Results 111 to 120 of about 8,135 (207)
Machine learning (ML) algorithms are frequently used in landslide susceptibility modeling. Different data handling strategies may generate variations in landslide susceptibility modeling, even when using the same ML algorithm.
Guruh Samodra +2 more
doaj +1 more source
Effects of landslide inventories uncertainty on landslide susceptibility modelling
info:eu-repo/semantics ...
Zêzere, José +5 more
openaire +1 more source
An integrated approach for evaluating the effectiveness of landslide risk reduction in unplanned communities in the Caribbean [PDF]
Despite the recognition of the need for mitigation approaches to landslide risk in developing countries, the delivery of ‘on-the-ground’ measures is rarely undertaken. With respect to other ‘natural’ hazards it is widely reported that mitigation can pay.
Edmund Wright +3 more
core
Developing a simple soil erosion model including spatial variability in headwater catchments
Abstract Hillslopes and stream channels are tightly linked in headwater catchments, where soil erosion on slopes is transported to channels depending on topography, soil properties, and ground cover conditions. Because these environments are highly spatially variable, geographic information system (GIS)‐based modeling approaches are effective for ...
Binyam Alemu Yosef +4 more
wiley +1 more source
Landslide Susceptibility Zoning Using GIS Tools: An Application in the Germanasca Valley (NW Italy)
Landslide susceptibility mapping is a fundamental tool for disaster management and planning development activities in mountainous areas. The landslide susceptibility maps produced in the present work represent a step forward in the management of ...
PIRAS, MARCO +10 more
core +1 more source
The impacts of biological invasions
ABSTRACT The Anthropocene is characterised by a continuous human‐mediated reshuffling of the distributions of species globally. Both intentional and unintentional introductions have resulted in numerous species being translocated beyond their native ranges, often leading to their establishment and subsequent spread – a process referred to as biological
Phillip J. Haubrock +42 more
wiley +1 more source
Landslide susceptibility map of the Salem east and Salem west quadrangles
plate 1. Liquefaction susceptibility map of the Salem east and Salem west quadrangles, Marion and Polk counties, Oregon -- plate 2. Amplication susceptibility map of the Salem east and Salem west quadrangles, Marion and Polk counties, Oregon -- plate 3 ...
core
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
Landslide Susceptibility Prediction System
Abstract The research presents an innovative landslide susceptibility prediction system that harnesses the power of machine learning and a data-driven approach. This system relies on a robust dataset encompassing five crucial parameters: slope, elevation, precipitation, soil type, and rainfall.
Kuldeep Vayadande +5 more
openaire +1 more source
Change in Landslide susceptibility
Maps illustrating the absolute change in probabilistic landslide susceptibility values following the impact of (a) Storm Podul and (b) Typhoon Molave in comparison to the post-Ketsana susceptibility conditions.
Raja Das (18456909)
core +1 more source

