Prediction And Transferability Of  Median Grain Size On Tidal Flats Using A Deep Learning Model With Sentinel-2 Images

NIOZ Royal Netherlands Institute for Sea Research, Department of Ocean systems (OCS), and Utrecht University, PO Box 59, 1790 AB Den Burg, Texel, The Netherlands
Royal Netherlands Institute for Sea Research - NIOZ

Research output: Contribution to conference › Abstract › Academic

Original language	English
Publication status	Published - 2024
Event	43rd EARSel Symposium - Manchester, United Kingdom Duration: 17 Jun 2024 → 20 Jun 2024 https://manchester2024.earsel.org/?page_id=13

Conference	43rd EARSel Symposium
Country/Territory	United Kingdom
City	Manchester
Period	17/06/24 → 20/06/24
Internet address	https://manchester2024.earsel.org/?page_id=13

Cite this

@conference{ea0346fd80744212aa4a905966bb99e3,

title = "Prediction And Transferability Of Median Grain Size On Tidal Flats Using A Deep Learning Model With Sentinel-2 Images",

author = "Logambal Madhuanand and Katja Philippart and Wiebe Nijland and \{de Jong\}, Steven and Bijleveld, \{Allert I\} and Elisabeth Addink",

year = "2024",

language = "English",

note = "43rd EARSel Symposium ; Conference date: 17-06-2024 Through 20-06-2024",

url = "https://manchester2024.earsel.org/?page\_id=13",

}

TY - CONF

T1 - Prediction And Transferability Of Median Grain Size On Tidal Flats Using A Deep Learning Model With Sentinel-2 Images

AU - Madhuanand, Logambal

AU - Philippart, Katja

AU - Nijland, Wiebe

AU - de Jong, Steven

AU - Bijleveld, Allert I

AU - Addink, Elisabeth

PY - 2024

Y1 - 2024

M3 - Abstract

T2 - 43rd EARSel Symposium

Y2 - 17 June 2024 through 20 June 2024

ER -