Advances in Remote Sensing and Analysis of Slopes and Slope Failures
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 2625
Special Issue Editors
Interests: the characterisation of the subsurface; early warning systems for slope instability
Interests: signal and information processing; NILM; responsible AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technology has been widely used in engineering and geosciences for monitoring and understanding processes related to slopes and slope stability. This includes landslides, rockslides, debris flows, coastal cliffs, etc., but also man-made structures such as dams, embankments, open mines, landfills, etc. The monitoring of larger areas in a short period of time and with higher resolution, as well as producing results in near real time, is becoming increasingly demanding. Climate change and an increase in the occurrence of extreme weather events have placed slopes in a vulnerable position.
There is a wide variety of remote sensing technologies, which have recently seen significant changes in their application. Technologies traditionally used for monitoring of displacements over large areas (due to volcanoes and earthquakes) such as InSAR are now applied to smaller-scale projects, such as ground investigation.
Recently, there has been a significant trend in migrating from traditional analysis approaches to more advanced analysis methods, for example, AI. The volume of data collected continuously increases, as does the need for data storage space and time for analysis. There is a strong trend towards the development of approaches that depend on AI or other advanced signal processing techniques that would minimise the analysis time but also increase the consistency in analysing large quantities of data.
We are seeking contributions from the international research community on the use of remote sensing for monitoring of slopes and slope stability. We are also inviting contributions on novel analysis methodologies that allow for accurate and fast interpretation and even prediction of slope behaviour.
Dr. Stella Pytharouli
Dr. Lina Stankovic
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
- remote sensing
- landslide
- earth observation
- machine learning
