Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts
Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
A review of recent earthquake-induced landslides on the Tibetan Plateau
Earthquake-induced landslides, also called seismic landslides (SLs), are some of the most
catastrophic natural hazards on the Tibetan Plateau (TP). They have frequently caused …
catastrophic natural hazards on the Tibetan Plateau (TP). They have frequently caused …
Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection
There is a growing demand for detailed and accurate landslide maps and inventories
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …
[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) …
Landslide4sense: Reference benchmark data and deep learning models for landslide detection
This study introduces\textit {Landslide4Sense}, a reference benchmark for landslide
detection from remote sensing. The repository features 3,799 image patches fusing optical …
detection from remote sensing. The repository features 3,799 image patches fusing optical …
Glacial lake outburst floods as drivers of fluvial erosion in the Himalaya
Himalayan rivers are frequently hit by catastrophic floods that are caused by the failure of
glacial lake and landslide dams; however, the dynamics and long-term impacts of such …
glacial lake and landslide dams; however, the dynamics and long-term impacts of such …
Mapping landslides on EO data: Performance of deep learning models vs. traditional machine learning models
Mapping landslides using automated methods is a challenging task, which is still largely
done using human efforts. Today, the availability of high-resolution EO data products is …
done using human efforts. Today, the availability of high-resolution EO data products is …
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal
Mapping and monitoring landslides in remote areas with steep and mountainous terrain is
logistically challenging, expensive, and time consuming. Yet, in order to mitigate hazards …
logistically challenging, expensive, and time consuming. Yet, in order to mitigate hazards …
Multi-hazard susceptibility and exposure assessment of the Hindu Kush Himalaya
Mountainous regions are highly hazardous, and these hazards often lead to loss of human
life. The Hindu Kush Himalaya (HKH), like many mountainous regions, is the site of multiple …
life. The Hindu Kush Himalaya (HKH), like many mountainous regions, is the site of multiple …
A multi-hazards earth science perspective on the COVID-19 pandemic: the potential for concurrent and cascading crises
Meteorological and geophysical hazards will concur and interact with coronavirus disease
(COVID-19) impacts in many regions on Earth. These interactions will challenge the …
(COVID-19) impacts in many regions on Earth. These interactions will challenge the …