Special Issue "Advance Geospatial Artificial Intelligence for Landslide Modeling, Prediction and Management"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 34396
Interests: sensors; LiDAR; GIS and geospatial technology; geo-hazards; artificial intelligence; soil engineering; marine geology; environmental managements
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: Advanced Geospatial Artificial Intelligence for Forest Modeling, Prediction, Conservation and Management
Special Issue in Sensors: Advances in Sensors and Intelligent Techniques for Natural Hazard Modeling and Management
Special Issue in Sensors: Advances in Sensors, Monitoring, and Intelligence Techniques for Geotechnical Engineering and Geology
Landslides are still one of the most destructive natural hazards worldwide, causing tremendous damage and fatalities each year.
This Special Issue encourages authors to share recent advances in landslide modeling, prediction, and management, with an emphasis on issues addressed by means of advanced geospatial artificial intelligence. This is an emerging scientific multidiscipline that combines innovations in geospatial technology, remote sensing, UAV photogrammetry, advanced artificial intelligence techniques (i.e., deep learning), data mining, hybrid and ensemble techniques, meta-heuristic optimization, and high-performance computing to extract knowledge from geospatial data.
We kindly invite the scientific community to contribute novel and original research to this Special Issue addressing at least one of the following topics:
- Recent advances in geospatial technology, remote sensing, UAV photogrammetry, and machine learning for landslide detection and inventory mapping.
- Recent advances in geospatial artificial intelligence for landslide modeling and prediction.
- Recent advances in temporal prediction for landslides.
- Recent advances in geospatial artificial intelligence for landslide risk management
- Real-world case studies with findings of clear interest to the scientific community.
Finally, authors are encouraged to share codes and data so that their studies are easily reproducible and serve as the seeds for future improvements.
Prof. Dr. Dieu Tien Bui
Assoc. Prof. Dr. Endre Før Gjermundsen
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. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly 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 1400 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.
- geospatial technology
- artificial intelligence
- remote sensing
- hybrid and ensemble