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Remote Sensing
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Unconventional Drone-Based Surveying 2nd Edition
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Unconventional Drone-Based Surveying 2nd Edition

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

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1132

Special Issue Editors

Dr. Arianna Pesci

E-Mail Website
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Viale Berti Pichat, 6/2 Creti 12, I-40127 Bologna, Italy
Interests: terrestrial laser scanner; remote sensing; structure from motion photogrammetry; crustal deformation; geodesy ground deformation; time series; volcanology
Special Issues, Collections and Topics in MDPI journals
Dr. Giordano Teza

E-Mail Website
Guest Editor
Department of Physics and Astronomy, Alma Mater Studiorum, University of Bologna, Viale Berti Pichat, 6/2 Creti 12, I-40127 Bologna, Italy
Interests: remote sensing (terrestrial laser scanning and structure-from-motion) and application to landslide monitoring; cultural heritage; preservation and medical imaging; 3D modeling; image processing; thermal imaging; GNSS and applications to crustal kinematics; deep learning and applications to time series analysis and medical imaging
Special Issues, Collections and Topics in MDPI journals
Dr. Massimo Fabris

E-Mail Website
Guest Editor
Department of Civil, Environmental and Architectural Engineering-ICEA, University of Padova, 35122 Padova, Italy
Interests: geomatics; digital aerial photogrammetry; digital surface models; deformations monitoring; 3D surveys; land subsidence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The success of the MDPI Drones Special Issue “Unconventional Drone-Based Surveying” led us to propose a new Special Issue entitled “Unconventional Drone-Based Surveying 2nd Edition”, for which we are pleased to invite you to submit original contributions.

First, we must specify that in this Special Issue, the term "drone" refers to any unmanned object that can be used for surveying, thus encompassing Unmanned Aerial Vehicles (UAVs), Unmanned Surface Vehicles (USVs) (whether a boat or even a terrestrial vehicle), Unmanned Underwater Vehicles (UUVs), and even an element of a system in which two or more of these types of drones, or even of drones different types (e.g., UAVs and USVs), jointly operate.

This Special Issue aims to collect papers addressing all kinds of problems encountered in unconventional drone-based surveying. Given that any type of sensor can be considered, with no limits other than the condition that the operations must be performed safely (including, but not limited to, cameras for Structure-from-Motion photogrammetry (SfM); thermal infrared sensors; multispectral or hyperspectral sensors; compact LiDAR; microphones; and sonars), papers may adopt the aims of

  • providing new methods for data analysis, highlighting their strengths and weaknesses;
  • proposing new applications;
  • proposing new configurations of drones or systems of drones;
  • proposing new guidance systems and/or survey planning which, in compliance with current regulations, confer greater (or also total) autonomy onto the drone;
  • addressing issues related to drone behavior in challenging environments and/or challenging weather conditions;
  • studying the problems inherent in the use of swarms of drones (not necessarily of the same type) to perform a given mission or problems inherent in the use of one or more drones in environments where there are other drones operated by third parties or even completely autonomous drones;
  • other original miscellaneous approaches.

As a rule, only papers concerning the successful application of a technique or methodology in its final version will be published. However, papers devoted to problem analysis that are of interest to researchers and practitioners are also welcome. Contributions describing new methods for fast and low-cost observation and monitoring are particularly encouraged.

Papers concerning any type of new application of interest are welcome under the condition that the research is carried out in an unconventional manner. The areas of interest for these applications can vary from architecture to environmental, atmospheric, volcanic, geological, seismological, civil engineering and agricultural fields. Papers on laboratory experiments will also be considered if they fit the criteria listed above.

You may choose our Joint Special Issue in Drones.

