Advances in Remote Sensing and Digital Twins for Management of Civil Infrastructure Assets

Dear Colleagues,

In recent years, emerging technologies such as Digital Twins and Artificial Intelligence (AI) have revolutionized the monitoring and management of civil infrastructures. Advances in remote sensing, including Unmanned Aerial Vehicles (UAVs), terrestrial laser scanning (TLS), and other sensing platforms, have resulted in efficient, accurate, and cost-effective alternatives to traditional inspection and maintenance methods. These technologies enable comprehensive monitoring of various civil structures, including bridges, tunnels, and buildings, throughout their lifecycle, encouraging the increased adoption of these methods for effective asset management.

This Special Issue welcomes contributions demonstrating innovative developments in technologies combining remote sensing with AI and Digital Twins for civil infrastructure asset management, as well as case studies highlighting their applications in the 3D modeling, assessment, and management of civil infrastructures across the fabrication, construction, operation, and maintenance phases.

Potential topics for this Special Issue include, but are not limited to, the following remote sensing applications:

• Three-dimensional reconstruction and geometric modeling of civil structures using UAV photogrammetry, TLS, and other sensing technologies.
• Quality inspection and condition assessment of structural elements using remote sensing and Artificial Intelligence.
• Integration of remote sensing with Digital Twins for monitoring and predictive maintenance.
• Advanced structural health monitoring (SHM) leveraging deep learning, computer vision, and image analysis techniques.
• Development and utilization of Building and Bridge Information Models (BIM/BrIM) for infrastructure management.
• Decision-support systems and process tracking for inspection, maintenance, and asset management.
• Virtual Reality (VR) and Augmented Reality (AR) technologies.

Dr. Maria Rashidi
Dr. Masoud Mohammadi
Dr. Linh Truong-Hong
Dr. Vahid Mousavi
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.