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Applied Sciences
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Geological Mapping: Laser Scanning and Digital Photogrammetry
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Geological Mapping: Laser Scanning and Digital Photogrammetry

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 3085

Special Issue Editors

Dr. Katarína Pukanská

E-Mail Website
Guest Editor
Faculty of Mining, Ecology Process Control and Geotechnologies, Institute of Geodesy, Cartography and GIS, Technical University of Košice, Park Komenskeho 19, 040 01 Košice, Slovakia
Interests: digital photogrammetry; terrestrial and airborne laser scanning; remote sensing; geohazards; geodesy and engineering surveying; mine surveying; caves; structure from motion; remotely piloted aircrafts systems
Dr. Ludovit Kovanic

E-Mail Website
Guest Editor
Faculty of Mining, Ecology, Process Control and Geotechnologies, Institute of Geodesy, Cartography and GIS, Technical University of Košice, Park Komenskeho 19, 040 01 Košice, Slovakia
Interests: geohazards; geodesy; 3D mapping; engineering geodesy; spatial analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Karol Bartoš

E-Mail Website
Guest Editor
Faculty of Mining, Ecology Process Control and Geotechnologies, Institute of Geodesy, Cartography and GIS, Technical University of Košice, Park Komenskeho 19, 040 01 Košice, Slovakia
Interests: digital photogrammetry; terrestrial and airborne laser scanning; remote sensing; UAS; caves; geohazards

Special Issue Information

Dear Colleagues,

Research on the complex morphology, genesis, and changes of geological objects is impossible without highly accurate geodetic measurements, which provide detailed surveys, maps, sections, and spatial models. Progressive noncontact technologies such as digital photogrammetry or laser scanning methods – terrestrial and aerial – create an innovative platform for the research of these objects. This Special Issue focuses on spatial modeling of the surface geomorphology and underground features using modern technologies to obtain information about mineral units and their structure – rock and mineral types, their thickness, lithological deposits, faults, folds, and fractures – and thus interpret information corresponding to their origination over time.

Dr. Katarína Pukanská
Dr. Ludovit Kovanic
Dr. Karol Bartoš
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. Applied Sciences 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 2400 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

  • geomorphology
  • digital photogrammetry
  • terrestrial laser scanning
  • LIDAR
  • point cloud processing
  • DTM
  • surface modeling

Published Papers (2 papers)

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Research

18 pages, 9784 KiB  
Article
Contour Mission Flight Planning of UAV for Photogrammetric in Hillside Areas
by Chia-Sheng Hsieh, Darn-Horng Hsiao and Di-Yi Lin
Appl. Sci. 2023, 13(13), 7666; https://doi.org/10.3390/app13137666 - 28 Jun 2023
Cited by 3 | Viewed by 1159
Abstract
Unmanned Aerial Vehicle (UAV) photogrammetry is an effective method for acquiring terrain information. However, in hillside areas, the terrain is complex, and the altitude varies greatly. The mission flight is planned by using equal altitude; in the actual shooting, the geometry and resolution [...] Read more.
Unmanned Aerial Vehicle (UAV) photogrammetry is an effective method for acquiring terrain information. However, in hillside areas, the terrain is complex, and the altitude varies greatly. The mission flight is planned by using equal altitude; in the actual shooting, the geometry and resolution of the pixel within the same image or between adjacent images will be inconsistent due to the different shooting distances. The number and accuracy of point clouds are affected. We propose a contour mission flight plan method, which involves designing flight plans based on the existing digital elevation model (DEM) and the desired flight altitude. This method for aerial photography is more effective in maintaining a consistent ground shooting distance during image capture. Experiments were conducted using a simulated DEM and the undulating terrain of the Kaohsiung Liugui area in Taiwan to verify the effect of contour mission flight planning in the hillside area. The results show that, due to the significant variation of terrain in the hillside area, the use of a contour mission flight plan for aerial photography can be more consistent with the originally planned altitude but requires more planning and operating time. The minor height difference, higher overlap, and improved accuracy of the results show that contour mission planning can provide a suitable solution for UAVs in hillside areas. Full article
(This article belongs to the Special Issue Geological Mapping: Laser Scanning and Digital Photogrammetry)
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26 pages, 6829 KiB  
Article
Multi-View Analysis of High-Resolution Geomorphic Features in Complex Mountains Based on UAV–LiDAR and SfM–MVS: A Case Study of the Northern Pit Rim Structure of the Mountains of Lufeng, China
by Rui Bi, Shu Gan, Xiping Yuan, Raobo Li, Sha Gao, Min Yang, Weidong Luo and Lin Hu
Appl. Sci. 2023, 13(2), 738; https://doi.org/10.3390/app13020738 - 04 Jan 2023
Cited by 3 | Viewed by 1465
Abstract
Unmanned aerial vehicles (UAVs) and light detection and ranging (LiDAR) can be used to analyze the geomorphic features in complex plateau mountains. Accordingly, a UAV–LiDAR system was adopted in this study to acquire images and lidar point-cloud dataset in the annular structure of [...] Read more.
Unmanned aerial vehicles (UAVs) and light detection and ranging (LiDAR) can be used to analyze the geomorphic features in complex plateau mountains. Accordingly, a UAV–LiDAR system was adopted in this study to acquire images and lidar point-cloud dataset in the annular structure of Lufeng, Yunnan. A three-dimensional (3D) model was constructed based on structure from motion and multi-view stereo (SfM–MVS) in combination with a high-resolution digital elevation model (DEM). Geomorphic identification, measurement, and analysis were conducted using integrated visual interpretation, DEM visualization, and geographic information system (GIS) topographic feature extraction. The results indicated that the 3D geomorphological visualization and mapping were based on DEM, which was employed to identify the dividing lines and ridges that were delineated of the pit rim structure. The high-resolution DEM retained more geomorphic detail information, and the topography and the variation between ridges were analyzed in depth. The catchment and ponding areas were analyzed using accurate morphological parameters through a multi-angle 3D visualization. The slope, aspect, and topographic wetness index (TWI) parameters were analyzed through mathematical statistics to qualitatively and accurately analyze the differences between different ridges. This study highlighted the significance of the UAV–LiDAR high-resolution topographic measurements and the SfM–MVS 3D scene modelling in accurately identifying geomorphological features and conducting refined analysis. An effective framework was established to acquire high-precision topographic datasets and to analyze geomorphological features in complex mountain areas, which was beneficial in deepening the research on numerical simulation analysis of geomorphological features and reveal the process evolution mechanism. Full article
(This article belongs to the Special Issue Geological Mapping: Laser Scanning and Digital Photogrammetry)
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