Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory

Romeo, Saverio; Cosentino, Antonio; Giani, Francesco; Mastrantoni, Giandomenico

doi:10.3390/s21082632

Cited by 24 publications

(23 citation statements)

References 109 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, specific research on the effect of TIs within the forest geomorphology could be more informative for land managers. The application of advanced remote sensing for example, UAV, LiDAR, InSAR and ArcSAR Interferometry, Gigapixel imaging and Acoustic sensing including the platform of machine learning and deep learning are showing their enormous potentiality in landscape study and monitoring the processes on earth surface very precisely (Romeo et al, 2021). Such technology might be effective in the present context of research also.…”

Section: Future Research Prospect On the Interaction Of Ti And Geomor...mentioning

confidence: 99%

Role of transportation infrastructures on the alteration of hillslope and fluvial geomorphology

Roy¹

2022

The Anthropocene Review

View full text Add to dashboard Cite

Transport network infrastructure interacts with the earth’s surface because they often share common spaces (e.g. river valleys), such that transport is an anthropogenic pressure that can affect geomorphological processes and outcomes. Since having its profound effect worldwide, the systematic study on the effect of transportation infrastructures (TIs) on the alteration of geomorphological forms and processes has been less focused than on any other anthropogeomorphic driver. The present review provides a multidimensional overview based on the available literature and data on the effect of TIs in changing hillslope and fluvial geomorphology to sustain a peaceful harmony between the transport network and its surrounding landscapes. The study underlines the effect of major TIs like trails, roads, railways, tunnels, causeways, waterways and airports on the alteration of different geomorphological processes on hillslope and fluvial landscapes like the movement of earth material, geomorphic connectivity, slope instability, sediment production, gully initiation and surface runoff. For instance, the global level proximity analysis shows ~40% of landslides happen within the 500 m of any major roads only, while at the regional scale it becomes ~65% irrespective of the degree of seismicity. Due to the fast development of TIs, the mountain regions are more prone to slope instability because of the alteration of surface hydrology by increasing runoff, road and ditch guided concentrated flow, rills and gully formation by reducing drainage area to cross the critical threshold limit. The plain regions are primarily facing the problem of fluvial (dis)connectivity because of the close proximity between river and transport networks and undersized causeways. For sustainable TIs development, factors like the practice of bio-engineering for roadside slope management, de-culverting, 100-year flood return for causeway construction, mapping of river corridors, road water harvesting should be incorporated for less effect on hillslope and fluvial geomorphology.

show abstract

Section: Future Research Prospect On the Interaction Of Ti And Geomor...mentioning

confidence: 99%

Role of transportation infrastructures on the alteration of hillslope and fluvial geomorphology

Roy¹

2022

The Anthropocene Review

View full text Add to dashboard Cite

show abstract

“…The lab employs the most advanced remote sensing tools to monitor the activity of the main rock scarp and the related debris talus at its toe. Over the years, many surveys and investigations have been carried out using modern remote sensing techniques (e.g., Terrestrial Laser Scanner, Drone Photogrammetry, Terrestrial-InSAR, Gigapixel imaging, and PhotoMonitoring TM ) in order to acquire as much information as possible about active gravitational processes [22,24,25].…”

Section: Study Areamentioning

confidence: 99%

Contribution of High-Resolution Digital Twins for the Definition of Rockfall Activity and Associated Hazard Modelling

Robiati¹,

Mastrantoni²,

Francioni³

et al. 2022

Preprint

View full text Add to dashboard Cite

The increased accessibility of drone technology and the wide use of Structure from Motion 3D scene reconstruction have transformed the approach for mapping inaccessible slopes undergoing active rockfalls. The Poggio Baldi landslide offers the possibility for many of these techniques to be deployed and integrated with the aim of defining a suitable workflow for the analysis of hazards in mountainous regions. The generation of multitemporal digital slope twins (2016 – 2019), informed a rockfall trajectory analysis that was carried out with a physical-based GIS model. We tested the rockfall scenario reconstructed and calibrated on the analysis of the rock mass characteristics and the geometrical and physical constraints given by the multi-temporal analysis of the SfM point clouds. This time-independent rockfall hazard analysis is a critical component to any subsequent holistic risk analysis on this case study, and any potential similar mountainous setting.

show abstract

“…ing techniques [4]. Motion analysis, applied to optical satellite and UAS imagerying (terrestrial) LiDAR data [5][6][7]-to measure horizontal surface displacement is established method. Image registration, also known as image matching and imag lation, geometrically aligns images and allows tracking for accurate 2D change m ments in optical images.…”

Section: Introductionmentioning

confidence: 99%

Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide

Hermle¹,

Gaeta

Krautblatter³

et al. 2022

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Accurate remote analyses of high-alpine landslides are a key requirement for future alpine safety. In critical stages of alpine landslide evolution, UAS (unmanned aerial system) data can be employed using image registration to derive ground motion with high temporal and spatial resolution. However, classical area-based algorithms suffer from dynamic surface alterations and their limited velocity range restricts detection, resulting in noise from decorrelation and hindering their application to fast landslides. Here, to reduce these limitations we apply for the first time the optical flow-time series to landslides for the analysis of one of the fastest and most critical debris flow source zones in Austria. The benchmark site Sattelkar (2130–2730 m asl), a steep, high-alpine cirque in Austria, is highly sensitive to rainfall and melt-water events, which led to a 70,000 m³ debris slide event after two days of heavy precipitation in summer 2014. We use a UAS data set of five acquisitions (2018–2020) over a temporal range of three years with 0.16 m spatial resolution. Our new methodology is to employ optical flow for landslide monitoring, which, along with phase correlation, is incorporated into the software IRIS. For performance testing, we compared the two algorithms by applying them to the UAS image stacks to calculate time-series displacement curves and ground motion maps. These maps allow the exact identification of compartments of the complex landslide body and reveal different displacement patterns, with displacement curves reflecting an increased acceleration. Visually traceable boulders in the UAS orthophotos provide independent validation of the methodology applied. Here, we demonstrate that UAS optical flow time series analysis generates a better signal extraction, and thus less noise and a wider observable velocity range—highlighting its applicability for the acceleration of a fast, high-alpine landslide.

show abstract

Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory

Cited by 24 publications

References 109 publications

Role of transportation infrastructures on the alteration of hillslope and fluvial geomorphology

Role of transportation infrastructures on the alteration of hillslope and fluvial geomorphology

Contribution of High-Resolution Digital Twins for the Definition of Rockfall Activity and Associated Hazard Modelling

Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide

Contact Info

Product

Resources

About