Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1499-2022
https://doi.org/10.5194/gmd-15-1499-2022
Model description paper
 | 
21 Feb 2022
Model description paper |  | 21 Feb 2022

CliffDelineaTool v1.2.0: an algorithm for identifying coastal cliff base and top positions

Zuzanna M. Swirad and Adam P. Young

Related authors

Distribution of landfast, drift and glacier ice in Hornsund, Svalbard
Zuzanna M. Swirad, A. Malin Johansson, and Eirik Malnes
EGUsphere, https://doi.org/10.5194/egusphere-2025-3859,https://doi.org/10.5194/egusphere-2025-3859, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Extent, duration and timing of the sea ice cover in Hornsund, Svalbard, from 2014–2023
Zuzanna M. Swirad, A. Malin Johansson, and Eirik Malnes
The Cryosphere, 18, 895–910, https://doi.org/10.5194/tc-18-895-2024,https://doi.org/10.5194/tc-18-895-2024, 2024
Short summary
Wind wave and water level dataset for Hornsund, Svalbard (2013–2021)
Zuzanna M. Swirad, Mateusz Moskalik, and Agnieszka Herman
Earth Syst. Sci. Data, 15, 2623–2633, https://doi.org/10.5194/essd-15-2623-2023,https://doi.org/10.5194/essd-15-2623-2023, 2023
Short summary

Cited articles

Alessio, P. and Keller, E. A.: Short-term patterns and processes of coastal cliff erosion in Santa Barbara, California, Geomorphology, 353, 106994, https://doi.org/10.1016/j.geomorph.2019.106994, 2020. 
Brooks, S. M., Spencer, T., and Boreham, S.: Deriving mechanisms and thresholds for cliff retreat in soft-rock cliffs under changing climates: Rapidly retreating cliffs of the Suffolk coast, UK, Geomorphology, 153–154, 48–60, https://doi.org/10.1016/j.geomorph.2012.02.007, 2012. 
Dornbusch, U., Robinson, D. A., Moses, C. A., and Williams, R. B. G.: Temporal and spatial variations of chalk cliff retreat in East Sussex, 1873 to 2001, Marine Geol., 249, 271–282, https://doi.org/10.1016/j.margeo.2007.12.005, 2008. 
Hapke, C. J., Reid, D., and Richmond, B.: Rates and trends of coastal change in California and the regional behavior of the beach and cliff system, J. Coast. Res., 25, 603–615, https://doi.org/10.2112/08-1006.1, 2009. 
Liu, J. K., Li, R., Deshpande, S., Niu, X., and Shih, T. Y.: Estimation of blufflines using topographic Lidar data and orthoimages, Photogramm. Eng. Remote Sens., 75, 69–79, 2009. 
Download
Short summary
Cliff base and top lines that delimit coastal cliff faces are usually manually digitized based on maps, aerial photographs, terrain models, etc. However, manual mapping is time consuming and depends on the mapper's decisions and skills. To increase the objectivity and efficiency of cliff mapping, we developed CliffDelineaTool, an algorithm that identifies cliff base and top positions along cross-shore transects using elevation and slope characteristics.
Share