The use of UAV remote sensing for observing lava dome emplacement and areas of potential lahar hazards: An example from the 2017–2019 eruption crisis at Mount Agung in Bali

Andaru, Ruli; Rau, Jiann-Yeou; Syahbana, Devy Kamil; Prayoga, Ardy Setya; Purnamasari, Heruningtyas Desi

doi:10.1016/j.jvolgeores.2021.107255

Cited by 13 publications

(20 citation statements)

References 42 publications

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“…The enhanced images become higher contrast when the tile size is set to a larger value as the dynamic range becomes larger [40]. Previous studies describe that the CLAHE algorithm significantly improved visual image quality, increased numbers of tie-points and dense point clouds, and reduced noise [41,42]. The enhanced images were then used to align photos and generate 3D dense point clouds, DSMs, and orthoimages of the sandbank area.…”

Section: Clahe Image Enhancementmentioning

confidence: 99%

Multitemporal UAV Photogrammetry For Sandbank Morphological Change Analysis: Evaluations of Camera Calibration Methods, Co-Registration Strategies, and the Reconstructed DSMs

Andaru

Rau

Chuang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Sandbank morphology is a longshore corridor with fast morphological changes. To analyze its changes, unmanned aerial vehicle (UAV) is the preferred effective and flexible data collection platform, which can collect very high resolution (VHR) images. UAV campaigns along corridor areas require welldistributed ground control points (GCP) and accurate geotagged image positions to avoid misalignment errors of generated digital surface models (DSMs). However, a sandy terrain can make the measurement of GCPs difficult or even impossible. Furthermore, UAVs are often equipped with consumer-grade devices (onboard GNSS and non-metric cameras), which, therefore, cannot provide accurate image positions and lead to geometric distortions of the image network due to inappropriate lens distortion corrections. This paper proposes a strategy to calibrate the used camera and co-register multi-temporal images without the need for accurate geotagged information on the whole datasets and well-distributed GCPs. The proposed strategy includes two improvements. First, we performed semi-on-the-job self-calibration (semi-OTJSC) using UAV images with favor orientations and flight altitudes to pre-calibrate interior orientation parameters (IOPs) and additional lens distortion parameters. This was then followed by another OTJSC of IOPs involving images with accurate geotagged positions. Second, a "transferred aerial-triangulation (Trans-AT)" strategy is proposed to co-register two consecutive UAV datasets through AT procedure similar to GNSS-supported AT within a strip image block (SIB). The experimental results revealed that the proposed method provides the best-fit camera parameters and generates high-accuracy co-registered DSMs. This strategy contributes significantly to multi-temporal camera calibration and co-registration procedures for determining morphological changes in corridor mapping.

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Section: Clahe Image Enhancementmentioning

confidence: 99%

Multitemporal UAV Photogrammetry For Sandbank Morphological Change Analysis: Evaluations of Camera Calibration Methods, Co-Registration Strategies, and the Reconstructed DSMs

Andaru

Rau

Chuang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…This lava extrusionutilized the same fissure crack of the preceding phreatic eruptions. UAV aerial photographs of the early stage of the lava dome (12 August 2021) were adjusted following the method of [10] to obtain an optimum picture of the dome structure. Figure 4 shows that the thallus is radial and darker than the carapace, while the viscous fluid core part of the lava dome cannot be observed using aerial photographs.…”

Section: Growth Phase (25 August 2018 -5 March 2019)mentioning

confidence: 99%

“…(a) Image of the early stage lava dome taken from UAV monitoring on 18 August 2021. (b)Adjusted image of the lava dome following the method of[10] shows the features of the talus and carapace. (c) Sketch of lava dome internal structure consists of core, carapace, and talus modified after[11].…”

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confidence: 99%

Monitoring lava dome extrusion of Merapi Volcano during 2018-2019, using low-cost UAV application

Putra

Harijoko

Santoso³

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Merapi volcano has a well-known eruption type, namely Merapi type, in which an extruded lava dome collapses and is accompanied by pyroclastic density current (PDC). This type of eruption makes morphological monitoring of the lava dome crucial in the hazard mitigation process. After the VEI 4 eruption in 2010, a new lava dome of Merapi appeared on top of the 2010 lava dome in August 2018 and continuously grew. In November 2019, the lava dome started to collapse outward the crater area. We reported the lava dome morphological monitoring using a UAV (Unmanned Aerial Vehicle) photogrammetry conducted from August 2018 to February 2019. This UAV monitoring provides processed aerial photo data in Digital Terrain Model (DTM) and orthophoto with low operating costs and short data acquisition time. The lava domes erupted from the same eruptive canter within this period and grew evenly in all directions. The 2018-2019 Merapi lava dome has basal ratio of 0.183 to 0.290 with height of 11 to 41 m, respectively. Volume changed from 33,623 m3 in August 2018 to 658,075 m3 in February 2019, suggesting growth rate at ~3,500 m3/day. The lava base filled the crater base area (0.21 km2) and started to collapse outward in November 2019.

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“…Volcanic eruptions are hazardous and particularly challenging for ground-data collection or direct observations , and require remote sensing tools for their monitoring and risk assessment. However, applicability of satellite remote sensing in the study of volcanic events remains limited because of the reliance on optimal meteorological conditions and the consequent unavailability of observations for specific dates and locations (Andaru et al, 2021;Bonali et al, 2019), with the exception of those equipped with thermal and radar sensors (e.g. SAR), which can work at night, with cloud cover, etc.…”

Section: Introductionmentioning

confidence: 99%

Unmanned aerial vehicles (UAVs) as a tool for hazard assessment: The 2021 eruption of Cumbre Vieja volcano, La Palma Island (Spain)

Román

Tovar-Sánchez

Roque-Atienza

et al. 2022

Science of The Total Environment

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The use of UAV remote sensing for observing lava dome emplacement and areas of potential lahar hazards: An example from the 2017–2019 eruption crisis at Mount Agung in Bali

Cited by 13 publications

References 42 publications

Multitemporal UAV Photogrammetry For Sandbank Morphological Change Analysis: Evaluations of Camera Calibration Methods, Co-Registration Strategies, and the Reconstructed DSMs

Multitemporal UAV Photogrammetry For Sandbank Morphological Change Analysis: Evaluations of Camera Calibration Methods, Co-Registration Strategies, and the Reconstructed DSMs

Monitoring lava dome extrusion of Merapi Volcano during 2018-2019, using low-cost UAV application

Unmanned aerial vehicles (UAVs) as a tool for hazard assessment: The 2021 eruption of Cumbre Vieja volcano, La Palma Island (Spain)

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