Multimodal Remote Sensing and Artificial Intelligence Technologies for Disaster Prevention and Mitigation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 2446
Special Issue Editors
Interests: remote sensing; artificial intelligence; big earth data; disaster emergency monitoring; risk assessment
Interests: hydrogeological mapping and GIS-based mapping for water resources; soil erosion and land degradation; geomorphology
Special Issues, Collections and Topics in MDPI journals
Interests: radiometric calibration for remote sensing facility; remote sensing image processing; remote sensing information extraction based on deep learning
Interests: disaster monitoring; satellite image; disaster assessment; GIS
Interests: geo-informatics; remote sensing
Interests: landslide; geological mapping; watershed hydrology; geomorphological hazard; flood hazard; hydrogeological hazard; soil erosion; hydrologic and hydraulic modelling; GIS analysis and mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, with the development of high-speed industrialization, urbanization and globalization, the external environment and conditions of human life have significantly changed. Extreme meteorological events have led to prominent disaster risks, such as major floods, forest and grassland fires, droughts, and storm surges. In addition, production safety accidents are still in a period of frequent occurrence. Various hidden dangers and safety risks are intertwined and prone to occur, forming a complex and diverse disaster chain and accident chain, and the factors that affect public safety are increasing. At present, the global space infrastructure has entered a new stage of systematic development and globalization of services, and satellite remote sensing is developing into global observation and multi-satellite network observation, forming a three-dimensional, multi-dimensional, integrated global observation capability combining high, medium and low resolution. With the application of new technologies such as artificial intelligence, remote sensing has become an important means for countries around the world to carry out risk monitoring and early warning and enhance disaster risk reduction capabilities, bringing new opportunities to comprehensively improve society's natural disaster prevention and control capabilities.
This Special Issue calls for articles that deal with innovative approaches to disaster emergency monitoring, risk assessment and predictive early warning using multimodal remote sensing (multispectral, hyperspectral, radar and thermal infrared) and artificial intelligence techniques or related case studies. The disasters can cover a wider range of areas from natural hazards (earthquakes, landslides, mudslides, floods, fires, droughts and storm surges) to production safety accidents (mining accidents, hazardous chemical explosions and fires). Hence, submissions that focus on how multimodal remote sensing, artificial intelligence and other technological approaches can be effectively applied and assist in decision-making for the different stages of disaster prevention and mitigation, among other issues, are welcome.
Dr. Futao Wang
Dr. Marco Materazzi
Dr. Zhengchao Chen
Dr. Ming Liu
Dr. Muhammad Hasan Ali Baig
Dr. Margherita Bufalini
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 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. 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.
Keywords
- disaster monitoring
- natural hazards
- multimodal remote sensing
- artificial intelligence
- risk assessment
- disaster risks
- soil erosion
- landslides
- big earth data
- GIS
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