Remote Sensing in Urban Infrastructure and Building Monitoring
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: 27 May 2024 | Viewed by 1002
Special Issue Editors
Interests: structural deformation monitoring; vibration analysis; time series analysis; robust parameter estimation; sensor calibration and data fusion; machine learning
Interests: vision-guided unmanned aerial systems; integration and calibration of ranging and imaging technologies; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth in population, extensive urbanization, a lack of sustainable management plans, and the impacts of climate change have all accelerated the deterioration of urban structures and infrastructure. This includes changes to buildings, bridges, dams, and transportation networks. Detecting such damage in a timely manner is crucial to preventing structural failure and ensuring public safety. However, the widespread distribution of urban infrastructures makes traditional manual periodic inspections and on-site sensor monitoring methods incomplete, inefficient, and expensive. To address these challenges, continuous monitoring and the inspection of urban infrastructures are essential for assessing their condition, planning for repairs and replacement, supporting decision-making processes, and developing long-term development strategies.
In recent years, cutting-edge remote sensing technologies such as satellites, drones and LiDAR sensors, with different spatial and temporal resolutions as well as analytical approaches, have revolutionized data collection and analyses. For instance, the interferometric synthetic aperture radar (InSAR) technique enables large-scale deformation monitoring at reduced costs and with millimetric accuracy. Remote sensing technologies provide an unprecedented level of precision and efficiency in monitoring and assessing the condition of urban infrastructure and structures. This subsequently ensures operational safety, reduces rehabilitation costs, and enables the lifecycle monitoring of such infrastructures.
This Special Issue encourages authors to submit high-quality contributions addressing the current state of the art, ongoing research challenges, recent advances, applications, real-world case studies, and future trends in urban infrastructure and building monitoring based on remote sensing techniques.
Topics of interest include, but are not limited to, the following:
- Structural health monitoring;
- Remote sensing for monitoring urban infrastructures and buildings;
- Deformation monitoring and analysis;
- Structural anomaly detection based on deep learning;
- Multi-source remote sensing data fusion for structural monitoring;
- Structural damage mapping;
- Structural resilience assessment based on damage mapping.
Dr. Mohammad Omidalizarandi
Dr. Mozhdeh Shahbazi
Dr. Mohammad Ali Sharifi
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
- structural health monitoring
- deformation monitoring and analysis
- anomaly detection
- remote sensing
- InSAR time series
- deep learning
- resilience assessment
