Remote Sensing in Civil and Environmental Engineering
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 22128
Special Issue Editors
2. The Faringdon Centre for Non-Destructive Testing and Remote Sensing, University of West London, Room BY.GF.015, St. Mary’s Rd., Ealing, London W5 5RF, UK
Interests: ground-penetrating radar; signal processing; remote sensing; deflection-based methods; numerical simulations; forestry engineering; airfield and highway pavement engineering; construction materials; civil engineering
Special Issues, Collections and Topics in MDPI journals
Interests: ground-penetrating radar; signal processing; remote sensing; deflection-based assessment methods; non-destructive testing; modeling and simulation; road safety and highway engineering; driving simulation; civil engineering
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; satellite radar; synthetic aperture radar (SAR); interferometric radar; archaeology; earth observation; earth sciences
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Civil engineering structures are assets that are vital to human life in terms of the economy, mobility, the environment, and the development of communities. It is of no doubt that assets should be maintained and cared for as part of a robust, planned monitoring and maintenance programme within the context of the life cycle of structures and their interaction with the environment. It is imperative that any adopted assessment and monitoring methods should be cost-effective, efficient, and fit for purpose. Depending on the infrastructure type and needs, different approaches should be used to generate useful information for long-term sustainability. In this framework, remote sensing technologies have been proven to be instrumental in providing vital information about structures’ performance and behaviour as well as environmental changes. Their applications are numerous and currently include the structural health monitoring of civil infrastructure systems (buildings, bridges, roads, railways, and airfields), the excavation and tunnelling-induced settlements of buildings, preventive archaeology, natural hazards, and hydrology and water resources. On the other hand, the number of remote sensing applications for environmental monitoring and conservation ecology are growing at present and mainly relate to the monitoring of vegetation, biomass, forest carbon, erosive processes, and pollution.
This Special Issue aims to provide a comprehensive overview of state-of-the-art applications and numerical, theoretical, and industrial developments of remote sensing technologies and methods in the civil and environmental engineering areas of science.
The followings are areas of interest and priority for this Special Issue:
- Platforms (ground-borne, space-borne, and air-borne);
- Orbit types (geo-synchronous, sun-synchronous);
- Sensor types and systems (active/passive sensors, framing/scanning systems, multi-spectral imaging/thermal remote sensing/microwave radar sensing systems);
- Advanced image processing (data fusion and integration of multi-sensor data, image segmentation and classification algorithms, feature selection algorithms, change detection and multi-temporal analysis, geographic object-based image analysis);
- Enhanced data analysis and interpretation methods (machine learning and deep learning techniques for time-series analysis and forecasting models of deformations);
- The integration of remote sensing data into GIS;
- Technology and data-driven integration between remote sensing and non-destructive testing methods (e.g., ground penetrating radar, laser scanning, deflection-based methods, infrared thermography);
- The development of fully deployed and prototype remote sensing hardware and software;
- New satellite missions and downstream applications;
- The contribution of remote sensing for the development of new standards, policies and best practices.
Prof. Dr. Fabio Tosti
Prof. Dr. Andrea Benedetto
Dr. Deodato Tapete
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
- civil and environmental engineering
- ground-borne, space-borne, and air-borne remote sensing platforms
- infrastructure monitoring and preventive archaeology
- hydrology and water resources
- natural hazards
- environmental monitoring and conservation ecology
- enhanced image processing, data analysis, and interpretation methods
- remote sensing technology and data-driven integration with NDTs
- remote sensing and GIS
- new satellite missions and downstream applications
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