UAV platforms equipped with RTK positioning and LiDAR sensors are increasingly used for landslide monitoring, offering frequent, high-resolution surveys with broad spatial coverage. In this study, we applied high-frequency UAV-based monitoring to the active Baldiola earthflow (Northern Apennines, Italy), integrating 10 UAV–LiDAR and photogrammetric surveys, acquired at average intervals of 14 days over a four-month period. UAV-derived orthophotos and DEMs supported displacement analysis through homologous point tracking (HPT), with robotic total station measurements serving as ground-truth data for validation. DEMs were also used for multi-temporal DEM of Difference (DoD) analysis to assess elevation changes and identify depletion and accumulation patterns. Displacement trends derived from HPT showed strong agreement with RTS data in both horizontal (R2 = 0.98) and vertical (R2 = 0.94) components, with cumulative displacements ranging from 2 m to over 40 m between April and August 2024. DoD analysis further supported the interpretation of slope processes, revealing sector-specific reactivations and material redistribution. UAV-based monitoring provided accurate displacement measurements, operational flexibility, and spatially complete datasets, supporting its use as a reliable and scalable tool for landslide analysis. The results support its potential as a stand-alone solution for both monitoring and emergency response applications.

Leveraging High-Frequency UAV–LiDAR Surveys to Monitor Earthflow Dynamics—The Baldiola Landslide Case Study / Lelli, Francesco; Mulas, Marco; Critelli, Vincenzo; Fabbiani, Cecilia; Tondo, Melissa; Aleotti, Marco; Corsini, Alessandro. - In: REMOTE SENSING. - ISSN 2072-4292. - 17:15(2025), pp. 1-37. [10.3390/rs17152657]

Leveraging High-Frequency UAV–LiDAR Surveys to Monitor Earthflow Dynamics—The Baldiola Landslide Case Study

Lelli, Francesco
Writing – Original Draft Preparation
;
Mulas, Marco
Writing – Review & Editing
;
Critelli, Vincenzo
Investigation
;
Fabbiani, Cecilia
Investigation
;
Tondo, Melissa
Visualization
;
Corsini, Alessandro
Writing – Review & Editing
2025

Abstract

UAV platforms equipped with RTK positioning and LiDAR sensors are increasingly used for landslide monitoring, offering frequent, high-resolution surveys with broad spatial coverage. In this study, we applied high-frequency UAV-based monitoring to the active Baldiola earthflow (Northern Apennines, Italy), integrating 10 UAV–LiDAR and photogrammetric surveys, acquired at average intervals of 14 days over a four-month period. UAV-derived orthophotos and DEMs supported displacement analysis through homologous point tracking (HPT), with robotic total station measurements serving as ground-truth data for validation. DEMs were also used for multi-temporal DEM of Difference (DoD) analysis to assess elevation changes and identify depletion and accumulation patterns. Displacement trends derived from HPT showed strong agreement with RTS data in both horizontal (R2 = 0.98) and vertical (R2 = 0.94) components, with cumulative displacements ranging from 2 m to over 40 m between April and August 2024. DoD analysis further supported the interpretation of slope processes, revealing sector-specific reactivations and material redistribution. UAV-based monitoring provided accurate displacement measurements, operational flexibility, and spatially complete datasets, supporting its use as a reliable and scalable tool for landslide analysis. The results support its potential as a stand-alone solution for both monitoring and emergency response applications.
2025
31-lug-2025
17
15
1
37
Leveraging High-Frequency UAV–LiDAR Surveys to Monitor Earthflow Dynamics—The Baldiola Landslide Case Study / Lelli, Francesco; Mulas, Marco; Critelli, Vincenzo; Fabbiani, Cecilia; Tondo, Melissa; Aleotti, Marco; Corsini, Alessandro. - In: REMOTE SENSING. - ISSN 2072-4292. - 17:15(2025), pp. 1-37. [10.3390/rs17152657]
Lelli, Francesco; Mulas, Marco; Critelli, Vincenzo; Fabbiani, Cecilia; Tondo, Melissa; Aleotti, Marco; Corsini, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1384392
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