Geohazard Mapping for Community Resilience: Susceptibility, Impact, and Recovery

Dear Colleagues,

Society’s resilience is tested by the impacts of natural or human-induced geohazards, such as earthquakes, landslides, hurricanes, and tornadoes, which represent the ultimate test of nature–human systems interactions. While each of these ‘full-scale’ extreme events is routinely analyzed by controlled physical experiments or numerical simulations, their potential, existing, and long-term impacts on communities are not yet fully understood. Remote-sensing techniques, such as multi-spectral and hyperspectral imaging, LiDAR, and proximate and in situ instrumentation, can provide multi-scale data for regional- and/or community-scale use, allowing a) susceptibility and risk mapping for baseline information for rescue, recovery, and reconstruction; (b) calibration and validation of physical and computational simulation for real geohazards–infrastructure interactions; (c) realistic assessment of the complex post-disaster recovery process of a community under major and cascading effects of geohazards; and (d) robust evaluations of large-scale regional variations in extreme events. Considering climate change, and the associated increase in frequency and intensity of extreme weather events and natural hazards, enhancing our capabilities to adequately perform these tasks is of increasing importance.

This Special Issue focuses on remote sensing, geohazards, disaster resilience, change detection, data processing and machine learning, uncertainty characterization of monitoring information, recovery planning and reconstruction, and the future variation of geohazard frequency and intensity due to climate change. We welcome contributions to advanced and novel remote sensing applications on geohazard mapping, especially within the context of potential, immediate, and long-term impacts on urban and/or rural communities of different scales.

Dr. F. Albert Liu
Dr. Renato Macciotta
Dr. Lu Zhuo
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.