Application of LiDAR Differentiation and a Modified Savage–Hutter Model to Analyze Co-Seismic Landslides: A Case Study of the 2024 Noto Earthquake, Japan DOI Creative Commons
Christopher Gomez, Danang Sri Hadmoko

Geosciences, Journal Year: 2025, Volume and Issue: 15(5), P. 180 - 180

Published: May 15, 2025

This study investigates co-seismic landslides triggered by the 1 January 2024 Mw 7.6 Noto Peninsula earthquake in Japan using LiDAR differentiation and a modified Savage–Hutter model. By analyzing pre- post-earthquake high-resolution topographic data from 13 geologically homogeneous area of peninsula, we characterized distinct landslide morphologies dynamic behaviours. Our approach combined static morphological analysis with simulations granular flow mechanics to evaluate mobility. Results revealed two types: those clear erosion-deposition zonation complex discontinuous changes. Landslide dimensions followed power-law relationships (H = 7.51L0.50, R2 0.765), while demonstrated that internal deformation capability (represented μ parameter) significantly influenced runout distances for terminating on low-angle surfaces but had minimal impact slope-confined movements. These findings highlight importance integrating both parameters when assessing hazards, particularly predicting potential gentle slopes where human settlements are often located. methodology provides framework improved susceptibility assessment disaster risk reduction seismically active regions.

Language: Английский

Land surveying with UAV photogrammetry and LiDAR for optimal building planning DOI Creative Commons
Paul Sestraș, Gheorghe Badea,

Ana Cornelia Badea

et al.

Automation in Construction, Journal Year: 2025, Volume and Issue: 173, P. 106092 - 106092

Published: Feb. 27, 2025

Language: Английский

Citations

0
UAV-Based Soil Water Erosion Monitoring: Current Status and Trends DOI Creative Commons
Beatriz Macêdo Medeiros, Bernardo Moreira Cândido, Paúl Andrés Jiménez Jiménez

et al.

Drones, Journal Year: 2025, Volume and Issue: 9(4), P. 305 - 305

Published: April 14, 2025

Soil erosion affects land productivity, water quality, and ecosystem resilience. Traditional monitoring methods are often time-consuming, labor-intensive, resource-demanding, while unmanned aerial vehicles (UAVs) provide high-resolution, near-real-time data, improving accuracy. This study conducts a bibliometric analysis of UAV-based soil research to explore trends, technologies, challenges. A systematic review Web Science Scopus articles identified 473 relevant studies after filtering for terms that refer types erosion. Analysis using R’s bibliometrix package shows is concentrated in Asia, Europe, the Americas, with 304 publications following surge. Multi-rotor UAVs RGB sensors most common. Gully studied form issue, followed by landslides, rills, interrill piping Significant gaps remain rill research. The integration satellite laser surveys, properties limited but crucial. While challenges such as data accuracy persist, offer cost-effective, capabilities, enabling rapid responses changes. Future work should focus on multi-source fusion enhance conservation strategies.

Language: Английский

Citations

0
Application of LiDAR Differentiation and a Modified Savage–Hutter Model to Analyze Co-Seismic Landslides: A Case Study of the 2024 Noto Earthquake, Japan DOI Creative Commons
Christopher Gomez, Danang Sri Hadmoko

Geosciences, Journal Year: 2025, Volume and Issue: 15(5), P. 180 - 180

Published: May 15, 2025

This study investigates co-seismic landslides triggered by the 1 January 2024 Mw 7.6 Noto Peninsula earthquake in Japan using LiDAR differentiation and a modified Savage–Hutter model. By analyzing pre- post-earthquake high-resolution topographic data from 13 geologically homogeneous area of peninsula, we characterized distinct landslide morphologies dynamic behaviours. Our approach combined static morphological analysis with simulations granular flow mechanics to evaluate mobility. Results revealed two types: those clear erosion-deposition zonation complex discontinuous changes. Landslide dimensions followed power-law relationships (H = 7.51L0.50, R2 0.765), while demonstrated that internal deformation capability (represented μ parameter) significantly influenced runout distances for terminating on low-angle surfaces but had minimal impact slope-confined movements. These findings highlight importance integrating both parameters when assessing hazards, particularly predicting potential gentle slopes where human settlements are often located. methodology provides framework improved susceptibility assessment disaster risk reduction seismically active regions.

Language: Английский

Citations

0