Multi-Hazard Risk Assessment Based on Multi-Source Intelligent Sensing Approaches

Dear Colleagues,

Multi-hazards refer to all hazards with potential interrelated effects, which may occur simultaneously, cascadingly or cumulatively over time in a specific area. Comprising natural and human-made hazards, multi-hazards include earthquakes, landslides, floods, drought, volcanic eruptions, environmental contamination, etc. Over recent years, multi-hazards have posed a great threat to human communities and natural environments worldwide. To tackle this issue, it is of great importance to conduct multi-hazard risk assessment to enhance our understanding of hazards, exposure, vulnerability and risk, which allows more effective risk mitigation practices and policymaking. Remote-sensing data have played a vital role in the risk assessment of natural and human-made hazards in recent decades. Furthermore, with the progress of aerospace technology, mobile communication technology, computer technology as well as sensors and the Internet of Things, intelligent interpretation and analysis of remote-sensing data has become a future development trend. Multi-source, remotely sensed platforms such as satellite, UAV, and ground-based sensors obtain big data of geographic information. These data can be then exploited using artificial intelligence technology in many aspects, such as data precision improvement, data spatio-temporal processing and analysis, surface feature classification and identification, and data association mining. Multi-hazard risk assessment based on multi-source, intelligent sensing approaches have gradually become an indispensable information service product for decision making.

This Special Issue is calling for original and innovative studies that concern hazard risk assessment, especially multi-hazard risk assessment, using multi-source remote-sensing data from all platforms and processed by intelligent approaches. We also welcome contributions showing the recent progress in remote-sensing techniques and various case studies, as well as the challenges and difficulties that we are facing in this field.

Potential topics include, but are not limited to, the following:

Risk Assessment: Hazards’ evolution and interrelationship; exposure; vulnerability assessment; and risk calculation and mitigation.

Remote-sensing techniques: Application of InSAR, Multi-DEMs and Hyperspectral; remote-sensing data access and processing using intelligent algorithms; and surface feature classification and identification.

Resilience: Conceptual understanding and multi-disciplinary perspectives; resilience assessment; resilience improvement using intelligent sensing approaches; and escape strategies and simulation for people at risk.

Prof. Dr. Shuai Zhang
Prof. Dr. Jinmu Choi
Guest Editors

Manuscript Submission Information

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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.

• risk assessment
• hazard mitigation
• multi-hazards
• remote sensing
• decision making
• resilience
• natural and human-made hazards