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 …
Landslide scaling: a review
SF Tebbens - Earth and Space Science, 2020 - Wiley Online Library
This paper is a review of landslide and rockfall studies of hilly and mountainous regions
worldwide. Repositories of landslide inventories are available online (eg, Tanyaş et al …
worldwide. Repositories of landslide inventories are available online (eg, Tanyaş et al …
Landslide detection using multi-scale image segmentation and different machine learning models in the higher himalayas
Landslides represent a severe hazard in many areas of the world. Accurate landslide maps
are needed to document the occurrence and extent of landslides and to investigate their …
are needed to document the occurrence and extent of landslides and to investigate their …
[HTML][HTML] Framework for improving the resilience and recovery of transportation networks under geohazard risks
Rural transportation networks are highly susceptible to geohazards such as earthquakes
and landslides. Indirect losses can be severe because the breakdown of a transportation …
and landslides. Indirect losses can be severe because the breakdown of a transportation …
Roads and landslides in Nepal: how development affects environmental risk
BG McAdoo, M Quak, KR Gnyawali… - … Hazards and Earth …, 2018 - nhess.copernicus.org
The number of deaths from landslides in Nepal has been increasing dramatically due to a
complex combination of earthquakes, climate change, and an explosion of informal road …
complex combination of earthquakes, climate change, and an explosion of informal road …
Factors controlling landslide frequency–area distributions
A power‐law relation for the frequency–area distribution (FAD) of medium and large
landslides (eg tens to millions of square meters) has been observed by numerous authors …
landslides (eg tens to millions of square meters) has been observed by numerous authors …
Characteristics of landslides triggered by the 2018 Hokkaido Eastern Iburi earthquake, Northern Japan
Abstract On 6 September 2018, a Mj 6.7 (Mw 6.6) earthquake with a focal depth of
approximately 37 km and maximum seismic intensity of 7.0 on the Japan Meteorological …
approximately 37 km and maximum seismic intensity of 7.0 on the Japan Meteorological …
Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics
Inventories of seismically induced landslides provide essential information about the extent
and severity of ground effects after an earthquake. Rigorous assessment of the …
and severity of ground effects after an earthquake. Rigorous assessment of the …
A comparative study of statistics-based landslide susceptibility models: A case study of the region affected by the gorkha earthquake in nepal
As a result of the Gorkha earthquake in 2015, about 9000 people lost their lives and many
more were injured. Most of these losses were caused by earthquake-induced landslides …
more were injured. Most of these losses were caused by earthquake-induced landslides …
Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal
In this article, we propose and test alternative sampling strategies based on clustering
distribution concepts to increase the efficiency of the landslide susceptibility model …
distribution concepts to increase the efficiency of the landslide susceptibility model …