Multiplatform and Multisensor Applications for Landslide Characterization and Monitoring
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: 15 March 2025 | Viewed by 288
Special Issue Editors
Interests: landslide modelling; UAV photogrammetry; LIDAR; object-based image analysis; 3D landslide monitoring; risk assessment; machine learning; geospatial classification methods; simulation and modelling
Special Issues, Collections and Topics in MDPI journals
Interests: landslides; GNSS; remote sensing; UAV; monitoring
Interests: landslides; remote sensing; UAV; monitoring; hazard mapping; rainfall thresholds
Interests: landslide monitoring; photomonitoring; interferometry; geological risks; geological hazards; satellite images; machine learning; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, active landslides can be identified and monitored via several imaging platforms, ranging from terrestrial to crewed/uncrewed aerial vehicles or spaceborne satellites. Despite the imaging sensing method adopted, the scientific community has extensive options in terms of image processing algorithms, which have been developed to detect changes and/or derive spatially distributed displacements over time. The vast number of combinations of sensors and platforms, coupled with the significant range of geometric and temporal resolution, can lead to countless applications. Such tools, when integrated with ground truth datasets, increasingly provide new solutions for landslide monitoring and interpretation. Moreover, integrating these high-tech imaging and processing tools with rigorous ground truth datasets has revolutionized the methods via which landslides can be monitored and interpreted. Ground truth data provide a crucial baseline for validating remote sensing observations, ensuring both the precision and reliability of interpretations made using satellite and aerial imagery. The emerging insights gained from these integrated systems not only enhance our understanding of landslide dynamics but also substantially contribute to risk mitigation efforts. By providing early warning signals and facilitating proactive disaster management strategies, such tools are invaluable assets for guarding against the devastation commonly wrought by landslides. In this Special Issue, papers dealing with landslide characterization and monitoring and/or technical papers presenting innovative image processing algorithms applied to ground displacement analysis/observation are welcome. If potential authors wish to discuss any proposal, feel free to get in touch with this Special Issue’s Editorial Team.
Dr. Stratis Karantanellis
Dr. Marco Mulas
Dr. Giuseppe Ciccarese
Prof. Dr. Paolo Mazzanti
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
- landslide detection
- landslide characterization
- landslide monitoring
- data fusion
- remote sensing
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