Remote Sensing Methods and Technical Developments in Geohazard Early Warning
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 457
Special Issue Editors
Interests: landslide detection and monitoring; earthquake; deep learning; remote sensing applications
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence in geoscience; micro-image machine learning; genesis of critical metal deposits
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Geohazards cause various forms of casualties and economic losses worldwide every year, posing a serious threat to the sustainable development of human society. Geohazard early warning plays a crucial role in understanding and mitigating the impacts of geological hazards on human society and infrastructure. Over the past decades, the widespread application of remote sensing technology in fields such as geology, geomorphology, and disaster science has provided robust technical support for geohazard monitoring and early warning. Integrating advanced remote sensing technology into geohazard early warning systems can enhance the accuracy and timeliness of disaster risk assessment and provide a scientific basis for effectively reducing disaster risks and strengthening community safety.
This Special Issue aims to explore new methods and technologies in the field of remote sensing, including but not limited to synthetic aperture radar (SAR), LiDAR, optical satellite remote sensing, unmanned aerial vehicle (UAV), and global navigation satellite systems (GNSS), to enhance early warning capabilities for geohazards. We encourage the use of multi-source technical methods and observational data. Submissions are also encouraged to explore the application of remote sensing in conjunction with state-of-the-art techniques in other fields, such as artificial intelligence big data, to improve the efficiency of data processing and analysis. Review papers will also be considered.
The topics for this Special Issue include, but are not limited to, the following:
- Emerging remote sensing technologies, such as hyperspectral imaging, InSAR, and LiDAR, and their potential applications in geohazard early warning;
- Development of advanced remote sensing algorithms to improve the accuracy and reliability of geohazard early warning;
- Integration and fusion of multi-source remote sensing data (e.g., SAR, optical, GNSS, and multispectral) to improve the accuracy and timeliness of geohazard early warning;
- Integration of remote sensing with other geospatial technologies, such as GIS, to designgeohazard early warning systems/platforms;
- Integration of remote sensing with artificial intelligence technologies to improve the efficiency of data processing and analysis.
Dr. Yaning Yi
Prof. Dr. Kunfeng Qiu
Dr. Zhijie Zhang
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
- remote sensing
- satellite data
- natural hazards
- early warning
- disaster risk reduction
- SAR/InSAR
- UAV
- LiDAR
- GNSS
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