Enhancing the Thermal Images of the Upper Scarp of the Poggio Baldi Landslide (Italy) by Physical Modeling and Image Analysis

Massi, A.; Ortolani, Michele; Vitulano, Domenico; Bruni, Vittoria

doi:10.3390/rs15040907

Cited by 4 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method's adaptability and capabilities enable its application, which has been tried and tested in recent years for volcanic surveillance [15,16], geothermal [17][18][19], archaeological [20], and civil engineering [21,22]. As the number of IRT applications for engineering geology increases, ranging from in situ laboratory testing [23,24], sinkhole detection [25], or large-scale rock slope instability monitoring (e.g., [24,[26][27][28][29][30][31][32][33]) there are very few examples of IRT applications for quantitative monitoring of shallow rain-triggered landslides in the literature [32].…”

Section: Introductionmentioning

confidence: 99%

Optical and Thermal Image Processing for Monitoring Rainfall Triggered Shallow Landslides: Insights from Analogue Laboratory Experiments

Cosentino,

Marmoni,

Fiorucci

et al. 2023

Remote Sensing

Self Cite

View full text Add to dashboard Cite

This study explores the innovative use of digital image processing (DIP) techniques, also named PhotoMonitoring, for analysing the triggering conditions of shallow landslides. The approach, based on the combination of optical and infrared thermographic imaging (IRT), was applied to a laboratory-scale slope, reproduced in a flume test apparatus. Three experiments were conducted to replicate rainfall-induced shallow landslides, applying change detection and digital image correlation analysis to both optical and thermal images. The method combines IRT’s ability to measure ground surface temperature changes with DIP’s capacity to track movement and displacement. Results showed the high reliability of the displacement time-series obtained through IRT-DIP with respect to the reference optical-DIP. The IRT-DIP technique also detects anomaly signals two minutes before landslide occurrence that can be regarded as a possible failure precursor. This study testifies to the potential of image analysis as a remote sensing technique, demonstrating the ability of DIP to capture the dynamics of shallow landslides, as well as the advantages of optical–IRT combinations to follow slope deformation processes during night-time. This approach, if properly adapted to real-scale scenarios, may contribute to a better understanding of landslide behaviour, improve landslide monitoring strategies, and promote more effective early warning systems (EWS).

show abstract

Section: Introductionmentioning

confidence: 99%

Optical and Thermal Image Processing for Monitoring Rainfall Triggered Shallow Landslides: Insights from Analogue Laboratory Experiments

Cosentino,

Marmoni,

Fiorucci

et al. 2023

Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The electromagnetic radiation is received by a sensor on an RS platform (towers/cranes at the ground level, helicopters/aircraft at the aerial level, and space shuttles/satellites at the space-borne level) and is converted into a signal that can be recorded and displayed in different formats: optical, infrared, radar, microwave, acoustic, and visual, according to the elaborative purpose. Different RS systems have been proposed, corresponding to each data source type [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

An Open Image Resizing Framework for Remote Sensing Applications and Beyond

Ramella

Themistoclakis

2023

Remote Sensing

View full text Add to dashboard Cite

Image resizing (IR) has a crucial role in remote sensing (RS), since an image’s level of detail depends on the spatial resolution of the acquisition sensor; its design limitations; and other factors such as (a) the weather conditions, (b) the lighting, and (c) the distance between the satellite platform and the ground targets. In this paper, we assessed some recent IR methods for RS applications (RSAs) by proposing a useful open framework to study, develop, and compare them. The proposed framework could manage any kind of color image and was instantiated as a Matlab package made freely available on Github. Here, we employed it to perform extensive experiments across multiple public RS image datasets and two new datasets included in the framework to evaluate, qualitatively and quantitatively, the performance of each method in terms of image quality and statistical measures.

show abstract

Infrared thermography reveals weathering hotspots at the Požáry field laboratory

Loche,

Racek,

Petružálek

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Evaluating physical properties and mechanical parameters of rock slopes and their spatial variability is challenging, particularly at locations inaccessible for fieldwork. This obstacle can be bypassed by acquiring spatially-distributed field data indirectly. InfraRed Thermography (IRT) has emerged as a promising technology to statistically infer rock properties and inform slope stability models. Here, we explore the use of Cooling Rate Indices (CRIs) to quantify the thermal response of a granodiorite rock wall within the recently established Požáry Test Site in Czechia. We observe distinct cooling patterns across different segments of the wall, compatible with the different degrees of weathering evaluated in the laboratory and suggested by IRT observations of cored samples. Our findings support previous examinations of the efficacy of this method and unveil correlations between cooling phases in the field and in the laboratory. We discuss the scale-dependency of the Informative Time Window (ITW) of the CRIs, noting that it may serve as a reference for conducting systematic IRT field surveys. We contend that our approach not only represents a viable and scientifically robust strategy for characterising rock slopes but also holds the potential for identifying unstable areas.

show abstract

Enhancing the Thermal Images of the Upper Scarp of the Poggio Baldi Landslide (Italy) by Physical Modeling and Image Analysis

Cited by 4 publications

References 44 publications

Optical and Thermal Image Processing for Monitoring Rainfall Triggered Shallow Landslides: Insights from Analogue Laboratory Experiments

Optical and Thermal Image Processing for Monitoring Rainfall Triggered Shallow Landslides: Insights from Analogue Laboratory Experiments

An Open Image Resizing Framework for Remote Sensing Applications and Beyond

Infrared thermography reveals weathering hotspots at the Požáry field laboratory

Contact Info

Product

Resources

About