Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts

X Fan, G Scaringi, O Korup, AJ West… - Reviews of …, 2019 - Wiley Online Library
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 …

[HTML][HTML] Landslide inventory maps: New tools for an old problem

F Guzzetti, AC Mondini, M Cardinali, F Fiorucci… - Earth-Science …, 2012 - Elsevier
Landslides are present in all continents, and play an important role in the evolution of
landscapes. They also represent a serious hazard in many areas of the world. Despite their …

Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition

M Kopecký, M Macek, J Wild - Science of the Total Environment, 2021 - Elsevier
Soil moisture controls environmental processes and species distributions, but it is difficult to
measure and interpolate across space. Topographic Wetness Index (TWI) derived from …

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

Y Wu, Y Ke, Z Chen, S Liang, H Zhao, H Hong - Catena, 2020 - Elsevier
Landslides are a common type of natural disaster that brings great threats to the human lives
and economic development around the world, especially in the Chinese Loess Plateau …

The application of a digital relief model to landform analysis in geomorphology

R Dikau - Three dimensional applications in GIS, 2020 - taylorfrancis.com
The automated derivation of landforms has become a necessity for quantitative analysis in
geomorphology. Furthermore, the application of Geographic Information System …

Flood susceptibility mapping using convolutional neural network frameworks

Y Wang, Z Fang, H Hong, L Peng - Journal of hydrology, 2020 - Elsevier
Flood is a very destructive natural disaster in the world, which seriously threatens the safety
of human life and property. In this paper, the most popular convolutional neural network …

Unified geomorphological analysis workflows with benthic terrain modeler

S Walbridge, N Slocum, M Pobuda, DJ Wright - Geosciences, 2018 - mdpi.com
High resolution remotely sensed bathymetric data is rapidly increasing in volume, but
analyzing this data requires a mastery of a complex toolchain of disparate software …

[HTML][HTML] Presenting logistic regression-based landslide susceptibility results

L Lombardo, PM Mai - Engineering geology, 2018 - Elsevier
A new work-flow is proposed to unify the way the community shares Logistic Regression
results for landslide susceptibility purposes. Although Logistic Regression models and …

Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran

A Arabameri, S Saha, J Roy, W Chen, T Blaschke… - Remote Sensing, 2020 - mdpi.com
This analysis aims to generate landslide susceptibility maps (LSMs) using various machine
learning methods, namely random forest (RF), alternative decision tree (ADTree) and …

Digital terrain modelling: a review of hydrological, geomorphological, and biological applications

ID Moore, RB Grayson, AR Ladson - Hydrological processes, 1991 - Wiley Online Library
The topography of a catchment has a major impact on the hydrological, geomorphological,
and biological processes active in the landscape. The spatial distribution of topographic …