Intelligent Landslide Early Warning: From Multi-Source Sensing to AI-Driven Forecasting

Dear Colleagues,

Landslides pose significant risks to infrastructure and communities worldwide, often triggering a cascade of secondary hazards such as landslide-dammed lakes, debris flows, and landslide-induced waves, which can amplify disaster impacts. Understanding their mechanisms and improving early warning systems requires integrating multi-source monitoring technologies, physical model tests, and artificial intelligence, and recent advances in remote sensing, sensor networks, high-performance computing, and AI-driven data analysis have revolutionized landslide and secondary hazard investigations, enabling more accurate predictions and dynamic risk assessments. This Special Issue seeks to showcase cutting-edge research and innovative methodologies in landslide and secondary disaster monitoring, physical and numerical modeling, and AI applications.

We invite contributions on experimental studies, case studies, and novel technological approaches that enhance our understanding of landslide processes and improve hazard mitigation strategies, and we particularly encourage interdisciplinary contributions bridging geosciences, data science, and engineering domains.

Dr. Ting Xiao
Dr. Linwei Li
Guest Editors

Dr. Jizhixian Liu
Guest Editor Assistant

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences 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 1800 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.