[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

[HTML][HTML] Landslide failures detection and map** using Synthetic Aperture Radar: Past, present and future

AC Mondini, F Guzzetti, KT Chang, O Monserrat… - Earth-Science …, 2021 - Elsevier
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

The use of unmanned aerial vehicles (UAVs) for engineering geology applications

D Giordan, MS Adams, I Aicardi, M Alicandro… - Bulletin of Engineering …, 2020 - Springer
This paper represents the result of the IAEG C35 Commission “Monitoring methods and
approaches in engineering geology applications” workgroup aimed to describe a general …

[HTML][HTML] Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities

M Kucharczyk, CH Hugenholtz - Remote Sensing of Environment, 2021 - Elsevier
Abstract Small (< 25 kg) aerial drones have expanded the remote sensing toolkit for disaster
management activities. Here, we provide a critical review of drone-based remote sensing of …

[HTML][HTML] UAV in the advent of the twenties: Where we stand and what is next

F Nex, C Armenakis, M Cramer, DA Cucci… - ISPRS journal of …, 2022 - Elsevier
Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …

Multitemporal UAV surveys for landslide map** and characterization

G Rossi, L Tanteri, V Tofani, P Vannocci, S Moretti… - Landslides, 2018 - Springer
This paper presents the preliminary results of the IPL project 196 “Development and
applications of a multi-sensor drone for geohazards monitoring and map**.” The objective …

[HTML][HTML] A state-of-the-art review of automated extraction of rock mass discontinuity characteristics using three-dimensional surface models

R Battulwar, M Zare-Naghadehi, E Emami… - Journal of Rock …, 2021 - Elsevier
In the last two decades, significant research has been conducted in the field of automated
extraction of rock mass discontinuity characteristics from three-dimensional (3D) models …

Applications, databases and open computer vision research from drone videos and images: a survey

Y Akbari, N Almaadeed, S Al-Maadeed… - Artificial Intelligence …, 2021 - Springer
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Automatic identification and characterization of discontinuities in rock masses from 3D point clouds

D Kong, F Wu, C Saroglou - Engineering Geology, 2020 - Elsevier
The routine application of remote surveying techniques which can quickly acquire 3D digital
data with high resolution, in particular digital photogrammetry, light detection and ranging …

[HTML][HTML] Detection and geometric characterization of rock mass discontinuities using a 3D high-resolution digital outcrop model generated from RPAS imagery–Ormea …

N Menegoni, D Giordan, C Perotti, DD Tannant - Engineering geology, 2019 - Elsevier
The use of a remotely piloted aircraft system (RPAS) and digital photogrammetry is valuable
for the detection of discontinuities in areas where field map** and terrestrial …