the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Weekly-scale shoreline monitoring using low-cost UAV photogrammetry: A case study from a highly dynamic beach in Sri Lanka
Abstract. Coastal areas worldwide are experiencing rapid changes due to erosion and sediment movement, yet monitoring these changes frequently remains economically challenging, especially in developing countries. This study presents an affordable approach to track shoreline changes over short time periods using widely available UAV (Unmanned Aerial Vehicle) technology and smartphone-based positioning systems. We monitored Red Beach in Sri Lanka weekly for one month, conducting aerial surveys at both high and low tides to capture how the beach changed day-to-day and throughout tidal cycles. The analysis performed using the digital shoreline analysis system in ArcGIS environment. Our findings revealed that the beach behaves as a complex, compartmentalized system where different sections respond differently to coastal processes. Although the beach showed overall sand accumulation during the study period, statistical analysis confirmed this growth occurred only in specific areas while other sections remained stable. The maximum zone of active change extended well beyond measurement uncertainties, indicating genuine coastal dynamics. Comparing high and low tide shorelines also revealed rapid, short-term shifts in active swash zone. This research demonstrates that affordable UAV-based mapping can effectively detect meaningful coastal changes, offering a practical solution for coastal management in regions with limited financial resources. Future work should explore integrating more accurate positioning devices at reasonable costs and extending monitoring over longer periods to capture seasonal patterns of erosion and accretion.
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RC1: 'Comment on egusphere-2025-6536', Anonymous Referee #1, 03 Feb 2026
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AC1: 'Reply on Referee Comment 1', Menusha hasaranga, 11 Feb 2026
Dear Referee,
Thank you for your constructive and thoughtful review of our manuscript. We appreciate the time you took to highlight the maturity of UAV-based surveys in coastal geomorphology and for pointing toward the excellent work conducted by groups such as the Water Research Laboratory (UNSW) and the Victorian Coastal Monitoring Program.
We agree with your assessment that lightweight UAVs have become a standard tool in many well-resourced coastal regions. However, we would like to offer further context on why we believe this study provides necessary and valuable contributions to the field, particularly within the scope of Earth Surface Dynamics.
- Geographic and Contextual Significance
While UAV protocols are well-established in regions like Australia and Europe, there is a significant data gap in the high-resolution monitoring of tropical, micro-tidal, or monsoon-influenced coastlines in South Asian countries, such as Sri Lanka. Applying standard techniques in different environmental and logistical settings often reveals unique challenges that are not always covered in general technical guides.
- Baseline Establishment for Future Dynamics
You correctly noted that the paper focuses on the utility of the tool rather than furthering beach dynamics theory. Our intent was to establish a validated baseline for a region where high-resolution topographic data has historically been scarce. We believe that before complex Big Data or AI automation can be applied to these coastlines, a peer-reviewed, high-precision methodological framework must be established and localized. This paper serves as that foundational step, enabling the future dynamics studies you mentioned.
- Micro-Temporal Dynamics and Spatial Heterogeneity
Our weekly monitoring revealed statistically significant findings with direct management implications. Results demonstrate that beach-averaged metrics fundamentally misrepresent system behavior in compartmentalized systems. This finding has implications regardless of monitoring technology employed and emphasizes the importance of high-frequency monitoring that emerging affordable technologies now enable.
- Accessibility and Practical Validation
Another goal of this study was to demonstrate the precision achievable with consumer grade UAVs combine with smartphone GPS in a setting where more expensive Enterprise grade UAVs or High- End GNSS is not available. Our accuracy assessment provides a localized validation that supports the expansion of citizen sciences and low-cost monitoring in South Asia.
Proposed Revisions: In the revised manuscript, we intend to:
- Explicitly acknowledge the maturity of these methods in other regions, citing the programs and groups you suggested to better frame our work within the global level.
- Strengthen the discussion section to highlight the specific challenges and findings unique to the Sri Lankan coastal environment.
- Clarify that this study serves as a critical methodological baseline that paves the way for future AI, ML and DL integration and long-term dynamics research in this specific region.
We believe these revisions will clarify our specific contributions to the coastal monitoring literature. We thank the referee for directing us towards more effective framing of our work and for their constructive feedback.
Citation: https://doi.org/10.5194/egusphere-2025-6536-AC1
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AC1: 'Reply on Referee Comment 1', Menusha hasaranga, 11 Feb 2026
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RC2: 'Comment on egusphere-2025-6536', Anonymous Referee #2, 25 Feb 2026
 The paper is of considerable interest and addresses a relevant and timely topic; however, it presents several shortcomings in the way the authors have developed the discussion and conclusions. These sections would benefit from a sharper focus, a stronger connection to the results, and deeper engagement with relevant literature.
Therefore, I recommend the manuscript for publication after major changes. A more detailed version of my review is provided in the attached document.
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AC2: 'Reply on Referee Comment 2', Menusha hasaranga, 27 Feb 2026
Dear Referee,
Thank you sincerely for your thorough and constructive review of our manuscript. We greatly appreciate the time and effort you dedicated to preparing such a detailed report. Your insightful comments and corrections will undoubtedly help us improve the quality and clarity of this paper.
Although the open discussion period has now closed, we wanted to ensure that our gratitude was conveyed. We will carefully address all of your comments and suggestions in our revised manuscript.
Thank you again for your valuable contribution to the review process.
Citation: https://doi.org/10.5194/egusphere-2025-6536-AC2
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AC2: 'Reply on Referee Comment 2', Menusha hasaranga, 27 Feb 2026
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This is a well written paper that undertakes a short UAV-based survey of a beach in Sri Lanka. It aims to test the utility of drone-based surveys for measuring beach change and does not attempt to further the understanding of beach dynamics.
While the study is well set-up and quite logical, there is nothing new presented. Light-weight UAV’s are now a standard technique for measuring morphological change on the coast. In fact, most studies now utilise this technique as its utility and precision have been well established. There has been much work on quality assurance and quality control, comparisons between UAV structure-for-motion and LiDAR surveys, and even those which study the operation of these systems by citizen-scientists. The extensive publication records of groups such as the Water Research Laboratory at the University of New South Wales, or the Victorian Coastal Monitoring Program in southern Australia are good examples. In fact, Turner et al., 2016 is even referenced.
The next-step methodological advance for lightweight drones is big data integration and Ai automation. Coastal researchers are now very familiar with UAV’s. If this study was produced 10 years ago, it would be an advance, but it is simply a repeat of existing work which is now covered in technical guides and student training courses.