Remote Sensing-Based Structural Health Monitoring and Damage Assessment

Dear Colleagues,

With the rapid development of society and the economy, significant infrastructure such as roads, buildings, high-speed railways, and bridges have been built all over the world. However, the increase in operating time and environmental loads have destabilized the structures, resulting in slow structural damage. Such damage, if not detected in time, can threaten normal structural operations or even cause significant hazards. Therefore, the operational safety of urban infrastructures, as an important practical issue, has attracted increasing attention from multi-disciplinary fields such as public security, earth observation, civil engineering, and so on. However, since the urban infrastructure is widely distributed, the current manual periodic detection and on-site automatic sensor monitoring methods are spatially or temporally incomplete and damage could remain undetected. Thus, there is an urgent need to develop scientific and efficient technical methods to carry out convenient and accurate structural damage monitoring, providing technical support for the timely detection of potential safety hazards and ensuring their safe operation.

Remote sensing technology can quickly obtain large-scale surface information, which outperforms the traditional methods with high measurement accuracy, non-destructiveness, continuous space coverage, and so on. Benefiting from the rapid development of remote sensing techniques (higher resolution, shorter revisit time, more bands and platforms, etc.), research on these techniques has been very active in the past few decades. In this context, this Special Issue of “Remote Sensing-based Structural Damage Mapping” aims to include state-of-the-art studies that discuss the remote sensing techniques available for structural damage mapping and resilience assessment, presenting some of the most relevant research currently underway, highlighting future challenges, and including several case studies.

Topics of interest will include, but are not limited to, the following:

• Structural deformation monitoring and analysis by time-series InSAR;
• Structural damage mapping by Lidar;
• Structural reconstruction by remote sensing;
• Remote sensing data processing;
• Multi-source remote sensing fusion method and application;
• Structural damage identification based on deep learning;
• Structural resilience assessment based on damage mapping.

Dr. Xiaoqiong Qin
Dr. Ling Chang
Dr. Jie Dong
Dr. Xuguo Shi
Prof. Dr. Joan Ramon Casas Rius
Dr. Jónatas Valença
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.