Remote Sensing in Engineering Geology (Third Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 41
Special Issue Editors
Interests: engineering geology; remote sensing; natural hazards; landslides; numerical modelling
Special Issues, Collections and Topics in MDPI journals
Interests: liquefaction susceptibility evaluation at local and regional scales using in-situ measurements and remote sensing observations; estimating liquefaction-induced damage such as lateral spread displacement; active learning to identify data gaps in empirical models; documenting earthquake-induced damages, especially liquefaction, using aerial/satellite images that are sensitive to surficial moisture; transportation geotechnics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the last two decades, the use of remote sensing for the investigation of geological or geotechnical engineering problems has significantly increased. The availability of high spatial and temporal resolution datasets from aerial and satellite platforms, and the use of unmanned aerial vehicles (drones) for data collection has accelerated the adoption of remote sensing in geosciences and geoengineering. The most commonly used remote sensing sensors and techniques include Light Detection and Ranging (LiDAR), Synthetic Aperture Radar (SAR), thermal, hyper-spectral, multi-spectral, and photogrammetry. These remote sensing technologies are being widely used for problems related to ground subsidence, slope monitoring, hydrogeology, site characterization, coastal engineering, erosion, and geo-hazard studies.
In this context, this Special Issue invites high-quality and innovative scientific papers that advance the science of remote sensing in solving problems related to engineering, geology and geoscience. These could include analyzing and monitoring landslides and volcanos, the characterization of rock masses and geotechnical sites, ground deformation analyses, and mining applications. Special consideration will also be given to the use of GIS, big datasets, and artificial intelligence- and machine learning-based methods for remotely sensed data processing and modeling.
Dr. Mirko Francioni
Prof. Dr. Thomas Oommen
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
- engineering geology
- ground subsidence
- landslides monitoring
- hydrogeology
- ground deformation analyses
- coastal engineering
- natural hazards
- remote sensing technologies
Related Special Issues
- Remote Sensing in Engineering Geology in Remote Sensing (9 articles)
- Remote Sensing in Engineering Geology - II in Remote Sensing (9 articles)
