649 m a.s.l.) in the southeastern Pyrenees preserves clear evidence of Late Pleistocene glaciation, although previous research has focused almost exclusively on its northern slope. By contrast, the southern slope has remained largely unexplored.
M. Oliva +5 more
wiley +1 more source
Amplifying landslide hazards in the backdrop of warming climate and intensifying human activities calls for an integrated framework for accurately evaluating landslide susceptibility at fine spatiotemporal resolutions, which is critical for the ...
Wenhuan Wu +6 more
doaj +1 more source
A talus rock glacier in Nantlle Valley, North Wales
ABSTRACT Landforms comprising mixtures of fine and coarse sediment and deposited during late glacial times are ubiquitous in the British mountains. In many cases, their interpretation has often proved contentious; as a result, the non‐generic term discrete debris accumulations (DDA) has been used to describe them and, over the last 50 years, some have ...
Stephan Harrison, Ed Anderson
wiley +1 more source

