Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1345-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-1345-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Beach-face slope dataset for Australia
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Wen Deng
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Mitchell Dean Harley
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Ian Lloyd Turner
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Kristen Dena Marie Splinter
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
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Cited
14 citations as recorded by crossref.
- Challenges and Opportunities in Predicting Future Beach Evolution: A Review of Processes, Remote Sensing, and Modeling Approaches T. Garlan et al. https://doi.org/10.3390/rs17193360
- A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand N. Xu et al. https://doi.org/10.1016/j.jag.2025.104768
- Monitoring and Analysis of South African Shoreline Dynamics Using Satellite Imagery D. Theron & A. Theron https://doi.org/10.1007/s12237-025-01638-6
- Multi-platform shoreline change monitoring in Mid-Central Vietnam using satellite imagery, coastal video, and numerical modeling T. Phuong et al. https://doi.org/10.1080/21664250.2026.2682627
- Shoreline dynamics and beach topography analysis using video beach monitoring and CoastSnap tools at a blue flag beach on India’s east coast B. Gireesh et al. https://doi.org/10.1016/j.rsma.2026.104855
- Integrated Assessment of Coastal Vulnerability in the Bonny Bay: A Combination of Traditional Methods (Simple and AHP) and Machine Learning Approach N. Nourdi et al. https://doi.org/10.1007/s12237-024-01362-7
- Advanced shoreline monitoring for coastal management: integrating surveillance cameras and deep learning N. Cam Van et al. https://doi.org/10.1080/21664250.2025.2560071
- Deriving China’s beach slopes at a national scale: An automated and transferable Fourier-based framework using ICESat-2 data H. Xu et al. https://doi.org/10.1016/j.jag.2026.105158
- A machine learning based estimation method of beach slopes at a national scale: a case study of New Zealand H. Xu et al. https://doi.org/10.1080/10095020.2025.2522142
- Estimating coastal slope of sandy beach from ICESat-2: a case study in Texas Y. Ma et al. https://doi.org/10.1088/1748-9326/acc87d
- Global Coastal Characteristics (GCC): a global dataset of geophysical, hydrodynamic, and socioeconomic coastal indicators P. Athanasiou et al. https://doi.org/10.5194/essd-16-3433-2024
- Regional-Scale Image Segmentation of Sandy Beaches in Southeastern Australia S. Yong et al. https://doi.org/10.3390/rs16183534
- Drone Insights: Unveiling Beach Usage through AI-Powered People Counting C. Herrera et al. https://doi.org/10.3390/drones8100579
- Benchmarking shoreline prediction models over multi-decadal timescales Y. Mao et al. https://doi.org/10.1038/s43247-025-02550-4
14 citations as recorded by crossref.
- Challenges and Opportunities in Predicting Future Beach Evolution: A Review of Processes, Remote Sensing, and Modeling Approaches T. Garlan et al. https://doi.org/10.3390/rs17193360
- A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand N. Xu et al. https://doi.org/10.1016/j.jag.2025.104768
- Monitoring and Analysis of South African Shoreline Dynamics Using Satellite Imagery D. Theron & A. Theron https://doi.org/10.1007/s12237-025-01638-6
- Multi-platform shoreline change monitoring in Mid-Central Vietnam using satellite imagery, coastal video, and numerical modeling T. Phuong et al. https://doi.org/10.1080/21664250.2026.2682627
- Shoreline dynamics and beach topography analysis using video beach monitoring and CoastSnap tools at a blue flag beach on India’s east coast B. Gireesh et al. https://doi.org/10.1016/j.rsma.2026.104855
- Integrated Assessment of Coastal Vulnerability in the Bonny Bay: A Combination of Traditional Methods (Simple and AHP) and Machine Learning Approach N. Nourdi et al. https://doi.org/10.1007/s12237-024-01362-7
- Advanced shoreline monitoring for coastal management: integrating surveillance cameras and deep learning N. Cam Van et al. https://doi.org/10.1080/21664250.2025.2560071
- Deriving China’s beach slopes at a national scale: An automated and transferable Fourier-based framework using ICESat-2 data H. Xu et al. https://doi.org/10.1016/j.jag.2026.105158
- A machine learning based estimation method of beach slopes at a national scale: a case study of New Zealand H. Xu et al. https://doi.org/10.1080/10095020.2025.2522142
- Estimating coastal slope of sandy beach from ICESat-2: a case study in Texas Y. Ma et al. https://doi.org/10.1088/1748-9326/acc87d
- Global Coastal Characteristics (GCC): a global dataset of geophysical, hydrodynamic, and socioeconomic coastal indicators P. Athanasiou et al. https://doi.org/10.5194/essd-16-3433-2024
- Regional-Scale Image Segmentation of Sandy Beaches in Southeastern Australia S. Yong et al. https://doi.org/10.3390/rs16183534
- Drone Insights: Unveiling Beach Usage through AI-Powered People Counting C. Herrera et al. https://doi.org/10.3390/drones8100579
- Benchmarking shoreline prediction models over multi-decadal timescales Y. Mao et al. https://doi.org/10.1038/s43247-025-02550-4
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
Along the world's coastlines, we find sandy beaches that are constantly reshaped by ocean waves and tides. The way the incoming waves interact with the sandy beach is dictated by the slope of the beach face. Yet, despite their importance in coastal sciences, beach-face slope data remain unavailable along most coastlines. Here we use satellite remote sensing to present a new dataset of beach-face slopes for the Australian continent, covering 13 200 km of sandy coast.
Along the world's coastlines, we find sandy beaches that are constantly reshaped by ocean waves...
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