Numerical Modeling and AI-Driven Remote Sensing for Coastal Geomorphology Monitoring
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: 30 June 2026 | Viewed by 4
Special Issue Editors
Interests: coastal geology; coastal sedimentary processes; coastal geomorphology
Special Issues, Collections and Topics in MDPI journals
Interests: coastal geomorphology; LIDAR application for storm recovery and barrier island evolution; sediment transport modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Coastal zones are dynamic and critically important environments that face unprecedented pressures from climate change, sea-level rise, and human activity. Accurate, frequent, and extensive monitoring of coastal zones is more important now than ever before. The rapid evolution of artificial intelligence, machine learning, and high-resolution sensing platforms is enhancing our capability to provide timely and precise assessments of coastal geomorphology across a diverse range of environments, including beaches, barrier islands, salt marshes, and tidal flats, as well as urbanized shorelines with engineered structures.
This Special Issue aims to compile cutting-edge research and comprehensive reviews that highlight innovative applications and methodological breakthroughs in numerical modeling, artificial intelligence, and remote sensing for monitoring coastal geomorphology. It seeks to showcase how emerging AI technologies and integrated approaches address key challenges in the field. The goal is to provide a state-of-the-art reference that demonstrates the transition from traditional observation to advanced, quantitative analysis, ultimately supporting evidence-based decision-making for coastal resilience and sustainable management.
This Special Issue seeks innovative research that detects, quantifies, or predicts geomorphic changes using cutting-edge remote sensing tools. Topics of interest include, but are not limited to, the following:
- Storm-Induced Change Detection: Evaluating coastal impacts before and after extreme weather events through the utilization of LiDAR, satellite, or aerial data.
- AI-Driven Feature Interpretation: Leveraging machine learning techniques for automated coastal change monitoring, landform classification, and pattern recognition.
- Satellite-Based Shoreline Monitoring: Employing the Digital Shoreline Analysis System (DSAS) and multi-satellite imagery to monitor long-term shoreline dynamics.
- High-Resolution Topography: Utilizing UAV/drone photogrammetry for detailed mapping and fine-scale geomorphic assessment.
We particularly encourage studies that merge remote sensing data with numerical modeling and advanced ground-based measurements to deepen the understanding of coastal processes in response to extreme events and long-term climate influences. Our objective is to curate a collection of state-of-the-art methodologies that augment our capabilities to monitor, model, and manage the evolving dynamics of coastal environments.
Dr. Jun Cheng
Dr. Felix Jose
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 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
- multi-platform remote sensing
- sensor fusion
- LIDAR monitoring
- AI and cloud-based analytics
- shoreline erosion
- coastal resilience
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