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Remote Sensing
Special Issues
Advancement of Remote Sensing and UAS in Cartography and Visualisation
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Advancement of Remote Sensing and UAS in Cartography and Visualisation

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

Deadline for manuscript submissions: closed (4 February 2024) | Viewed by 7224

Special Issue Editors

Dr. Apostolos Papakonstantinou

E-Mail Website
Guest Editor
Department of Civil Engineering and Geomatics, School of Engineering and Technology, Cyprus University of Technology, Saripolou 2-8, 3036 Achilleos 1 Building, 3rd Floor, P.O. Box 50329, Lemesos 3603, Cyprus
Interests: cartography; geoinformatics; 3D visualization; UAS in geovisualization; spatiotemporal mapping; AR-VR visualizations
Special Issues, Collections and Topics in MDPI journals
Dr. Athos Agapiou

E-Mail Website
Guest Editor
Department of Civil Engineering and Geomatics, Cyprus University of Technology, Saripolou 2-8, Limassol 3036, Cyprus
Interests: remote sensing for cultural heritage; optical image processing analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Umberto Andriolo

E-Mail Website
Guest Editor
Institute for Systems Engineering and Computers (INESC), University of Coimbra, Coimbra, Portugal
Interests: remote sensing for coastal studies; beach-dune morphodynamics; nearshore hydrodynamics; UAV for marine litter mapping marine geology; environmental hydraulics; coastal engineering; sediments
Special Issues, Collections and Topics in MDPI journals
Dr. Mattia Previtali

E-Mail Website
Guest Editor
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133 Milan, Italy
Interests: image analysis; image matching; multi-view reconstruction; laser scanning; point cloud classification; monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

New technologies in the field of remote sensing that emerged in the 21st century and the advent of Unmanned Aerial Systems in data acquisition changed the mapping process and reshaped visualisation products.

Remote sensing using UAS-miniaturised sensors offers a unique opportunity to measure, analyse, quantify, map, and explore phenomena at high temporal frequencies, high ground resolutions, and different wavelengths.

Undoubtedly, high-resolution remote sensing data contribute significantly to the cartographic and visualisation processes of spatiotemporal geo-information. When applied to UAS-acquired, scale-variant data, new visualisation methods could substantially support the identification and visualisation of new patterns, potential relationships related to the spatiotemporal trends of various phenomena, and the extraction of geo-information. 

This Special Issue on “Advancement of Remote Sensing and UAS in Cartography and Visualisation” specifically aims to address successful remote sensing and/or UAS applications, methodologies, and concepts related to mapping/visualisation in 2D and 3D. 

We welcome innovative and high-quality research articles related to current trends and challenges on multidisciplinary domains, with emphasis on the field of geo-visualisation in 2D and 3D. Comprehensive and systematic literature review articles in the field are also welcome.

Authors are encouraged to submit articles on, but not limited to, the following subjects:

  • UAS in Cartographic 2-3D geovisualisation applications;
  • UAS remote sensing for scale-variant visualisations;
  • Assessment of emerged phenomena using UAS remote sensing;
  • Monitoring and mapping changes;
  • Mapping spatiotemporal phenomena;
  • Visualisation of environmental phenomena using UAS remote sensing;
  • UAS and remote sensing applications in archaeology and cultural heritage;
  • UAS high-resolution remote sensing data in AR/VR visualisations;
  • UAS for coastal geomorphology and beach dune morphodynamics;
  • Visualisation and damage assessment using UAS data;
  • Mapping and quantification of emerging environmental phenomena;
  • UAS data acquisition processes for visualisation applications;
  • Geovisualisation applications in different fields (e.g., environment, geomorphology climate change, hydrology, geology, history, and archaeology);      
  • UAS applications for endangered sites;
  • Trends of UAS for remote sensing applications;
  • Infrastructure monitoring using UAS data;
  • New optical and/or radar sensors for UAV. 

Dr. Apostolos Papakonstantinou
Dr. Athos Agapiou
Dr. Umberto Andriolo
Dr. Mattia Previtali
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

  • UAS remote sensing
  • 2D/3D visualisations
  • very-high-resolution image processing
  • UAS and geoinformation
  • UAS trends
  • drone for coastal studies
  • geovisualisation
  • photogrammetry

Published Papers (3 papers)

