Advances and Innovations in Geomatics: Celebrating a New Chapter—First Impact Factor and CiteScore Received

A special issue of Geomatics (ISSN 2673-7418).

Deadline for manuscript submissions: 15 June 2026 | Viewed by 3964

Special Issue Editors


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Guest Editor
Department of Architecture and Arts, Università Iuav di Venezia, Santa Croce 191, 30135 Veezia, Italy
Interests: geomatics; remote sensing; metric survey techniques for cultural heritage assets; digital representation for cultural heritage assets
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are delighted to announce a milestone achievement for Geomatics—the journal has received its first Impact Factor of 2.8, ranked Q2 in both GEOGRAPHY, PHYSICAL and REMOTE SENSING categories, and first CiteScore of 5.1, ranked Q1 in both Earth and Planetary Sciences (miscellaneous) and Engineering (miscellaneous), a testament to the growing recognition and academic excellence of our publication. This success would not have been possible without the valuable contributions of our authors, reviewers, and editorial board members.

To mark this exciting occasion, we are launching a Special Issue showcasing cutting-edge research and innovative applications in the field of Geomatics. We warmly invite you to submit your high-quality manuscripts to help shape the future of geospatial science and celebrate this important achievement with us.

Topics of Interest Include (but are not limited to):

  • geodesy and gravimetry;
  • technical and thematic cartography production;
  • aerial and close range photogrammetry;
  • topographic survey;
  • satellite-based positioning (GNSS) and navigation;
  • SLAM (Simultaneous Localization and Mapping) and mobile mapping;
  • aerial and terrestrial LiDAR;
  • ground and structures/infrastructures deformation monitoring;
  • hydrography and bathymetry;
  • optical and radar remote sensing techniques, methods and data quality evaluation;
  • odometry;
  • extra-terrestrial geomatics;
  • digital twins;
  • indoor positioning, navigation and mapping;
  • standardization of workflows for acquisition, processing and validation of geographical data and spatial measures;
  • officiality and legal value of spatial information;
  • crowdsourcing/volunteered geographic information and citizen science;
  • frontiers of geomatics applications like human and animal health, epidemiological modelling, risk analysis and spatially based simulation.

Prof. Dr. Enrico Corrado Borgogno Mondino
Dr. Caterina Balletti
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 250 words) can be sent to the Editorial Office for assessment.

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. Geomatics 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 1200 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

  • surveying and mapping
  • positioning and navigation
  • satellite positioning
  • geodesy
  • photogrammetry
  • cartography and cadastral
  • spatial data analysis
  • spatial information science
  • geographic information system

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Published Papers (3 papers)

