[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 …

Use of LIDAR in landslide investigations: a review

M Jaboyedoff, T Oppikofer, A Abellán, MH Derron… - Natural hazards, 2012 - Springer
This paper presents a short history of the appraisal of laser scanner technologies in
geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) …

Remote sensing for landslide investigations: An overview of recent achievements and perspectives

M Scaioni, L Longoni, V Melillo, M Papini - Remote Sensing, 2014 - mdpi.com
Landslides represent major natural hazards, which cause every year significant loss of lives
and damages to buildings, properties and lifelines. In the last decades, a significant increase …

An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran

MK Garajeh, F Malakyar, Q Weng, B Feizizadeh… - Science of the Total …, 2021 - Elsevier
Traditional soil salinity studies are time-consuming and expensive, especially over large
areas. This study proposed an innovative deep learning convolutional neural network (DL …

Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping

M Boroughani, S Pourhashemi, H Hashemi… - Ecological …, 2020 - Elsevier
The aim of this research was to develop a method to produce a Dust Source Susceptibility
Map (DSSM). For this purpose, we applied remote sensing and statistical-based machine …

Recent technological and methodological advances for the investigation of landslide dams

X Fan, A Dufresne, J Whiteley, AP Yunus… - Earth-Science …, 2021 - Elsevier
River-damming by landslides is a widespread phenomenon around the world. Recent
advances in remote sensing technology and the rising commercial availability of their …

Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data

KE Joyce, SV Samsonov, SR Levick, J Engelbrecht… - Natural hazards, 2014 - Springer
Geological hazards and their effects are often geographically widespread. Consequently,
their effective mapping and monitoring is best conducted using satellite and airborne …

Structure from motion multisource application for landslide characterization and monitoring: The champlas du col case study, sestriere, North-Western Italy

M Cignetti, D Godone, A Wrzesniak, D Giordan - Sensors, 2019 - mdpi.com
Structure from Motion (SfM) is a powerful tool to provide 3D point clouds from a sequence of
images taken from different remote sensing technologies. The use of this approach for …

Application of a multi‐temporal, LiDAR‐derived, digital terrain model in a landslide‐volume estimation

CM Tseng, CW Lin, CP Stark, JK Liu… - Earth Surface …, 2013 - Wiley Online Library
Sediments produced by landslides are crucial in the sediment yield of a catchment, debris
flow forecasting, and related hazard assessment. On a regional scale, however, it is difficult …

Use of high-resolution multi-temporal DEM data for landslide detection

B Azmoon, A Biniyaz, Z Liu - Geosciences, 2022 - mdpi.com
Landslides in urban areas have been relatively well-documented in landslide inventories
despite issues in accuracy and completeness, eg, the absence of small landslides. By …