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Applied Sciences
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Applications of Digital Photogrammetry and 3D Laser Scanning in Geomatics
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Applications of Digital Photogrammetry and 3D Laser Scanning in Geomatics

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

Deadline for manuscript submissions: 20 October 2025 | Viewed by 2105

Special Issue Editors

Dr. Miguel Angel Maté-González

E-Mail Website
Guest Editor
Departamento de Ingeniería Cartográfica y del Terreno, Universidad de Salamanca, 37008 Salamanca, Spain
Interests: cartographic; geodetic and photogrammetric engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Serafin López-Cuervo Medina

E-Mail Website
Guest Editor
Department of Surveying and Cartography Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: drone inspection; multispectral imaging; laser scanning; photogrammetry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital photogrammetry and 3D laser scanning play pivotal roles in advancing the field of geomatics, offering innovative solutions for mapping, surveying, and modeling the Earth's surface and its underlying elements. This Special Issue explores their applications, shedding light on the transformative impact these technologies have on various domains within geomatics.

In this context, some potential use cases have driven significant advances in areas such as Land Use Planning, Natural Resource Management, Infrastructure Development, Transportation Engineering, Environmental Monitoring, Disaster Management, Archaeological Studies, Mining and Exploration, Precision Agriculture, Geomorphological Studies, Utility Infrastructure Management, Climate Change Research, Cultural Heritage Preservation, Precision Forestry, and Remote Sensing Applications, among others.

This Special Issue aims to explore and highlight these diverse applications, showcasing the transformative potential of digital photogrammetry and 3D laser scanning in advancing the field of geomatics.

The submission of original work highlighting the latest research and technical developments is encouraged. Additionally, review articles and comparative studies are welcomed that contribute to enriching the scientific community's understanding of the impact and possibilities of digital photogrammetry and 3D laser scanning in geomatics.

Dr. Miguel Angel Maté-González
Prof. Dr. Serafín López-Cuervo Medina
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

  • digital photogrammetry
  • 3D laser scanning
  • geomatics
  • mapping
  • surveying
  • earth's surface
  • spatial modeling
  • land use planning
  • environmental monitoring
  • remote sensing applications

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Published Papers (2 papers)

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20 pages, 5341 KiB  
Article
Real-Time DTM Generation with Sequential Estimation and OptD Method
by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki and Andrea Masiero
Appl. Sci. 2025, 15(7), 4068; https://doi.org/10.3390/app15074068 - 7 Apr 2025
Viewed by 207
Abstract
Data acquisition and simultaneous generation of real-time digital terrain models (DTMs) is a demanding task, due to the vast amounts of observations collected by modern technologies and measurement instruments in a short time. Existing methods for generating DTMs with large datasets require significant [...] Read more.
Data acquisition and simultaneous generation of real-time digital terrain models (DTMs) is a demanding task, due to the vast amounts of observations collected by modern technologies and measurement instruments in a short time. Existing methods for generating DTMs with large datasets require significant time and high computing power. Furthermore, these methods often fail to consider fragmentary DTM generation to maintain model continuity by addressing overlaps. Additionally, storing the resulting datasets, generated 3D models, and backup copies consumes excessive memory on computer and server disks. In this study, a novel concept of generating DTMs based on real-time data acquisition using the principles of sequential estimation is proposed. Since DTM generation occurs simultaneously with data acquisition, the proposed algorithm also incorporates data reduction techniques to manage the large dataset. The reduction is achieved using the Optimum Dataset Method (OptD). The effect of the research is the characteristics file that stores information about the DTM. The results demonstrate that the proposed methodology enables the creation of 3D models described by mathematical functions in each sequence and allows for determining the height of any terrain point efficiently. Experimental validation was conducted using airborne LiDAR data. The results demonstrate that data reduction using OptD retains critical terrain features while reducing dataset size by up to 98%, significantly improving computational efficiency. The accuracy of the generated DTM was assessed using root mean square error (RMSE) metrics, with values ranging from 0.041 m to 0.121 m, depending on the reduction level. Additionally, statistical analysis of height differences (ΔZ) between the proposed method and conventional interpolation techniques confirmed the reliability of the new approach. Compared to existing DTM generation methods, the proposed approach offers real-time adaptability, improved accuracy representation per model fragment, and reduced computational overhead. Full article
(This article belongs to the Special Issue Applications of Digital Photogrammetry and 3D Laser Scanning in Geomatics)
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14 pages, 5481 KiB  
Article
The Automatic Algorithm of Optimizing the Position of Structured Light Sensors
by Zhiyuan Zhang, Xiaohong Sun, Xiaonan Yang and Qi Xue
Appl. Sci. 2024, 14(5), 1719; https://doi.org/10.3390/app14051719 - 20 Feb 2024
Viewed by 1256
Abstract
Optical 3D detection technology has a wide range of applications in industrial detection, agricultural production, and so on. Its advantages are non-contact, efficiency, and high precision. However, the specular reflection problem affects model coverage and measurement accuracy. An optimization algorithm for calculating the [...] Read more.
Optical 3D detection technology has a wide range of applications in industrial detection, agricultural production, and so on. Its advantages are non-contact, efficiency, and high precision. However, the specular reflection problem affects model coverage and measurement accuracy. An optimization algorithm for calculating the number and pose of sensors has been proposed to address this issue. First, the specular reflection problem is viewed as a multi-sensor position search problem. Then, an optimization algorithm is used to find the optimal number and bit positions of sensors to avoid specular reflection. The experiment shows that the optimization results of this algorithm can cover the area to be measured with the least number of sensor combinations while avoiding the influence of specular reflection. Full article
(This article belongs to the Special Issue Applications of Digital Photogrammetry and 3D Laser Scanning in Geomatics)
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