Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

Scaioni, Marco; Longoni, Laura; Melillo, Valentina; Papini, Monica

doi:10.3390/rs6109600

Cited by 313 publications

(181 citation statements)

References 253 publications

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“…The literature also suggests that climate change will continue to enhance potential forest fire activity in different regions of the world (McKenzie et al, 2014;Abatzoglou and Williams, 2016). Remote-sensing technologies can be very useful in monitoring such hazards (Schroeder et al, 2016). Several scientists in the last few years used satellites in fire monitoring (Schroeder et al, 2016).…”

Section: Wildfiresmentioning

confidence: 99%

“…Remote-sensing technologies can be very useful in monitoring such hazards (Schroeder et al, 2016). Several scientists in the last few years used satellites in fire monitoring (Schroeder et al, 2016). More recently, RPASs have been considered to be useful as well (Martinez-de Dios et al, 2011).…”

Section: Wildfiresmentioning

confidence: 99%

“…According to Scaioni et al (2014), applications of remote sensing for landslide investigations can be divided into three classes: (i) landside recognition, classification and post-event analysis, (ii) landslide monitoring and (iii) landslide susceptibility and hazard assessment.…”

Section: Landslidesmentioning

confidence: 99%

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Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Giordan

Hayakawa

Nex

et al. 2018

Nat. Hazards Earth Syst. Sci.

132

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Abstract. The number of scientific studies that consider possible applications of remotely piloted aircraft systems (RPASs) for the management of natural hazards effects and the identification of occurred damages strongly increased in the last decade. Nowadays, in the scientific community, the use of these systems is not a novelty, but a deeper analysis of the literature shows a lack of codified complex methodologies that can be used not only for scientific experiments but also for normal codified emergency operations. RPASs can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes such as landslides or volcanic activities but can also define the effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards. IntroductionIn the last three decades, the number of natural disasters showed a positive trend with an increase in the number of affected populations. Disasters not only affected the poor and characteristically more vulnerable countries but also those thought to be better protected. The Annual Disaster Statistical Review describes recent impacts of natural disasters on the population and reports 342 naturally triggered disasters in 2016 (Guha-Sapir et al., 2017). This is less than the annual average disaster frequency observed from 2006 to 2015 (376.4 events). However, natural disasters are still responsible for a high number of casualties (8733 death). In the period 2006-2015, the average number of causalities caused annually by natural disasters is 69 827. In 2016, hydrological disasters (177) had the largest share in natural disaster occurrence (51.8 %), followed by meteorological disasters (96; 28.1 %), climatological disasters (38; 11.1 %) and geophysical disasters (31; 9.1 %) (Guha-Sapir et al., 2017). To face these disasters, one of the most important solutions is the use of systems able to provide an adequate level of information for correctly understanding these events and their evolution. In this context, surveying and monitoring natural hazards gained importance. In particular, during the emergency phase it is very important to evaluate and control the phenomenon of evolution, preferably operating in near real time or real time, and consequently, use this information for a better risk assessment scenario. The available acquired data must be processed rapidly to support the emergency services and decision makers.Recently, the use of remote sensing (satellite and airborne platform) in the field of natural hazards and disasters has become common, also supported by the increase in geospatial technologies and the ability to provide and process up-to-date imagery (Joyce et al., 2009;Tarolli, 2014). Remotely sensed data play an integral role in predicting hazard events such as floods and landslides, subsidence events and other ground instabilities. Because of their acquisition mode and capabilPublished by Copern...

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Section: Wildfiresmentioning

confidence: 99%

Section: Wildfiresmentioning

confidence: 99%

See 1 more Smart Citation

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Giordan

Hayakawa

Nex

et al. 2018

Nat. Hazards Earth Syst. Sci.

132

View full text Add to dashboard Cite

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“…Some studies also used a combination of both methods [7,20,22]. The relatively new method based on structure from motion as discussed in [55] will further increase the availability of 3-D spatial data, as shown in an UAV study by [48]. It has to be noted that the proposed evaluation concept and all evaluation techniques reviewed for this study are often not strongly influenced by any physical based stopping criteria but are rather based on heuristic stopping assumptions.…”

Section: Discussionmentioning

confidence: 99%

Evaluation concepts to compare observed and simulated deposition areas of mass movements

2017

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The simulation of geophysical mass flows, including debris flows, rock and snow avalanches, has become an important tool in engineering hazard assessment. Especially the runout and deposition behaviour of observed and expected mass flows are of interest. When being confronted with the evaluation of model performance and sensitivity, there are no standard, objective approaches. In this contribution, we review methods that have been used in literature and outline a new approach to quantitatively compare 2D simulations of observed and simulated deposition pattern. Our proposed method is based on the comparison of normalized partial areas which can be plotted in a ternary diagram to visualize the degree of over-and under-estimation. Results can be summed up by a single metric between -1 (no fit) and 1 (perfect fit). This study shall help developers and end-users of simulation models to better understand model behaviour and provides a possibility for comparison of model results, independent of simulation platform and type of mass flow.

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“…Moreover, to really improve the reliability of this approach, a monitoring system capable of detecting detailed information on rock mass behavior may be used. For instance, remote sensing techniques [61] could be powerful tools for evaluating surface displacements in the area surrounding abandoned mines [62,63].…”

Section: Discussionmentioning

confidence: 99%

The risk of collapse in abandoned mine sites: the issue of data uncertainty

et al. 2016

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Abstract:Ground collapses over abandoned underground mines constitute a new environmental risk in the world. The high risk associated with subsurface voids, together with lack of knowledge of the geometric and geomechanical features of mining areas, makes abandoned underground mines one of the current challenges for countries with a long mining history. In this study, a stability analysis of Montevecchia marl mine is performed in order to validate a general approach that takes into account the poor local information and the variability of the input data. The collapse risk was evaluated through a numerical approach that, starting with some simplifying assumptions, is able to provide an overview of the collapse probability. The nal results is an easy-accessible-transparent summary graph that shows the collapse probability. This approach may be useful for public administrators called upon to manage this environmental risk. The approach tries to simplify this complex problem in order to achieve a roughly risk assessment, but, since it relies on just a small amount of information, any nal user should be aware that a comprehensive and detailed risk scenario can be generated only through more exhaustive investigations.

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Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

Cited by 313 publications

References 253 publications

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Evaluation concepts to compare observed and simulated deposition areas of mass movements

The risk of collapse in abandoned mine sites: the issue of data uncertainty

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