Integration of Remote Sensing and Artificial Intelligence for Structural Health Monitoring
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 January 2026 | Viewed by 34
Special Issue Editors
Interests: GNSS precise positioning; deformation monitoring; landslide monitoring and early warning; artificial intelligence
Interests: structural health monitoring; GNSS precise positioning; multi-sensor data fusion; disaster mitigation/monitoring; artificial intelligence
Interests: InSAR; deformation monitoring; loading analysis; earthquake; dam and bridge monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural Health Monitoring (SHM) offers a systematic and predictive approach for the early detection of structural issues, supporting informed maintenance decisions and improving safety and durability. The integration of Remote Sensing (RS) technologies and Artificial Intelligence (AI) is significantly revolutionizing the field of Structural Health Monitoring (SHM) by enabling more efficient, accurate, and scalable assessment of critical infrastructure, such as bridges, dams, buildings, transportation networks, urban pipelines, and other critical assets. This Special Issue aims to bring together cutting-edge research that leverages satellite, UAV, LiDAR, SAR, optical imagery, and other remote sensing data sources in combination with advanced AI techniques—including machine learning, deep learning, and data fusion—to monitor, detect, and predict structural degradation, damage, and failure.
This Special Issue aims to foster collaboration between remote sensing scientists, civil engineers, and AI researchers, and to highlight the transformative potential of this integration for safer, smarter, and more resilient infrastructure systems. We welcome original contributions that explore novel methodologies, real-world applications, and interdisciplinary approaches to SHM using remote sensing and AI.
Dr. Bao Shu
Dr. Xuanyu Qu
Dr. Lei Xie
Dr. Mehdi Maboudi
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
- automated displacement monitoring
- damage detection
- change detection in infrastructure
- spatiotemporal modeling
- predictive maintenance
- big data analytics
- novel monitoring techniques
- multi-source data fusion
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
