Remote Sensing for Geohazards Monitoring: Towards Refined Risk Analysis and Management

Dear Colleagues,

Humans have always striven to predict and understand risk. The ability to make better predictions has offered refined risk analysis and management in diverse contexts (such as weather, flood disaster, geohazards or natural hazards).

In this context, remote sensing is showing high potential to provide valuable information, at various spatial and temporal scales, concerning refined risk analysis and management. The explosive growth and diversity of remote sensing data are strongly contributing to the development of natural hazards research. The combination of unprecedented data sources, increased computational power, and recent advances in data-driven modeling offer exciting new opportunities for expanding our knowledge of risk analysis and management from data.

This Special Issue invites research works in refined risk analysis and management based on remote sensing for geohazards monitoring: (1) extracting knowledge from the remote sensing data deluge for geohazards monitoring, and (2) deriving models that learn much more from data for refined risk analysis and management than traditional data assimilation approaches can. We are inviting submissions including, but not limited to, hazards associated with the following:

• Geohazards monitoring;
• Remote sensing;
• Landslides;
• Susceptibility, hazard, and risk prediction and mapping of regional and/or single disasters;
• Hybrid modeling approach, coupling physical process models with the versatility of data-driven machine learning;
• Data-driven modeling;
• Refined risk analysis and management.

Dr. Faming Huang
Prof. Dr. Jinsong Huang
Prof. Dr. Filippo Catani
Dr. Shuihua Jiang
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 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-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.