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Combination of LiDAR and UAS Data for Geological and Environmental Applications

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 13703

Special Issue Editors

Dr. Emmanuel Vassilakis

E-Mail Website
Guest Editor
National and Kapodistrian University of Athens, 157 72 Athens, Greece
Interests: airborne and terrestrial LiDAR data interpretation; UAV data acquisition and processing; active tectonics; coastline displacement and high precision geodetic techniques
Special Issues, Collections and Topics in MDPI journals
Dr. George Papathanassiou

E-Mail Website
Guest Editor
Laboratory of Engineering Geology and Hydrogeology, Department of Geology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: engineering geology, liquefactions, UAS, terrestrial LiDAR
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

During the last few years, the rapidly evolving technology of light detection and ranging, as well as the development of state-of-the-art equipment involved in close-range remote sensing, increased the variety of applications for which the LiDAR data played a significant role. The latter are being increasingly used in geology, especially in the fields of geomorphology, natural hazards, structural geology, land use, and coastal management.

These are only a few examples where microtopography information, which is based on point cloud data acquired from LiDAR sensors, is used for in Earth and environmental modelling. Either aiming to represent the Earth’s surface relief, calculating volumes, or conducting multitemporal studies, point clouds prove to be one of the most reliable datasets.

In this Special Issue, we welcome submissions of original manuscripts describing methodologies for various geological/environmental applications and techniques for acquiring, processing, and interpreting data from LiDAR sensors placed on aerial platforms or tripods but also on handheld equipment. Some interesting topics that would be appreciated by potential readers could be, but are not limited to, the following:

  • Accuracies of DSMs;
  • DEM of differences;
  • Slope stability monitoring;
  • Factor of safety.

Dr. Emmanuel Vassilakis
Dr. George Papathanassiou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Terrestrial Laser Scanner
  • point clouds
  • microtopography
  • digital geomorphology
  • 3D representation
  • LiDAR
  • SLAM

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Published Papers (4 papers)

