Landslide Monitoring and Mapping, 3rd Edition

Dear Colleagues,

Landslides are one of the most significant natural hazards in the world today. These events can have direct and indirect impacts on communities and infrastructure, resulting in loss of life and significant socio-economic damage. Understanding and managing these natural and human-made geo-hazards is becoming increasingly important as rapid population growth and urban expansion drive communities into landslide-prone areas. Therefore, it is essential to accurately map landslide-prone areas and assess their current activity levels to predict and mitigate future risk. Several techniques, traditional and cutting-edge, have been developed to address these needs. Today, landslide mapping and monitoring has been revolutionised by recent technological advances, including innovative processing algorithms. In situ instruments can be used to validate new movements, measure the displacement of landslides, and monitor their progress over time, as well as provide information on old landslide-prone areas. The systematic observation of ground movements at the local and national scale and in previously unmonitored areas is now possible using remote sensing technologies. These approaches provide valuable data to inform land use policies and implement effective long-term risk reduction strategies. Decision-makers benefit from the insights gained from landslide monitoring, particularly in civil protection, risk reduction, and disaster response. These insights can be used to guide resource allocation, prioritise interventions, and improve preparedness, thereby reducing the impact of landslides on communities and infrastructure.

This Special Issue encourages submissions that include, but are not limited to, analyses of landslides through the following methods:

• Traditional and ground-truth approaches;
• Remote sensing techniques;
• Combined ground- and satellite-based techniques;
• Innovative computing platforms to manage and process large volumes of data.

Submissions should involve (among other things):

• Mapping of landslides over wide areas;
• Monitoring of land phenomena with traditional instruments and methods;
• Landslide susceptibility, landslide risk, and landslide impact analyses;
• Local- and regional-scale applications for landslide post-event rapid mapping.

Studies on the interactions between landslides and other hazards (triggering, increased probability, and catalysis/impedance) are also welcome.

Dr. Matteo Del Soldato
Guest Editor

Dr. Gabriele Fibbi
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 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. 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.

• landslide
• mapping
• monitoring
• ground-based instruments
• remote sensing