Results 31 to 40 of about 159,716 (337)

Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide

Remote Sensing, 2022
Accurate remote analyses of high-alpine landslides are a key requirement for future alpine safety. In critical stages of alpine landslide evolution, UAS (unmanned aerial system) data can be employed using image registration to derive ground motion with ...
Doris Hermle, Michele Gaeta, Michael Krautblatter, Paolo Mazzanti, Markus Keuschnig   +4 more
doaj   +1 more source

Thermal influences on spontaneous rock dome exfoliation

Nature Communications, 2018
Thermal triggering of rock exfoliation has long been discounted as relevant to the evolution of rock domes. Here, the authors documented and measured recent fracturing events in California, USA to show that hot summer periods can lead to thermal stresses
Brian D. Collins, Greg M. Stock, Martha-Cary Eppes, Scott W. Lewis, Skye C. Corbett, Joel B. Smith   +5 more
doaj   +1 more source

A review of landslide acceptable risk and tolerable risk

Geoenvironmental Disasters, 2022
Landslides are one of the most important geohazards. In 2004–2016, more than 55,000 people lost their lives to landslides and this does not include deaths caused by seismically triggered landslides.
Kwan Ben Sim, M. Lee, Soon Yee Wong
semanticscholar   +1 more source

Landslides/Landslide Mitigation [PDF]

, 1992
Abstract Provides a variety of case histories, methodology to help identify, quantify, and mitigate landlsides, and legal cases affecting engineering geology. Part I provides basic information to aid in assessing geologic hazards related to compound landslides, surficial slope failures, and causes of distress to residential construction.
openaire   +1 more source

How water, temperature, and seismicity control the preconditioning of massive rock slope failure (Hochvogel) [PDF]

Earth Surface Dynamics
The anticipation of massive rock slope failures is a key mitigation strategy in a changing climate and environment requiring a precise understanding of pre-failure process dynamics.
J. Leinauer, M. Dietze, M. Dietze, S. Knapp, S. Knapp, R. Scandroglio, M. Jokel, M. Krautblatter   +7 more
doaj   +1 more source

Systematic Quantification and Assessment of Digital Image Correlation Performance for Landslide Monitoring

Geosciences, 2023
Accurate and reliable analyses of high-alpine landslide displacement magnitudes and rates are key requirements for current and future alpine early warnings.
Doris Hermle, Markus Keuschnig, Michael Krautblatter, Valentin Tertius Bickel   +3 more
doaj   +1 more source

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Remote Sensing, 2019
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 standard mapping methods require expert knowledge, supervision and fieldwork.
O. Ghorbanzadeh, T. Blaschke, Khalil Gholamnia, S. Meena, D. Tiede, J. Aryal   +5 more
semanticscholar   +1 more source

Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA [PDF]

Natural Hazards and Earth System Sciences
As wildfire increases in the western United States, so do postfire debris-flow hazards. The U.S. Geological Survey (USGS) has developed two separate models to estimate (1) rainfall intensity thresholds for postfire debris-flow initiation and (2) debris ...
F. K. Rengers, S. Bower, A. Knapp, J. W. Kean, D. W. vonLembke, M. A. Thomas, J. Kostelnik, K. R. Barnhart, M. Bethel, J. E. Gartner, M. Hille, D. M. Staley, J. K. Anderson, E. K. Roberts, S. B. DeLong, B. Lane, P. Ridgway, B. P. Murphy   +17 more
doaj   +1 more source

Direct impacts of landslides on socio-economic systems: a case study from Aranayake, Sri Lanka

Geoenvironmental Disasters, 2018
Background Landslides area controversial issue worldwide and cause a wide range of impacts on the socio-economic systems of the affected community. However, empirical studies of affected environments remain inadequate for prediction and decision making ...
E. N. C. Perera, D. T. Jayawardana, P. Jayasinghe, R. M. S. Bandara, N. Alahakoon   +4 more
doaj   +1 more source

Landslide Susceptibility Mapping with Deep Learning Algorithms

Sustainability, 2022
Among natural hazards, landslides are devastating in China. However, little is known regarding potential landslide-prone areas in Maoxian County. The goal of this study was to apply four deep learning algorithms, the convolutional neural network (CNN ...
Jules Maurice Habumugisha, N. Chen, Mahfuzur Rahman, Md. Monirul Islam, Hilal Ahmad, A. Elbeltagi, Gitika Sharma, Sharmina Naznin Liza, A. Dewan   +8 more
semanticscholar   +1 more source