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Research

30 pages, 25207 KiB  
Article
Satellite Imagery for Rapid Detection of Liquefaction Surface Manifestations: The Case Study of Türkiye–Syria 2023 Earthquakes
by Maria Taftsoglou, Sotiris Valkaniotis, George Papathanassiou and Efstratios Karantanellis
Remote Sens. 2023, 15(17), 4190; https://doi.org/10.3390/rs15174190 - 25 Aug 2023
Cited by 23 | Viewed by 7396
Abstract
The 6 February 2023 earthquake doublet (Mw 7.7 and Mw 7.6) that occurred on the East Anatolian Fault Zone (EAFZ) triggered a significant amount of soil liquefaction phenomena in SE Türkiye and NW Syria. The great areal extent of the affected area and [...] Read more.
The 6 February 2023 earthquake doublet (Mw 7.7 and Mw 7.6) that occurred on the East Anatolian Fault Zone (EAFZ) triggered a significant amount of soil liquefaction phenomena in SE Türkiye and NW Syria. The great areal extent of the affected area and the necessity of rapid response led to the adoption and improvement of a workflow for mapping liquefaction phenomena based on remote sensing data. Using satellite imagery, we identified 1850 sites with liquefaction manifestation and lateral spreading deformation. We acquired a thorough map of earthquake-triggered liquefaction based on visual mapping with optical satellite imagery (high and very high-resolution) and the aid of radar satellite imagery and interferometry. The majority of sites are found along meandering sections of river valleys, coastal plains, drained lakes, swamps, and lacustrine basins along the East Anatolian Fault, highlighting once again the influence of geomorphology/surficial geology on the distribution of liquefaction phenomena. A total of 95% of the liquefaction occurrences were mapped within 25 km from the surface trace of the fault, confirming the distance from fault rupture as a more effective tool for predicting the distribution of liquefaction than epicentral distance. Thus, taking into consideration the rapid documentation of these phenomena without the limitations in terms of time, cost, and accessibility of the field investigation techniques, this desktop-based approach can result in a rapid and comprehensive map of liquefaction from a strong earthquake, and can also be used as a future guide for subsequent field investigations for liquefaction hazard mapping. Full article
(This article belongs to the Special Issue Combination of LiDAR and UAS Data for Geological and Environmental Applications)
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20 pages, 10988 KiB  
Article
Smartphone Structure-from-Motion Photogrammetry from a Boat for Coastal Cliff Face Monitoring Compared with Pléiades Tri-Stereoscopic Imagery and Unmanned Aerial System Imagery
by Zoé Bessin, Marion Jaud, Pauline Letortu, Emmanuel Vassilakis, Niki Evelpidou, Stéphane Costa and Christophe Delacourt
Remote Sens. 2023, 15(15), 3824; https://doi.org/10.3390/rs15153824 - 31 Jul 2023
Cited by 5 | Viewed by 1631
Abstract
Many issues arise from the recession of sea cliffs, including threats to coastal communities and infrastructure. The best proxy to study cliff instability processes is the cliff face evolution. Unfortunately, due to its verticality, this proxy is difficult to observe and measure. This [...] Read more.
Many issues arise from the recession of sea cliffs, including threats to coastal communities and infrastructure. The best proxy to study cliff instability processes is the cliff face evolution. Unfortunately, due to its verticality, this proxy is difficult to observe and measure. This study proposed and compared three remote sensing methods based on structure-from-motion (SfM) photogrammetry or stereorestitution: boat-based SfM photogrammetry with smartphones, unmanned aerial system (UAS) or unmanned aerial vehicle (UAV) photogrammetry with centimetric positioning and Pléiades tri-stereo imagery. An inter-comparison showed that the mean distance between the point clouds produced by the different methods was about 2 m. The satellite approach had the advantage of covering greater distances. The SfM photogrammetry approach from a boat allowed for a better reconstruction of the cliff foot (especially in the case of overhangs). However, over long distances, significant geometric distortions affected the method. The UAS with centimetric positioning offered a good compromise, but flight autonomy limited the extent of the monitored area. SfM photogrammetry from a boat can be used as an initial estimate for risk management services following a localized emergency. For long-term monitoring of the coastline and its evolution, satellite photogrammetry is recommended. Full article
(This article belongs to the Special Issue Combination of LiDAR and UAS Data for Geological and Environmental Applications)
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20 pages, 29958 KiB  
Article
Efficiency Study of Combined UAS Photogrammetry and Terrestrial LiDAR in 3D Modeling for Maintenance and Management of Fill Dams
by Joonoh Kang, Daljoo Kim, Chulhee Lee, Jaemo Kang and Donggyou Kim
Remote Sens. 2023, 15(8), 2026; https://doi.org/10.3390/rs15082026 - 11 Apr 2023
Cited by 3 | Viewed by 1874
Abstract
Low-cost unmanned aerial system (UAS) photogrammetry and terrestrial laser scanner (TLS, terrestrial LiDAR) technologies are being used as noncontact measurement methods for collecting unstructured data for the maintenance of construction infrastructure facilities. This study investigated the possibility of settlement, which is a maintenance [...] Read more.
Low-cost unmanned aerial system (UAS) photogrammetry and terrestrial laser scanner (TLS, terrestrial LiDAR) technologies are being used as noncontact measurement methods for collecting unstructured data for the maintenance of construction infrastructure facilities. This study investigated the possibility of settlement, which is a maintenance condition evaluation item for fill-dam bodies, using point clouds based on the UAS (unmanned aerial system) structure from motion (UAS-SfM) and TLS (terrestrial laser scanner) point clouds. Specifically, the Z-axis RMSE of the point cloud improved to 0.012 m and the shape reproducibility rate to 98.53% by complementing the heterogeneous data of the UAS and TLS by combining the two systems with block coordination and ICP algorithms. The maximum settlement height and volume (heaving) of the dam crest and upstream and downstream slopes were derived from the combined UAS/TLS point-cloud-based 3D model. The quantitative values for the settlement of the fill-dam body were derived using the combined 3D model with high accuracy and density. This result verified the possibility of using the combined 3D model for evaluation of the maintenance condition. Full article
(This article belongs to the Special Issue Combination of LiDAR and UAS Data for Geological and Environmental Applications)
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20 pages, 5205 KiB  
Article
Quantification of Pollutants in Mining Ponds Using a Combination of LiDAR and Geochemical Methods—Mining District of Hiendelaencina, Guadalajara (Spain)
by Tomás Martín-Crespo, David Gomez-Ortiz, Vladyslava Pryimak, Silvia Martín-Velázquez, Inmaculada Rodríguez-Santalla, Nikoletta Ropero-Szymañska and Cristina de Ignacio-San José
Remote Sens. 2023, 15(5), 1423; https://doi.org/10.3390/rs15051423 - 3 Mar 2023
Cited by 1 | Viewed by 1855
Abstract
More than twenty years after the last mining operations were completed in the Hiendelaencina Mining District, it is necessary to carry out a geochemical characterisation of the tailings stored in two contiguous mine ponds. Both have significant amounts of quartz, siderite, barite and [...] Read more.
More than twenty years after the last mining operations were completed in the Hiendelaencina Mining District, it is necessary to carry out a geochemical characterisation of the tailings stored in two contiguous mine ponds. Both have significant amounts of quartz, siderite, barite and muscovite and show significant contents of As, Ba, Pb, Sb and Zn. The tailings show alkaline pH and low electrical conductivity values, which support the visual observation that rules out acid drainage into the environment. The comparison of the National Topographic Map of 1954 with LiDAR data from 2014 has allowed estimating the volume of abandoned waste. Based on the volume of slurry and its average density, the total tonnage of pollutants has been estimated at 279 ± 9 t stored in Pond North and 466 ± 11 t stored in Pond South. Although these are significant quantities that pose a risk to the environment and nearby populations, they are lower than those present in other Spanish districts, such as the Iberian Pyrite Belt or Cartagena-La Unión. The combined use of LiDAR data, aerial imagery and geochemical methods has proven to be very useful for the estimation of the volume of pollutants stored in mine ponds. Full article
(This article belongs to the Special Issue Combination of LiDAR and UAS Data for Geological and Environmental Applications)
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