Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards

Giordan, Daniele; Hayakawa, Yuichi S.; Nex, Francesco; Tarolli, Paolo

doi:10.5194/nhess-18-3085-2018

Cited by 8 publications

(6 citation statements)

References 28 publications

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“…For example, unmanned aerial systems (UASs) and UAS-aided photogrammetry have been used before in applications in coastal areas including surveying topographical changes [29], cliff erosion [30], coastline changes [31], and coastal floods [32][33][34]. In the field of mass movement, previous studies [35,36] have demonstrated that UAS, with the proper processing of data, can provide fairly accurate results [37,38].…”

Section: Introductionmentioning

confidence: 99%

The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development

et al. 2022

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Coastal areas constitute a very dynamic environment, balancing between numerous natural and anthropogenic processes liable to sometimes hazardous geomorphic phenomena. Especially in tectonically active coastal regions and areas of high economic value, slope failures can have significant impacts and therefore need careful and detailed examination. This work uses Unmanned Aerial System (UAS)-aided photogrammetry and Terrestrial Laser Scanning (TLS) in tectonically active segments of the coastal zone of the Ionian Islands in Greece, to explore how their capabilities can help to improve our understanding of the structural integrity of the slopes. Results show that the two approaches are able to extract large numbers of discontinuity facets, in a more practical, rapid and safe way than conventional methods of rock slope stability analysis extending to unreachable yet important parts of the slope. Through this holistic record of the structural condition of the slope the two applications allow the identification of segments that are more prone to instability and failure. In this way, they improve our understanding of the prioritization of interventions aiming to enhance the prevention of slope failures, mitigating the associated risk and improving local development in these high-value locations.

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Section: Introductionmentioning

confidence: 99%

The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development

et al. 2022

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“…The number of useful images was further reduced due to natural factors such as snow cover, cloud cover and cloud shadows. High-resolution remote sensing data were long restricted due to high costs and data volume (Goodchild, 2011;Westoby et al, 2012). Today commercial very high resolution (VHR) optical satellites exist, but tasked acquisitions make them inflexible and very cost intensive, thus limiting research (Butler, 2014;Lucieer et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…However, a flexible, cost-effective alternative to spaceborne optical data is airborne optical images taken by UASs. Freely selectable flight routes and acquisition dates enable avoiding shadows from clouds and topographic obstacles as well as unfavourable weather conditions and summertime snow cover, all of which frequently impair satellite images (Giordan et al, 2018;Lucieer et al, 2014). UAS-based surveys provide accurate very high resolution (a few centimetres) orthoimages and digital elevation models (DEMs) of relatively small areas, suitable for detailed, repeated analyses and geomorphological applications (Westoby et al, 2012;Turner et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria

Hermle

Keuschnig²,

Hartmeyer³

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. While optical remote sensing has demonstrated its capabilities for landslide detection and monitoring, spatial and temporal demands for landslide early warning systems (LEWSs) had not been met until recently. We introduce a novel conceptual approach to structure and quantitatively assess lead time for LEWSs. We analysed “time to warning” as a sequence: (i) time to collect, (ii) time to process and (iii) time to evaluate relevant optical data. The difference between the time to warning and “forecasting window” (i.e. time from hazard becoming predictable until event) is the lead time for reactive measures. We tested digital image correlation (DIC) of best-suited spatiotemporal techniques, i.e. 3 m resolution PlanetScope daily imagery and 0.16 m resolution unmanned aerial system (UAS)-derived orthophotos to reveal fast ground displacement and acceleration of a deep-seated, complex alpine mass movement leading to massive debris flow events. The time to warning for the UAS/PlanetScope totals 31/21 h and is comprised of time to (i) collect – 12/14 h, (ii) process – 17/5 h and (iii) evaluate – 2/2 h, which is well below the forecasting window for recent benchmarks and facilitates a lead time for reactive measures. We show optical remote sensing data can support LEWSs with a sufficiently fast processing time, demonstrating the feasibility of optical sensors for LEWSs.

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“…In the last few decades, the enormous advances in the field of Remote Sensing (RS) techniques have allowed for collecting an impressive quantity of data representing the earth's surface and its changes over time by means of imagery [1] and Laser Scanner (LS) [2,3]. This becomes crucial to detect, according to the employed instruments and achieved resolution, even the most localized event, to monitor environmental changes in time, thus building a constantly updated historical archive and establishing successful prevention and mitigation risk strategies [4][5][6][7]. Therefore, consideration should be given to the prediction, detection, and monitoring of those events most responsible for the hydrogeological risk [8,9], such as landslides [1,4,10,11], floods [6,12,13], active tectonics [14][15][16], and bank erosion phenomena [1,17].…”

Section: Introduction 1the Need Of a High Resolution Dtmmentioning

confidence: 99%

“…In the context of hydrogeological risk assessment and monitoring by means of highresolution DTMs, the major contributions in monitoring and management of natural hazards thanks to the use of Remotely Piloted Aircraft Systems (RPASs) are summed up in [6]. In [3], an exhaustive LiDAR literature review regarding high-resolution topographic analyses is provided, subdividing the contribution into natural and engineered landscapes.…”

Section: Introduction 1the Need Of a High Resolution Dtmmentioning

confidence: 99%

Integrated Laser Scanner Techniques to Produce High-Resolution DTM of Vegetated Territory

et al. 2021

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The paper presents the first part of a research project concerning the creation of 3D terrain models useful to understand landslide movements. Thus, it illustrates the creation process of a multi-source high-resolution Digital Terrain Model (DTM) in very dense vegetated areas obtained by integrating 3D data coming from three sources, starting from long and medium-range Terrestrial Laser Scanner up to a Backpack Indoor Mobile Mapping System. The point clouds are georeferenced by means of RKT GNSS points and automatically filtered using a Cloth Simulation Filter algorithm to separate points belonging to the ground. Those points are interpolated to produce the DTMs which are then mosaicked to obtain a unique multi-resolution DTM that plays a crucial role in the detection and identification of specific geological features otherwise visible. Standard deviation of residuals of the DTM varies from 0.105 m to 0.176 m for Z coordinate, from 0.065 m to 0.300 m for X and from 0.034 m to 0.175 m for Y. The area under investigation belongs to the Municipality of Piuro (SO) and includes both the town and surrounding valley. It was affected by a dramatic landslide in 1618 that destroyed the entire village. Numerous challenges have been faced, caused both by the characteristics of the area and the processed data. The complexity of the case study turns out to be an excellent test bench for the employed technologies, providing the opportunity to precisely identify the needed direction to obtain future promising results.

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Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards

Cited by 8 publications

References 28 publications

The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development

The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development

Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria

Integrated Laser Scanner Techniques to Produce High-Resolution DTM of Vegetated Territory

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