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Research

15 pages, 17274 KiB  
Communication
Application of UAS with Remote Sensing Sensors for the Location of Marks in the Archaeological Site of the Europos, Greece
by Dimitris Kaimaris and Dimitris Tsokas
Remote Sens. 2023, 15(15), 3843; https://doi.org/10.3390/rs15153843 - 02 Aug 2023
Viewed by 1260
Abstract
The Archaic Acropolis of Europos (region of Central Macedonia, Greece) is an important archaeological site, which was inhabited since the 7th century BC up to the 4th century AD. In the lowland area, south of the acropolis and a short distance away, archaeologists [...] Read more.
The Archaic Acropolis of Europos (region of Central Macedonia, Greece) is an important archaeological site, which was inhabited since the 7th century BC up to the 4th century AD. In the lowland area, south of the acropolis and a short distance away, archaeologists speculate that the extensive ancient cemetery of the acropolis, which is a result of its long-term habitation, was located there. In an effort to locate marks that will support this view, WingtraOne GEN II, one of today’s leading Uncrewed Aircraft Systems, was used to collect RGB and multispectral images. After the production of the necessary digital surface models and orthophotomosaics, index maps related to the crops were created. The total of the products allowed the visual identification of 123 marks, which are probably attributed to hitherto unknown covered ancient tombs. In addition, marks of unknown covered ditches of long length were found in the plain area, and on the outskirts of the acropolis marks of its possible wall and the base of one of its towers. Full article
(This article belongs to the Special Issue Advancement of Remote Sensing and UAS in Cartography and Visualisation)
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25 pages, 8213 KiB  
Article
VR Multiscale Geovisualization Based on UAS Multitemporal Data: The Case of Geological Monuments
by Ermioni-Eirini Papadopoulou, Apostolos Papakonstantinou, Nikoletta-Anna Kapogianni, Nikolaos Zouros and Nikolaos Soulakellis
Remote Sens. 2022, 14(17), 4259; https://doi.org/10.3390/rs14174259 - 29 Aug 2022
Cited by 2 | Viewed by 1880
Abstract
Technological progress in Virtual Reality (VR) and Unmanned Aerial Systems (UASs) offers great advantages in the field of cartography and particularly in the geovisualization of spatial data. This paper investigates the correlation between UAS flight characteristics for data acquisition and the quality of [...] Read more.
Technological progress in Virtual Reality (VR) and Unmanned Aerial Systems (UASs) offers great advantages in the field of cartography and particularly in the geovisualization of spatial data. This paper investigates the correlation between UAS flight characteristics for data acquisition and the quality of the derived maps and 3D models of geological monuments for VR geovisualization in different scales and timeframes. In this study, we develop a methodology for mapping geoheritage monuments based on different cartographic scales. Each cartographic scale results in diverse orthophotomaps and 3D models. All orthophotomaps and 3D models provide an optimal geovisualization, combining UAS and VR technologies and thus contributing to the multitemporal 3D geovisualization of geological heritage on different cartographic scales. The study area selected was a fossilite ferrous site located in Lesvos Geopark, UNESCO. The study area contains a fossil site surrounding various findings. The three distinct scales that occur are based on the object depicted: (i) the fossilite ferrous site (1:120), (ii) the fossil root system (1:20), and (iii) individual fossils (≥1:10). The methodology followed in the present research consists of three main sections: (a) scale-variant UAS data acquisition, (b) data processing and results (2D–3D maps and models), and (c) 3D geovisualization to VR integration. Each different mapping scale determines the UAS data acquisition parameters (flight pattern, camera orientation and inclination, height of flight) and defines the resolution of the 3D models to be embedded in the VR environment. Due to the intense excavation of the study area, the location was spatiotemporally monitored on the cartographic scale of 1:120. For the continuous monitoring of the study area, four different UASs were also used. Each of them was programmed to fly and acquire images with a constant ground sampling distance (GSD). The data were processed by image-based 3D modeling and computer vision algorithms from which the 3D models and orthophotomaps were created and used in the VR environment. As a result, a VR application visualizing multitemporal data of geoheritage monuments across three cartographic scales was developed. Full article
(This article belongs to the Special Issue Advancement of Remote Sensing and UAS in Cartography and Visualisation)
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18 pages, 2927 KiB  
Article
Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View
by Christoph Weber, Marius Eggert, Jesús Rodrigo-Comino and Thomas Udelhoven
Remote Sens. 2022, 14(7), 1633; https://doi.org/10.3390/rs14071633 - 29 Mar 2022
Cited by 1 | Viewed by 2992
Abstract
Since unmanned aerial vehicles (UAVs) have been established in geoscience as a key and accessible tool, a wide range of applications are currently being developed. However, not only the design of UAVs themselves is vital to carry out an accurate investigation, but also [...] Read more.
Since unmanned aerial vehicles (UAVs) have been established in geoscience as a key and accessible tool, a wide range of applications are currently being developed. However, not only the design of UAVs themselves is vital to carry out an accurate investigation, but also the sensors and the data processing are key parts to be considered. Several publications including accurate sensors are taking part in pioneer research programs, but less is explained about how they were designed. Besides the commonly used sensors such as a camera, one of the most popular ones is radar. The advantages of a radar sensor to perform research in geosciences are the robustness, the ability to consider large distances and velocity measurements. Unfortunately, these sensors are often expensive and there is a lack of methodological papers that explain how to reduce these costs. To fill this gap, this article aims to show how: (i) we used a radar sensor from the automotive field; and (ii) it is possible to reconstruct a three-dimensional scenario with a UAV and a radar sensor. Our methodological approach proposes a total of eleven stages to process the radar data. To verify and validate the process, a real-world scenario reconstruction is presented with a system resolution reaching from two to three times the radar resolution. We conclude that this research will help the scientific community to include the use of radars in their research projects and programs, reducing costs and increasing accuracy. Full article
(This article belongs to the Special Issue Advancement of Remote Sensing and UAS in Cartography and Visualisation)
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