[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
[HTML][HTML] Landslides in a changing climate
SL Gariano, F Guzzetti - Earth-science reviews, 2016 - Elsevier
Warming of the Earth climate system is unequivocal. That climate changes affect the stability
of natural and engineered slopes and have consequences on landslides, is also …
of natural and engineered slopes and have consequences on landslides, is also …
Ensemble boosting and bagging based machine learning models for groundwater potential prediction
Due to the rapidly increasing demand for groundwater, as one of the principal freshwater
resources, there is an urge to advance novel prediction systems to more accurately estimate …
resources, there is an urge to advance novel prediction systems to more accurately estimate …
[HTML][HTML] Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
[HTML][HTML] An explainable AI (XAI) model for landslide susceptibility modeling
Landslides are among the most devastating natural hazards, severely impacting human
lives and damaging property and infrastructure. Landslide susceptibility maps, which help to …
lives and damaging property and infrastructure. Landslide susceptibility maps, which help to …
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
JN Goetz, A Brenning, H Petschko, P Leopold - Computers & geosciences, 2015 - Elsevier
Statistical and now machine learning prediction methods have been gaining popularity in
the field of landslide susceptibility modeling. Particularly, these data driven approaches …
the field of landslide susceptibility modeling. Particularly, these data driven approaches …
Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran
O Rahmati, HR Pourghasemi, H Zeinivand - Geocarto International, 2016 - Taylor & Francis
Flood is one of the most devastating natural disasters with socio-economic and
environmental consequences. Thus, comprehensive flood management is essential to …
environmental consequences. Thus, comprehensive flood management is essential to …
[PDF][PDF] Changes in climate extremes and their impacts on the natural physical environment
N Nicholls, D Easterling, CM Goodess… - Managing the risks …, 2012 - library.harvard.edu
A changing climate can lead to changes in the frequency, intensity or duration of an extreme
event, or result in an 3 unprecedented, previously unobserved, extreme. As well, a weather …
event, or result in an 3 unprecedented, previously unobserved, extreme. As well, a weather …
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate …
H Hong, HR Pourghasemi, ZS Pourtaghi - Geomorphology, 2016 - Elsevier
Landslides are an important natural hazard that causes a great amount of damage around
the world every year, especially during the rainy season. The Lianhua area is located in the …
the world every year, especially during the rainy season. The Lianhua area is located in the …
Landslide susceptibility mapping using different GIS-based bivariate models
Landslides are the most frequent phenomenon in the northern part of Iran, which cause
considerable financial and life damages every year. One of the most widely used …
considerable financial and life damages every year. One of the most widely used …