Remote Sensing Applications Along the Dead Sea Fault: From the Red Sea to Anatolia
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 1 December 2025 | Viewed by 7610
Special Issue Editors
Interests: radar remote sensing; GIS; geomorphology; tectonics; ground deformations
Interests: hydrogeophysics; remote sensing; photogrammetry; nat. hazards; numerical modelling; soil; subsidence; karst
Special Issues, Collections and Topics in MDPI journals
Interests: InSAR; earth surface deformation; volcanoes; earthquakes; sinkholes and subsidence
Interests: hydrogeology; hydrochemistry; submarine groundwater discharge; thermal remote sensing
Special Issue Information
Dear Colleagues,
The Dead Sea Fault (DSF) is a major left-lateral transform fault system extending from the northern Red Sea through the Dead Sea Basin to southeastern Turkey, forming a complex tectonic boundary between the African and Arabian plates. This Special Issue invites contributions that explore the structure, dynamics, surface processes, hazards, and environmental impacts along the entire length of the DSF using remote sensing technologies.
We welcome original research articles, reviews, and case studies that apply optical, radar, thermal, LiDAR, InSAR, GNSS, UAV, and other Earth observation techniques to topics such as the following:
- Active tectonics, fault kinematics, and deformation monitoring;
- Sinkholes, landslides, and other natural hazards;
- Hydrogeological and geomorphological processes;
- Land use change, urbanization, and climate-related impacts;
- Long-term time series analyses and innovative processing methods.
Dr. Damien Closson
Prof. Dr. Djamil Al-Halbouni
Dr. Gidon Baer
Dr. Christian Siebert
Dr. Jorge Sevil
Guest Editors
Manuscript Submission Information
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Keywords
- Dead Sea Fault
- earth surface deformation
- submarine groundwater discharge
- multispectral analysis
- InSAR
- photogrammetry
- machine-learning-based remote sensing analysis
- vegetation patterns
- land use
- geomorphology
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