Improving the application of UAV-LiDAR for erosion monitoring through accounting for uncertainty in DEM of difference

P Li, D Li, J Hu, FE Fassnacht, H Latifi, W Yao, J Gao… - Catena, 2024 - Elsevier
Successful control of erosion requires effective monitoring and an in-depth understanding of
erosion processes over large areas. Data from repeated unmanned aerial vehicles (UAV) …

How does co-registration affect geomorphic change estimates in multi-temporal surveys?

S Cucchiaro, E Maset, M Cavalli, S Crema… - GIScience & Remote …, 2020 - Taylor & Francis
ABSTRACT High-Resolution Topography (HRT) data sets are becoming increasingly
available, improving our ability and opportunities to monitor geomorphic changes through …

LiDAR-change-based mapping of sediment movement from an extreme rainfall event

SE Piovan, ME Hodgson, P Mozzi… - GIScience & Remote …, 2023 - Taylor & Francis
Mapping landscape change at fine scales (eg< 1.0 m resolution) using airborne LiDAR data
from manned aircraft is a significant challenge. This challenge is magnified in disaster …

Novel method for monitoring mining subsidence featuring Co-registration of UAV LiDAR data and photogrammetry

J Liu, X Liu, X Lv, B Wang, X Lian - Applied Sciences, 2022 - mdpi.com
Addressing the problem that traditional methods cannot reliably monitor surface subsidence
in coal mining, a novel method has been developed for monitoring subsidence in mining …

Resilient cultural heritage through digital cultural heritage cube: Two cases in South Korea

Y Choi, YJ Yang, HG Sohn - Journal of Cultural Heritage, 2021 - Elsevier
Recent developments in geospatial information technology have prompted researchers to
utilise geospatial information for decision making in disaster situations. Cultural properties …

Maximizing impacts of remote sensing surveys in slope stability—a novel method to incorporate discontinuities into machine learning landslide prediction

L He, J Coggan, M Francioni, M Eyre - ISPRS International Journal of Geo …, 2021 - mdpi.com
This paper proposes a novel method to incorporate unfavorable orientations of
discontinuities into machine learning (ML) landslide prediction by using GIS-based …

Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

K Bhuyan, SR Meena, L Nava… - GIScience & Remote …, 2023 - Taylor & Francis
Repeated temporal mapping of landslides is essential for investigating changes in landslide
movements, legacy effects of the landslide triggering events, and susceptibility changes in …

Rapid terrain assessment for earthquake-triggered landslide susceptibility with high-resolution DEM and critical acceleration

S Maharjan, KR Gnyawali, DD Tannant, C Xu… - Frontiers in Earth …, 2021 - frontiersin.org
Earthquake ground motion often triggers landslides in mountainous areas. A simple, robust
method to quickly evaluate the terrain's susceptibility of specific locations to earthquake …

[HTML][HTML] Multi-temporal analysis to support the management of torrent control structures

S Cucchiaro, L Martini, E Maset, G Pellegrini, ME Poli… - Catena, 2024 - Elsevier
In the last decade with increasing frequency of extreme weather events, an accurate,
sustainable, and effective planning of torrent control structures has become essential to …

Tracking deformation velocity via PSI and SBAS as a sign of landslide failure: an open-pit mine-induced landslide in Himmetoğlu (Bolu, NW Turkey)

R Eker, A Aydın, T Görüm - Natural Hazards, 2024 - Springer
A destructive landslide occurred in Himmetoğlu village in Göynük District (Bolu, NW Turkey)
caused by open-pit coal mining activities. Field observations after the landslide failure and …