Analysing airborne CO2 flux measurements in relation to spatiotemporal characteristics of drained fen meadows in the Netherlands with machine learning

Laura van der Poel; Wietse Franssen; Laurent Bataille; Ronald Hutjes; Bart Kruijt

doi:10.5194/egusphere-egu24-10322

Analysing airborne CO2 flux measurements in relation to spatiotemporal characteristics of drained fen meadows in the Netherlands with machine learning

Laura van der Poel, Wietse Franssen, Laurent Bataille, Ronald Hutjes, Bart Kruijt

Research output: Contribution to conference › Abstract

Original language	English
DOIs	https://doi.org/10.5194/egusphere-egu24-10322
Publication status	Published - 2024
Event	EGU General Assembly 2024 - Vienna, Vienna, Austria Duration: 14 Apr 2024 → 19 Apr 2024 https://www.egu24.eu/

Conference/symposium

Conference/symposium	EGU General Assembly 2024
Country/Territory	Austria
City	Vienna
Period	14/04/24 → 19/04/24
Internet address	https://www.egu24.eu/

Access to Document

10.5194/egusphere-egu24-10322Licence: CC BY

https://edepot.wur.nl/698265Licence: CC BY

Cite this

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title = "Analysing airborne CO2 flux measurements in relation to spatiotemporal characteristics of drained fen meadows in the Netherlands with machine learning",

author = "{van der Poel}, Laura and Wietse Franssen and Laurent Bataille and Ronald Hutjes and Bart Kruijt",

year = "2024",

doi = "10.5194/egusphere-egu24-10322",

language = "English",

note = "EGU General Assembly 2024 ; Conference date: 14-04-2024 Through 19-04-2024",

url = "https://www.egu24.eu/",

}

TY - CONF

T1 - Analysing airborne CO2 flux measurements in relation to spatiotemporal characteristics of drained fen meadows in the Netherlands with machine learning

AU - van der Poel, Laura

AU - Franssen, Wietse

AU - Bataille, Laurent

AU - Hutjes, Ronald

AU - Kruijt, Bart

PY - 2024

Y1 - 2024

U2 - 10.5194/egusphere-egu24-10322

DO - 10.5194/egusphere-egu24-10322

M3 - Abstract

T2 - EGU General Assembly 2024

Y2 - 14 April 2024 through 19 April 2024

ER -