Photogrammetry and LiDAR Techniques for Earth’s Surface Deformation

Dear Colleagues,

Photogrammetry and LiDAR techniques have been widely used in geosciences for monitoring the Earth's surface deformation caused by natural and anthropogenic hazards. In recent years, there has been a significant increase in research focused on developing new methods, algorithms and tools to improve the accuracy and efficiency of these techniques. Researchers across the globe have contributed to this field by investigating various applications of photogrammetry and LiDAR for measuring terrain and landscape changes (terrain instability, erosion, geoheritage at risk, etc.) as well as assessing the impact of geohazards, i.e., floods, landslides, earthquakes and volcanic eruptions.

This Special Issue will cover topics such as novel photogrammetric and LiDAR techniques for detecting and measuring ground surface deformation, integration of photogrammetry and LiDAR data for improved accuracy and resolution, machine learning and artificial intelligence approaches for analyzing large datasets, applications of photogrammetric and LiDAR techniques in geohazards, engineering, environmental science, geoheritage and case studies of successful implementation of these techniques in real-world scenarios.

Topics of interest include, but are not limited to:

• Novel photogrammetric and LiDAR techniques for detecting and measuring Earth’s surface deformation.
• Integration of photogrammetry and LiDAR data for improved accuracy and resolution.
• Machine learning and artificial intelligence approaches for analyzing large datasets.
• Applications of photogrammetric and LiDAR techniques in geohazards, engineering, geoheritage and environmental science.
• Case studies of successful implementation of these techniques in real-world scenarios.

We welcome original research articles, reviews and perspectives that address these topics and contribute to our understanding of surface deformation. By bringing together experts in this field, this Special Issue will facilitate knowledge exchange and collaboration, ultimately leading to further advancements in photogrammetry and LiDAR techniques for surface deformation analysis.

Prof. Dr. Javier Cardenal Escarcena
Prof. Dr. Jorge Delgado García
Prof. Dr. Tomás Fernández
Prof. Dr. José L. Pérez-García
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.

• photogrammetry and LiDAR for earth’s surface deformation
• integration and data fusion
• machine learning (ML) and artificial intelligence (AI)
• geohazards
• engineering
• geoheritage
• environmental science