Articles | Volume 11, issue 10
https://doi.org/10.5194/gmd-11-4317-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4317-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
19 Oct 2018
Development and technical paper |
| 19 Oct 2018
| 19 Oct 2018
Development of an automatic delineation of cliff top and toe on very irregular planform coastlines (CliffMetrics v1.0)
British Geological Survey, Keyworth, NG12 5GG, UK
Bismarck Jigena Antelo
Cadiz University, Puerto Real, 11510, Spain
Martin Hurst
University of Glasgow, East Quad, Glasgow, G12 8QQ, UK
Monica Palaseanu-Lovejoy
U.S. Geological Survey, Geology, Minerals, Energy and Geophysics
Science Center, Reston, VA 20191, USA
Chris Williams
British Geological Survey, Keyworth, NG12 5GG, UK
Gareth Jenkins
British Geological Survey, Keyworth, NG12 5GG, UK
Kathryn Lee
British Geological Survey, Keyworth, NG12 5GG, UK
David Favis-Mortlock
Environmental Change Institute, Oxford University Centre for the
Environment, Oxford, OX1 3QY, UK
Andrew Barkwith
British Geological Survey, Keyworth, NG12 5GG, UK
Michael A. Ellis
Cadiz University, Puerto Real, 11510, Spain
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Cited
16 citations as recorded by crossref.
- Open Digital Shoreline Analysis System: ODSAS v1.0 A. Gómez-Pazo et al. 10.3390/jmse10010026
- pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks Z. Lv et al. 10.1016/j.cageo.2022.105296
- Results of high-resolution technologies applied in the acquisition of seafloor information in the Colombian Caribbean Sea K. Oviedo-Prada et al. 10.1080/10106049.2024.2321365
- IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas M. Abraham et al. 10.3390/s20092611
- The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study A. Rumson et al. 10.1016/j.ocecoaman.2019.104875
- A vector-based coastline shape classification approach using sequential deep learning model A. Gao et al. 10.1016/j.jag.2024.103810
- iBluff: An open-source R package for geomorphic analysis of coastal bluffs/cliffs M. Palaseanu-Lovejoy 10.1016/j.softx.2023.101325
- Geometrical Analysis of the Inland Topography to Assess the Likely Response of Wave-Dominated Coastline to Sea Level: Application to Great Britain A. Payo et al. 10.3390/jmse8110866
- A Method to Extract Measurable Indicators of Coastal Cliff Erosion from Topographical Cliff and Beach Profiles: Application to North Norfolk and Suffolk, East England, UK P. Muñoz López et al. 10.3390/jmse8010020
- Acoustic Evidence of Shallow Gas Occurrences in the Offshore Sinú Fold Belt, Colombian Caribbean Sea A. Osorio-Granada et al. 10.3390/jmse11112121
- Shoreline Change from Optical and Sar Satellite Imagery at Macro-Tidal Estuarine, Cliffed Open-Coast and Gravel Pocket-Beach Environments M. Paz-Delgado et al. 10.3390/jmse10050561
- Automating coastal cliff erosion measurements from large-area LiDAR datasets in California, USA Z. Swirad & A. Young 10.1016/j.geomorph.2021.107799
- CCMORPH — Coastal Cliffs Morphology Analysis Toolbox A. Łysko et al. 10.1016/j.softx.2023.101386
- CCMORPH v2.0 – New coastal cliffs morphology analysis and visualization toolbox P. Terefenko et al. 10.1016/j.softx.2024.101678
- CliffDelineaTool v1.2.0: an algorithm for identifying coastal cliff base and top positions Z. Swirad & A. Young 10.5194/gmd-15-1499-2022
- Evidence of sea level rise at the Peruvian coast (1942–2019) B. Jigena-Antelo et al. 10.1016/j.scitotenv.2022.160082
16 citations as recorded by crossref.
- Open Digital Shoreline Analysis System: ODSAS v1.0 A. Gómez-Pazo et al. 10.3390/jmse10010026
- pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks Z. Lv et al. 10.1016/j.cageo.2022.105296
- Results of high-resolution technologies applied in the acquisition of seafloor information in the Colombian Caribbean Sea K. Oviedo-Prada et al. 10.1080/10106049.2024.2321365
- IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas M. Abraham et al. 10.3390/s20092611
- The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study A. Rumson et al. 10.1016/j.ocecoaman.2019.104875
- A vector-based coastline shape classification approach using sequential deep learning model A. Gao et al. 10.1016/j.jag.2024.103810
- iBluff: An open-source R package for geomorphic analysis of coastal bluffs/cliffs M. Palaseanu-Lovejoy 10.1016/j.softx.2023.101325
- Geometrical Analysis of the Inland Topography to Assess the Likely Response of Wave-Dominated Coastline to Sea Level: Application to Great Britain A. Payo et al. 10.3390/jmse8110866
- A Method to Extract Measurable Indicators of Coastal Cliff Erosion from Topographical Cliff and Beach Profiles: Application to North Norfolk and Suffolk, East England, UK P. Muñoz López et al. 10.3390/jmse8010020
- Acoustic Evidence of Shallow Gas Occurrences in the Offshore Sinú Fold Belt, Colombian Caribbean Sea A. Osorio-Granada et al. 10.3390/jmse11112121
- Shoreline Change from Optical and Sar Satellite Imagery at Macro-Tidal Estuarine, Cliffed Open-Coast and Gravel Pocket-Beach Environments M. Paz-Delgado et al. 10.3390/jmse10050561
- Automating coastal cliff erosion measurements from large-area LiDAR datasets in California, USA Z. Swirad & A. Young 10.1016/j.geomorph.2021.107799
- CCMORPH — Coastal Cliffs Morphology Analysis Toolbox A. Łysko et al. 10.1016/j.softx.2023.101386
- CCMORPH v2.0 – New coastal cliffs morphology analysis and visualization toolbox P. Terefenko et al. 10.1016/j.softx.2024.101678
- CliffDelineaTool v1.2.0: an algorithm for identifying coastal cliff base and top positions Z. Swirad & A. Young 10.5194/gmd-15-1499-2022
- Evidence of sea level rise at the Peruvian coast (1942–2019) B. Jigena-Antelo et al. 10.1016/j.scitotenv.2022.160082
Latest update: 19 Apr 2024
Short summary
We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed coastline from a digital elevation model (DEM). The algorithm builds upon existing methods but is specifically designed to resolve very irregular planform coastlines with many bays and capes, such as parts of the coastline of Great Britain.
We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed...
