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Aerial and Drone LiDAR Data for Geomorphological Mapping, Landform Extraction...
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Aerial and Drone LiDAR Data for Geomorphological Mapping, Landform Extraction and Landscape Evolution

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 2956

Special Issue Editors

Dr. Dario Gioia

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Guest Editor
Consiglio Nazionale delle Ricerche—Istituto di Scienze del Patrimonio Culturale (ISPC), Tito Scalo, Potenza, Italy
Interests: tectonic geomorphology; landscape evolution; drainage network morphometry; geomorphological mapping; sediment yield; landslide analysis; geoarchaeology
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Dr. Nicodemo Abate

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Guest Editor
Consiglio Nazionale delle Ricerche—Istituto di Scienze del Patrimonio Culturale (ISPC), Tito Scalo, Potenza, Italy
Interests: cultural heritage; museum studies; museum exhibition; cultural studies; arts and humanities; ancient history; art; visual culture; excavation
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Dr. Giuseppe Corrado

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Guest Editor
Dipartimento delle Culture Europee e del Mediterraneo (DiCEM), Università della Basilicata, Matera, Italy
Interests: geological mapping; tectonics; quaternary geology; sedimentology; coastal geomorphology; neotectonics; quaternary; coastal processes
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Dr. Antonio Minervino Amodio

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Guest Editor
Consiglio Nazionale delle Ricerche—Istituto di Scienze del Patrimonio Culturale (ISPC), Tito Scalo, Potenza, Italy
Interests: spatial analysis; satellite image analysis; mapping; environment; geoinformation; geomatics; geo-processing; land use modelling; topography; photogrammetry
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Prof. Marcello Schiattarella

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Guest Editor
Dipartimento delle Culture Europee e del Mediterraneo (DiCEM), Università della Basilicata, Matera, Italy
Interests: tectonics; geology; geomorphology; tectonic geomorphology; quaternary geology; neotectonics; active tectonics; coastal geomorphology; physical geography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, the increased availability of ultra-high resolution LIDAR data has favored the spreading of different applications in the field of the quantitative landscape analyses. Such data strongly support traditional geomorphological methods of delineating geomorphological elements and types and rates of surface processes. The aim of this Special Issue is to collect multidisciplinary contributions on the use of airborne and drone LIDAR data to identify geomorphological features and processes, and solve issues of landscape evolution.

We encourage researchers to submit papers dealing with the multitemporal analysis of LIDAR DEMs aimed at the detailed reconstruction of short- and long-term topographic changes. Other relevant topics for this research proposal include the analysis of LIDAR-derived data for geomorphological mapping purposes, modeling of short- and long-term estimation of topographic changes and geomorphological processes in different climate contexts and at different spatial and temporal scales, and quantitative characterization of geomorphological processes and landform changes. Contributions on the high potential of LIDAR surveys for application in the field of landscape archaeology or the identification of small-scale landforms of archaeological significance are also welcomed.

Dr. Dario Gioia
Dr. Nicodemo Abate
Dr. Giuseppe Corrado
Dr. Antonio Minervino Amodio
Prof. Marcello Schiattarella
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. Drones is an international peer-reviewed open access monthly 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 2600 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

  • UAV LiDAR
  • geomatics
  • geomorphological mapping
  • object-based landform extraction
  • DEM of difference (Dod)
  • short-term geomorphological evolution
  • landscape evolution model (LEM)

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Published Papers (2 papers)

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Research

25 pages, 44542 KiB  
Article
Evolution of Secondary Periglacial Environment Induced by Thawing Permafrost near China–Russia Crude Oil Pipeline Based on Airborne LiDAR, Geophysics, and Field Observation
by Kai Gao, Guoyu Li, Fei Wang, Yapeng Cao, Dun Chen, Qingsong Du, Mingtang Chai, Alexander Fedorov, Juncen Lin, Yunhu Shang, Shuai Huang, Xiaochen Wu, Luyao Bai, Yan Zhang, Liyun Tang, Hailiang Jia, Miao Wang and Xu Wang
Drones 2024, 8(8), 360; https://doi.org/10.3390/drones8080360 - 30 Jul 2024
Viewed by 962
Abstract
The China–Russia crude oil pipeline (CRCOP) operates at a temperature that continuously thaws the surrounding permafrost, leading to secondary periglacial phenomena along the route. However, the evolution and formation mechanisms of these phenomena are still largely unknown. We used multi-temporal airborne light detection [...] Read more.
The China–Russia crude oil pipeline (CRCOP) operates at a temperature that continuously thaws the surrounding permafrost, leading to secondary periglacial phenomena along the route. However, the evolution and formation mechanisms of these phenomena are still largely unknown. We used multi-temporal airborne light detection and ranging (LiDAR), geophysical, and field observation data to quantify the scale of ponding and icing, capture their dynamic development process, and reveal their development mechanisms. The results show that the average depth of ponding within 5 m on both sides of the pipeline was about 31 cm. The volumes of three icings (A–C) above the pipeline were 133 m3, 440 m3, and 186 m3, respectively. Icing development can be divided into six stages: pipe trench settlement, water accumulation in the pipe trench, ponding pressure caused by water surface freezing, the formation of ice cracks, water overflow, and icing. This study revealed the advantages of airborne LiDAR in monitoring the evolution of periglacial phenomena and provided a new insight on the development mechanisms of the phenomena by combining LiDAR with geophysics and field observation. The results of our study are of great significance for developing disaster countermeasures and ensuring the safe operation of buried pipelines. Full article
(This article belongs to the Special Issue Aerial and Drone LiDAR Data for Geomorphological Mapping, Landform Extraction and Landscape Evolution)
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26 pages, 23380 KiB  
Article
Monitoring Change and Recovery of an Embayed Beach in Response to Typhoon Storms Using UAV LiDAR
by Qiujia Lei, Xinkai Wang, Yifei Liu, Junli Guo, Tinglu Cai and Xiaoming Xia
Drones 2024, 8(5), 172; https://doi.org/10.3390/drones8050172 - 27 Apr 2024
Cited by 1 | Viewed by 1197
Abstract
The monitoring of beach topographical changes and recovery processes under typhoon storm influence has primarily relied on traditional techniques that lack high spatial resolution. Therefore, we used an unmanned aerial vehicle light detection and ranging (UAV LiDAR) system to obtain the four time [...] Read more.
The monitoring of beach topographical changes and recovery processes under typhoon storm influence has primarily relied on traditional techniques that lack high spatial resolution. Therefore, we used an unmanned aerial vehicle light detection and ranging (UAV LiDAR) system to obtain the four time periods of topographic data from Tantou Beach, a sandy beach in Xiangshan County, Zhejiang Province, China, to explore beach topography and geomorphology in response to typhoon events. The UAV LiDAR data in four survey periods showed an overall vertical accuracy of approximately 5 cm. Based on the evaluated four time periods of the UAV LiDAR data, we created four corresponding DEMs for the beach. We calculated the DEM of difference (Dod), which showed that the erosion and siltation on Tantou Beach over different temporal scales had a significant alongshore zonal feature with a broad change range. The tidal level significantly impacted beach erosion and siltation changes. However, the storm surge did not affect the beach area above the spring high-tide level. After storms, siltation occurred above the spring high-tide zone. This study reveals the advantage of UAV LiDAR in monitoring beach changes and provides novel insights into the impacts of typhoon storms on coastal topographic and geomorphological change and recovery processes. Full article
(This article belongs to the Special Issue Aerial and Drone LiDAR Data for Geomorphological Mapping, Landform Extraction and Landscape Evolution)
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