Dr. Arianna Pesci
Dr. Giordano Teza
Dr. Massimo Fabris
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

  • UAV/USV/UUV
  • structure-from-motion
  • LiDAR
  • thermal imaging
  • multispectral/hyperspectral imaging
  • acoustic sensors and sonars
  • autonomous drones for surveying
  • swarms of drones
  • operation in hard environments

Published Papers (2 papers)

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Research

21 pages, 9039 KiB  
Article
Effect of Incidence Angle on Temperature Measurement of Solar Panel with Unmanned Aerial Vehicle-Based Thermal Infrared Camera
by Hyeongil Shin, Kourosh Khoshelham, Kirim Lee, Sejung Jung, Dohoon Kim and Wonhee Lee
Remote Sens. 2024, 16(9), 1607; https://doi.org/10.3390/rs16091607 - 30 Apr 2024
Viewed by 393
Abstract
This study utilizes Thermal Infrared (TIR) imaging technology to detect hotspots in photovoltaic (PV) modules of solar power plants. Unmanned aerial vehicle (UAV)-based TIR imagery is crucial for efficiently analyzing fault detection in solar power plants. This research explores optimal operational parameters for [...] Read more.
This study utilizes Thermal Infrared (TIR) imaging technology to detect hotspots in photovoltaic (PV) modules of solar power plants. Unmanned aerial vehicle (UAV)-based TIR imagery is crucial for efficiently analyzing fault detection in solar power plants. This research explores optimal operational parameters for generating high-quality TIR images using UAV technology. In addition to existing variables such as humidity, emissivity, height, wind speed, irradiance, and ambient temperature, newly considered variables including the angle of incidence between the target object and the thermal infrared camera are analyzed for their impact on TIR images. Based on the solar power plant’s tilt (20°) and the location coordinate data of the hotspot modules, the inner and outer products of the vectors were used to obtain the normal vector and angle of incidence of the solar power plant. It was discovered that the difference between measured TIR temperature data and Land Surface Temperature (LST) data varies with changes in the angle of incidence. The analysis presented in this study was conducted using multiple regression analysis to explore the relationships between dependent and independent variables. The Ordinary Least Squares (OLS) regression model employed was able to explain 63.6% of the variability in the dependent variable. Further, the use of the Condition Number (Cond. No.) and the Variance Inflation Factor (VIF) revealed that the multicollinearity among all variables was below 10, ensuring that the independence among variables was well-preserved while maintaining statistically significant correlations. Furthermore, a positive correlation was observed with the actual measured temperature values, while a negative correlation was observed between the TIR image data values and the angle of incidence. Moreover, it was found that an angle of incidence between 15° and 20° yields the closest similarity to LST temperature data. In conclusion, our research emphasizes the importance of adjusting the angle of incidence to 15–20° to enhance the accuracy of TIR imaging by mitigating overestimated TIR temperature values. Full article
(This article belongs to the Special Issue Unconventional Drone-Based Surveying 2nd Edition)
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23 pages, 12234 KiB  
Article
High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
by Jihao Xin, Xuyang Ge, Yuan Zhang, Xingdong Liang, Hang Li, Linghao Wu, Jiashuo Wei and Xiangxi Bu
Remote Sens. 2024, 16(7), 1197; https://doi.org/10.3390/rs16071197 - 29 Mar 2024
Viewed by 508
Abstract
In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization [...] Read more.
In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization and TDOA measurement. We conducted a detailed analysis of error models in TDOA systems, considering both the time and phase measurement. We utilize the frequency division wireless phase synchronization technique in TDOA systems. Building upon this synchronization scheme, we propose a novel time delay estimation method that relies on phase measurements based on the integer least squares method. The performance of this method is demonstrated through Monte Carlo simulations and outdoor experiments. The standard deviations of synchronization and TDOA measurements in experiments are 1.12 ps and 1.66 ps, respectively. Furthermore, the circular error probable (CEP) accuracy is improved from 0.33%R to 0.02%R, offering support for the practical application of distributed short-baseline high-precision passive location techniques. Full article
(This article belongs to the Special Issue Unconventional Drone-Based Surveying 2nd Edition)
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