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Research

32 pages, 1698 KB  
Article
Evaluating the Robustness of PPP and GNSS Reference Frame Solutions Across Scientific and Legacy Commercial Software
by Antonino Maltese, Claudia Pipitone and Gino Dardanelli
Geomatics 2026, 6(3), 40; https://doi.org/10.3390/geomatics6030040 - 25 Apr 2026
Viewed by 130
Abstract
This study evaluates the robustness and time consistency of GNSS coordinate solutions obtained from a suite of scientific and legacy commercial software packages, with the aim of assessing their suitability for rapid preliminary framing of institutional geodetic networks. The analysis includes Pinnacle 1.0, [...] Read more.
This study evaluates the robustness and time consistency of GNSS coordinate solutions obtained from a suite of scientific and legacy commercial software packages, with the aim of assessing their suitability for rapid preliminary framing of institutional geodetic networks. The analysis includes Pinnacle 1.0, Topcon Tools v.8, TGOffice 1.63, Leica Geo Office Combined 7.0, NDA Lite, and the scientific-grade NDA Professional, together with PPP solutions generated through the CSRS service. A one-year dataset from the UNIPA GNSS CORS network was processed to derive monthly coordinate estimates, which were compared in terms of geocentric (ΔXYZ), horizontal (ΔEN), and vertical (ΔUp) deviations, as well as temporal behavior and statistical significance (Welch’s t-test). The results show that NDA Professional provides the most stable and time-consistent solutions, with mean horizontal and vertical dispersions typically below 2–3 mm. Topcon Tools and Pinnacle also exhibit good performance, with average ΔEN values of approximately 3–4 mm and ΔH values generally within 5–7 mm. In contrast, Leica LGO and NDA Lite display larger variability, particularly in the vertical component, where monthly deviations may exceed 10 mm. The CSRS solution, due to its PPP-based intrinsic nature, reveals a statistically significant temporal trend (on the order of 5–8 mm/year), which prevents direct comparison with static network solutions; however, once detrended, its dispersion becomes comparable to the best-performing static software, with ΔEN and ΔUp values of 2–4 mm. Full article
31 pages, 7855 KB  
Article
Benchmarking YOLO and Transformer-Based Detectors for Olive Tree Crown Identification in UAV Imagery
by Muhammed Enes Atik and Mehmet Arkali
Geomatics 2026, 6(2), 22; https://doi.org/10.3390/geomatics6020022 - 27 Feb 2026
Viewed by 1471
Abstract
Olive groves are an important agricultural component in the Mediterranean region that offers various ecological benefits. The olive tree has tremendous cultural and economic value and is cultivated over a wide geographical range. It is essential to actively implement innovative agricultural practices to [...] Read more.
Olive groves are an important agricultural component in the Mediterranean region that offers various ecological benefits. The olive tree has tremendous cultural and economic value and is cultivated over a wide geographical range. It is essential to actively implement innovative agricultural practices to achieve efficient, sustainable olive cultivation. Automatic tree identification in olive groves is an essential tool for applications such as tree health monitoring and yield estimation. Deep learning-based approaches, which have recently gained prominence, hold significant potential for this purpose. However, the large amount of training data required by deep learning methods increases their time and effort costs. Data augmentation methods have been developed to solve this problem. In this study, olive tree detection and segmentation from unmanned aerial vehicle (UAV) images were performed using current You Only Look Once (YOLO) architectures (YOLOv8, YOLOv10, YOLOv11, YOLOv12) and transformer-based object detection algorithms (Real-Time DEtection TRansformer (RT-DETR) and Roboflow-DEtection Transformer (RF-DETR)). Two different datasets, one of which was a new dataset generated within the scope of this study, were used in this study. To investigate the effect of data augmentation on algorithm performance, both the original datasets and the augmented datasets were used. As a result of the study, 0.987 mAP was obtained with YOLOv11n, YOLOv11s, and YOLOv12s on the Olive Tree Detection (OTD) dataset, while 0.884 mAP was obtained with YOLOv8l and YOLOV8x on the Yalova dataset. Full article
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25 pages, 8864 KB  
Article
Collaboration Mechanics with AR/VR for Cadastral Surveys—A Conceptual Implementation for an Urban Ward in Indonesia
by Trias Aditya, Adrian N. Pamungkas, Faishal Ashaari, Walter T. de Vries, Calvin Wijaya and Nicholas G. Setiawan
Geomatics 2025, 5(4), 75; https://doi.org/10.3390/geomatics5040075 - 5 Dec 2025
Viewed by 1257
Abstract
Synchronous interactions from different locations have become a globally accepted modus of interaction since the COVID-19 outbreak. For centuries, professional cadastral survey activities always required an interaction modus whereby surveyors, neighboring landowners, and local officers were present simultaneously. During the systematic adjudication and [...] Read more.
Synchronous interactions from different locations have become a globally accepted modus of interaction since the COVID-19 outbreak. For centuries, professional cadastral survey activities always required an interaction modus whereby surveyors, neighboring landowners, and local officers were present simultaneously. During the systematic adjudication and land registration project in Indonesia, multiple problems in the land information systems emerged, which, up to date, remain unsolved. These include the presence of plots of land without a related title, incorrect demarcations in the field, and the listing of titles without a connection to a land plot. We argue that these problems emerged due to ineffective survey workflows, which draw on inflexible process steps. This research assesses how and how much the use of augmented and virtual reality (AR/VR) technologies can make land registration services more effective and expand collaboration in a synchronous and at distant manner (the so-called same time, different place principle). The tested cadastral survey workflows include the procedure for a first land titling, the one for land subdivision, and the updating and maintenance of the cadastral database. These are common cases that could potentially benefit from integrated uses of augmented and virtual reality applications. Mixed reality technologies using VR glasses are also tested as tools, allowing individuals, surveyors, and government officers to work together synchronously from different places via a web mediation dashboard. The work aims at providing alternatives for safe interactions of field surveyors with decision-making groups in their endeavors to reach fast and effective collaborative decisions on boundaries. Full article
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