EGU25-14478, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-14478
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Forest Flows: the integration of remote sensing and terrestrial big data to quantify forest hydrological fluxes at multiple scales
Dean Meason1, Konstantinos Andreadis2, Barbara Höck3, Guilherme Cassales4, Serajis Salekin1, Priscilla Lad1, Don White1, Chanatda Somchit5, Bruce Dudley6, James Griffins6, Jing Yang6, Alec Dempster6, Albert Bifet4, João Palma7, Adedamola Wuraola1, and Amanda Matson8
Dean Meason et al.
  • 1Scion (NZ Forest Research Institute)
  • 2University of Massachusetts Amherst
  • 3Candleford Ltd
  • 4University of Waikato
  • 5AgResearch
  • 6National Institute of Water and Atmospheric Research (NIWA)
  • 7Moinhos de Vento Agroecology Research Centre
  • 8Wageningen University and Research

How to cite: Meason, D., Andreadis, K., Höck, B., Cassales, G., Salekin, S., Lad, P., White, D., Somchit, C., Dudley, B., Griffins, J., Yang, J., Dempster, A., Bifet, A., Palma, J., Wuraola, A., and Matson, A.: Forest Flows: the integration of remote sensing and terrestrial big data to quantify forest hydrological fluxes at multiple scales, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14478, https://doi.org/10.5194/egusphere-egu25-14478, 2025.

This abstract has been withdrawn on 02 May 2025.