Geohazard Monitoring Based on Remote Sensing and Artificial Intelligence
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: 31 August 2026 | Viewed by 845
Special Issue Editor
Interests: remote sensing; planetary geology; ore geology; GIS; geomorphology
Special Issue Information
Dear Colleagues,
Geohazards—including landslides, earthquakes, volcanic activity, floods, droughts, wildfires, and coastal erosion—pose increasing threats to human life, critical infrastructure, and natural ecosystems under changing climatic and anthropogenic conditions. Recent advances in satellite-based remote sensing and artificial intelligence (AI) enable comprehensive, large-scale, and near-real-time monitoring of these hazards. This Special Issue focuses on innovative methodologies for geohazard monitoring, assessment, and early warning through the integration of multi-source remote sensing data and AI-driven approaches.
We invite original research articles and review papers employing multi-sensor satellite observations, including optical, thermal, and radar data from the Sentinel and Landsat missions, Synthetic Aperture Radar (SAR) and InSAR time series, as well as complementary LiDAR, UAV, and GNSS measurements. Contributions may address machine learning and deep learning techniques for automated hazard detection, deformation monitoring, change detection, susceptibility mapping, and predictive modelling.
Additional topics of interest include data fusion, spatio-temporal analysis, uncertainty quantification, and the development of operational monitoring frameworks. Case studies at local, regional, and global scales demonstrating practical applications for disaster risk reduction, climate adaptation, and sustainable land management are strongly encouraged. By fostering interdisciplinary research at the interface of remote sensing, geosciences, and artificial intelligence, this Special Issue aims to advance robust and transferable solutions for geohazard monitoring and informed decision-making.
Dr. Marta Ciążela
Guest Editor
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.
Keywords
- geohazard monitoring
- remote sensing
- GIS
- artificial intelligence
- climate-related hazards
- data fusion
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