In situ measurements of the ice flow motion at Eqip Sermia Glacier using a remotely controlled unmanned aerial vehicle (UAV)

Jouvet, Guillaume; Dongen, Eef van; Lüthi, Martin P.; Vieli, Andreas

doi:10.5194/gi-9-1-2020

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…Jouvet et al used a quadcopter UAV to land on a highly crevassed area of Eqip Sermia Glacier, West Greenland, to measure the displacement of the glacial surface with the aid of an onboard differential GNSS receiver. And it performed traditional UAV photogrammetry over the glacier and processed the resulting orthoimages by template matching in order to cross check the ice motion record with another well-established technique [18]. Hang Li et al proposed a method of using an autonomous flying robot to explore an underground tunnel environment and built a 3D map [19].…”

Section: Detect Changes In Pointmentioning

confidence: 99%

Monitoring Dynamic Deformation of Building Using Unmanned Aerial Vehicle

Yu²,

Chen

et al. 2021

Mathematical Problems in Engineering

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The height irregularity and complexity of steel structures bring difficulties to dynamic deformation monitoring. PDMS (photogrammetric dynamic monitoring system) can obtain the dynamic deformation of the steel structure, but the flexibility of monitoring is limited because the camera station can only be placed on the ground. In this study, UAV (unmanned aerial vehicle) -PDMS is innovatively proposed to be used in monitoring dynamic deformation of steel structures, and it is verified in the steel frame test and Jinan Olympic Sports Center Tennis Stadium test. To solve the problem that the attitude of UAV cannot be strictly maintained in the hovering process, the improved Z-MP (zero-centered motion parallax) method is used, and the monitoring results are compared with the original Z-MP method. The feasibility of UAV-PDMS applied to steel structure deformation monitoring and the feasibility of improving the Z-MP method to reduce UAV hovering error are verified. The monitoring results showed that the steel structures of the Jinan Olympic Sports Center Tennis Stadium were robust, and the deformations were elastic and within the permissible value.

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Section: Detect Changes In Pointmentioning

confidence: 99%

Monitoring Dynamic Deformation of Building Using Unmanned Aerial Vehicle

Yu²,

Chen

et al. 2021

Mathematical Problems in Engineering

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“…As stated in Groos et.al. [27], except few e.g., [28,29], most of the glaciological studies use Commercial off-the-shelf (COTS) UAVs to acquire aerial images in a high spatial resolution e.g., [20,30,31]. The benefit of commercial UAVs is obvious: they are reliable and ready-touse.…”

Section: Introductionmentioning

confidence: 99%

“…The benefit of commercial UAVs is obvious: they are reliable and ready-touse. It is also observed that most of the UAV-based glaciological studies e.g., [21,28,32,33,34] use fixed-wing UAVs rather than rotary-wing UAVs. This is mainly due to the advantages of fixed-wing UAVs in providing better aerodynamics, longer flight duration, cover comparatively larger area per flight and fly higher than rotary-wing [12].…”

Section: Introductionmentioning

confidence: 99%

UAV-Based Survey of Glaciers in Himalayas: Challenges and Recommendations

Ramsankaran

Navinkumar

Dashora

et al. 2021

J Indian Soc Remote Sens

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Unmanned Aerial Vehicle (UAV) based remote sensing (RS) studies in glaciology are mainly focusing on obtaining accurate high-resolution data from UAV images. Studies for identifying and minimising the challenges faced during the UAV-based RS data acquisition survey on inaccessible and harsh terrains of mountain glaciers is limited. This study aims to examine the practical challenges faced during UAV surveys of glaciers and derive strategies to minimize them. To the authors' knowledge, this is the first study that addresses such problems over the Himalayan region. Here, the UAV surveys were conducted using a fixed-wing commercialgrade off-the-shelf UAV (eBee plus, SenseFly) on three glacier sites (East Rathong, Hamtah and Panchinala-A) located in different zones and climate regimes lying within the Indian part of Himalayas. From UAV collected photos, the study was able to generate ultra-high-resolution ortho-mosaicked images and Digital Elevation Models (DEMs) at 0.1m GSD. UAV-derived DEMs was able to achieve vertical (horizontal) accuracy of 0.45 and 0.21 m (0.15 and 0.1 m) with 3 and 6 ground control points (GCPs) for an area of 0.75 km 2 and 1.38 km 2 . Accuracy assessment of UAV DEMs generated with and without GCPs indicate that GCPs are must to obtain decimetre level accurate DEM especially on glaciers with steep-valleyed terrains. The utility of the obtained ultra-high-resolution ortho-mosaicked images was demonstrated by generating glacier surface feature maps. Based on the challenges observed during UAV surveys, the study identifies and recommends best-suited locations on a glacier and its adjacent regions for conducting UAV surveys efficiently in the glaciated terrain of Himalayas and possibly beyond. Recommendations reported in this article shall minimise the challenges faced and involved risks for data acquisition and thus enable UAVs to cover more glaciated area successfully.

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“…The rising number of recent works [34][35][36] highlights the potential of UAVs and low-cost photogrammetry to efficiently monitor small and mid-scale glaciers with high spatial resolution. In fact, UAVs allows for extensively reconstruct glaciers morphology (e.g., with DSMs and orthophotos) with limited in-situ operations and costs [29].…”

Section: Introductionmentioning

confidence: 99%

Mid-Term Monitoring of Glacier’s Variations with UAVs: The Example of the Belvedere Glacier

et al. 2021

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Recently, Unmanned Aerial Vehicles (UAV) have opened up unparalleled opportunities for alpine glacier monitoring, as they allow for reconstructing extensive and high-resolution 3D models. In order to evaluate annual ice flow velocities and volume variations, six yearly measurements were carried out between 2015 and 2020 on the debris-covered Belvedere Glacier (Anzasca Valley, Italian Alps) with low-cost fixed-wing UAVs and quadcopters. Every year, ground control points and check points were measured with GNSS. Images acquired from UAV were processed with Structure-from-Motion and Multi-View Stereo algorithms to build photogrammetric models, orthophotos and digital surface models, with decimetric accuracy. Annual glacier velocities were derived by combining manually-tracked features on orthophotos with GNSS measurements. Velocities ranging between 17 m y−1 and 22 my−1 were found in the central part of the glacier, whereas values between 2 m y−1 and 7 my−1 were found in the accumulation area and at the glacier terminus. Between 2 × 106 m3 and 3.5 × 106m3 of ice volume were lost every year. A pair of intra-year measurements (October 2017–July 2018) highlighted that winter and spring volume reduction was ∼1/4 of the average annual ice loss. The Belvedere monitoring activity proved that decimetric-accurate glacier models can be derived with low-cost UAVs and photogrammetry, limiting in-situ operations. Moreover, UAVs require minimal data acquisition costs and allow for great surveying flexibility, compared to traditional techniques. Information about annual flow velocities and ice volume variations of the Belvedere Glacier may have great value for further understanding glacier dynamics, compute mass balances, or it might be used as input for glacier flow modelling.

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In situ measurements of the ice flow motion at Eqip Sermia Glacier using a remotely controlled unmanned aerial vehicle (UAV)

Cited by 10 publications

References 27 publications

Monitoring Dynamic Deformation of Building Using Unmanned Aerial Vehicle

Monitoring Dynamic Deformation of Building Using Unmanned Aerial Vehicle

UAV-Based Survey of Glaciers in Himalayas: Challenges and Recommendations

Mid-Term Monitoring of Glacier’s Variations with UAVs: The Example of the Belvedere Glacier

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