Remote Sensing in Engineering Geology
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 45154
Special Issue Editors
Interests: engineering geology; remote sensing; geo-mechanics; natural hazards; landslides; photogrammetry; laser scanning; InSAR; landslide monitoring; landslide numerical analyses
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 approach to the investigation of geological engineering problems has changed dramatically. The advent of new remote sensing sensors and techniques has led to step-change increases in the quality of data available in geosciences and geoengineering. Laser scanning/LiDAR, digital photogrammetry, hyperspectral, and InSAR represent the most used remote sensing techniques in engineering geology and geo-hazard studies. These techniques can be ground-based or, as a result of the high spatial resolution achievable with the newly available sensors, airplanes, drones, and satellite platforms, can be used in the interpretation of geotechnical projects on a large scale.
In this context, this Special Issue invites high-quality and innovative scientific papers that advance the science of remote sensing in geological engineering problems and geo-hazard studies. These will include the analysis and monitoring of landslides and volcanos, the characterization of rock masses and geotechnical sites, ground deformation analyses, and mining applications. Special attention will also be given to the use of GIS and artificial intelligence- and machine learning-based methods for remotely sensed data processing and modeling.
Dr. Mirko FrancioniDr. 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
- Geological engineering
- Remote sensing
- Geo-mechanics
- Geotechnics
- Natural hazards
- Photogrammetry and Laser scanning
- LiDAR
- InSAR
- Landslides
- Ground deformation and monitoring
- Landslide numerical analyses
- Mining
- Geoinformatics
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