Innovations in 3D Terrain Modeling Through Advanced Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 129
Special Issue Editors
Interests: cartography; 3D mapping; geovisualization; UAS mapping
Interests: remote sensing; geology; geoinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: cartography; 3D mapping; coastal mapping; UAS mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue titled “Innovations in 3D Terrain Modeling Through Advanced Remote Sensing” aims to collect scientific articles that examine application fields for terrain mapping, such as coastal morphodynamics, landslide or rockfall risk assessment, detection of geomorphological changes, reconstruction of archaeological sites, environmental monitoring, and detailed mapping of geoheritage, in mountainous and coastal environments.
Recent advances in Remote Sensing, 3D mapping, InSAR systems, Global Navigation Satellite Systems, and Inertial Measurement Systems (GNSS/IMU) have significantly enhanced the ability to capture terrain features with high spatial resolution and geometric accuracy. These developments are increasingly supported by equipment, such as Unmanned Aerial Systems (UASs), high-resolution RGB sensors, multispectral receivers, thermal cameras, and airborne LiDAR. Especially, 3D point clouds constitute a contemporary data format that supports 3D representation, analysis, and interpretation of terrain morphology, as well as complex processes occurring within it. Therefore, there is a need to investigate innovative methodologies for 3D mapping, processing, and analysis of primary data that combine the above techniques and evaluate their effectiveness.
In addition, the development of advanced algorithms, including deep learning approaches such as Convolutional Neural Networks (CNNs), machine learning classification techniques, and automated feature extraction methods, enables the efficient processing, segmentation, and interpretation of large-scale point cloud datasets derived from multi-sensor remote sensing platforms. Such approaches are particularly critical in environmentally sensitive and geomorphologically dynamic areas where accurate 3D representation of the terrain supports monitoring, modeling, and decision-making processes. Key thematic areas of interest include, but are not limited to, the following:
- Integrated terrain mapping using LiDAR, photogrammetry, InSAR, UASs, and Satellite systems;
- Coastal geomorphology and morphodynamic monitoring;
- Landslide detection and terrain instability assessment;
- Archaeological and cultural landscape reconstruction;
- Multiscale terrain modelling and scale-consistent 3D mapping;
- Fusion of multisource remote sensing datasets for terrain analysis;
- Accuracy assessment, uncertainty analysis, and quality evaluation of terrain models;
- Environmental and geomorphological change detection;
- 3D terrain visualization and immersive geovisualization environments;
- Decision-support applications based on integrated 3D terrain representations;
- Artificial intelligence and machine learning methods for terrain modelling, geomorphological analysis, and environmental monitoring;
- Deep learning and computer vision techniques for automated feature extraction, classification, and segmentation from LiDAR point clouds and remote sensing datasets.
Dr. Ermioni Eirini Papadopoulou
Dr. Stratis Karantanellis
Dr. Apostolos Papakonstantinou
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. 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
- 3D mapping
- remote sensing
- 3D modeling
- 3D point cloud
- LiDAR
- UASs
- DEM\DSM
- geospatial data processing
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