Geological Hazard Monitoring, Identify, Predict, and Risk Assessment Using Geographic Information Science and Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing for Geospatial Science".
Deadline for manuscript submissions: 25 July 2025 | Viewed by 491
Special Issue Editors
Interests: debris flow; hazard monitoring; hazard identification; hazard prediction
Interests: InSAR; emergency and automated monitoring; earthquake; natural disaster chain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Geological hazards, such as earthquakes, landslides, debris flows, ice lake collapses, and land subsidence, pose serious threats to human life, property, and the environment. With the advancement of technology, geographic information science (GIS) and remote sensing (RS) technology are playing increasingly important roles in geological hazard risk management. This Special Issue will delve into the use of GIS and remote sensing technology for the monitoring, identification, prediction, and assessment of geological hazards.
The main topics include the extraction, monitoring, and identification of geological hazard features based on remote sensing imagery, the application of GIS in geological hazard risk assessment, the construction and optimization of geological hazard prediction models, and advancements in multi-source data fusion technology.
By compiling the latest research findings and application cases, this Special Issue aims to provide a scientific basis and technical support for geological hazard prevention and control, thereby enhancing disaster warning and emergency response capabilities and reducing the losses caused by geological hazards.
The extraction, monitoring, and identification of geological hazard features based on remote sensing imagery;
The application of GIS in geological hazard risk assessment;
The construction and optimization of geological hazard prediction models;
Advancements in multi-source data fusion technology.
Dr. Yan Zhao
Dr. Yongsheng Li
Dr. Yi Zhang
Guest Editors
Manuscript Submission Information
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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
- geological hazards
- GIS and remote sensing technology
- risk management
- hazard monitoring
- hazard identification and prediction
- multi-source data fusion
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