High-resolution, large-scale laboratory measurements of a sandy beach and dynamic cobble berm revetment

Autor: Chris E. Blenkinsopp, Paul M. Bayle, Daniel C. Conley, Gerd Masselink, Emily Gulson, Isabel Kelly, Rafael Almar, Ian L. Turner, Tom E. Baldock, Tomas Beuzen, Robert T. McCall, Huub Rijper, Ad Reniers, Peter Troch, David Gallach-Sanchez, Alan J. Hunter, Oscar Bryan, Gwyn Hennessey, Peter Ganderton, Marion Tissier, Matthias Kudella, Stefan Schimmels

Publikováno v: Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)

Measurement(s) surf zone waves • swash hydrodynamics • surf zone flow velocity • morphology • sediment Technology Type(s) Gauge or Meter Device • Lidar • velocimetry • mechanical profiler • optical backscatter sensor • Pressure tran

Externí odkaz: https://doaj.org/article/85412831638a404ca33f86139e761980

Labeling Poststorm Coastal Imagery for Machine Learning: Measurement of Interrater Agreement

Autor: Evan B. Goldstein, Daniel Buscombe, Eli D. Lazarus, Somya D. Mohanty, Shah Nafis Rafique, Katherine A. Anarde, Andrew D. Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin‐Si R. Over, Rose V. Palermo, Katherine M. Ratliff, Ian R. B. Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Wernette, Hannah E. Williams

Publikováno v: Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)

Abstract Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this

Externí odkaz: https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a

High-resolution, large-scale laboratory measurements of a sandy beach and dynamic cobble berm revetment

Autor: Gwyn Hennessey, Daniel Conley, Tomas Beuzen, Tom E. Baldock, David Gallach-Sánchez, Ian L. Turner, Huub Rijper, Emily Gulson, Gerd Masselink, Rafael Almar, Stefan Schimmels, Ad Reniers, Isabel Kelly, Peter Troch, Chris Blenkinsopp, Marion Tissier, Peter Ganderton, Alan J. Hunter, Paul M. Bayle, Oscar Bryan, Robert McCall, Matthias Kudella

Publikováno v: Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)
Scientific Data, 8(1)
SCIENTIFIC DATA
Scientific Data
Blenkinsopp, C E, Bayle, P M, Conley, D C, Masselink, G, Gulson, E, Kelly, I, Almar, R, Turner, I L, Baldock, T E, Beuzen, T, McCall, R T, Rijper, H, Reniers, A, Troch, P, Gallach-Sanchez, D, Hunter, A J, Bryan, O, Hennessey, G, Ganderton, P, Tissier, M, Kudella, M & Schimmels, S 2021, ' High-resolution, large-scale laboratory measurements of a sandy beach and dynamic cobble berm revetment ', Scientific Data, vol. 8, no. 1, 22 . https://doi.org/10.1038/s41597-021-00805-1

High quality laboratory measurements of nearshore waves and morphology change at, or near prototype-scale are essential to support new understanding of coastal processes and enable the development and validation of predictive models. The DynaRev expe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0cb8ddd22c3c8ba86df5c16c242e035
https://doaj.org/article/85412831638a404ca33f86139e761980

Labeling Poststorm Coastal Imagery for Machine Learning: Measurement of Interrater Agreement

Autor: Shah Nafis Rafique, Ashley Ellenson, Luke A. Taylor, Somya D. Mohanty, Eli D. Lazarus, I. R. B. Reeves, R. Palermo, K. Anarde, Jessamin A. Straub, Jin-Si R. Over, N. Cohn, Hannah Williams, Megan Gillen, Andrew D. Ashton, Katherine A. Castagno, K. M. Ratliff, Paige A. Hovenga, E. J. Wallace, Jonathan A. Warrick, Phillipe A. Wernette, Tomas Beuzen, Matthew P. Conlin, Daniel Buscombe, Lily H. Sanborn, Evan B. Goldstein

Publikováno v: Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)

Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this points to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deccc86bc5134e82dde63633eb6e227c
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a

Ensemble models from machine learning: an example of wave runup and coastal dune erosion

Autor: Tomas Beuzen, Kristen D. Splinter, Evan B. Goldstein

Publikováno v: Natural Hazards and Earth System Sciences, Vol 19, Pp 2295-2309 (2019)

After decades of study and significant data collection of time-varying swash on sandy beaches, there is no single deterministic prediction scheme for wave runup that eliminates prediction error – even bespoke, locally tuned predictors present scatt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3572dc54f2258002669f5882e8a446c9
https://doi.org/10.5194/nhess-19-2295-2019