Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods

  1. Garcia-Rodriguez, D.
  2. Ruber, P.C.
  3. Iglesias Fuente, D.J.
  4. Durá, J.J.M.
  5. Baeza, E.L.
  6. Celda, A.G.
Journal:
Ecological Informatics

ISSN: 1574-9541

Year of publication: 2024

Volume: 81

Type: Article

DOI: 10.1016/J.ECOINF.2024.102638 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10550/108682
RODERIC. Repositorio Institucional de la Universitat de Valéncia: lock_openOpen access Handle

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Data source: Scopus