Spatially explicit vegetation fractions to improve climate model simulation: A 29-year time series of annual Plant Functional Type (PFT) fraction maps through the fusion of the CCI MRLC 300 m land cover dataset and existing high-resolution data products, - Archive ouverte HAL Accéder directement au contenu
Poster De Conférence Année : 2022

Spatially explicit vegetation fractions to improve climate model simulation: A 29-year time series of annual Plant Functional Type (PFT) fraction maps through the fusion of the CCI MRLC 300 m land cover dataset and existing high-resolution data products,

Fichier non déposé

Dates et versions

hal-04264797 , version 1 (30-10-2023)

Identifiants

  • HAL Id : hal-04264797 , version 1

Citer

Catherine Ottle, Kandice L. Harper, Céline Lamarche, Pierre Defourny, Andrew J. Hartley, et al.. Spatially explicit vegetation fractions to improve climate model simulation: A 29-year time series of annual Plant Functional Type (PFT) fraction maps through the fusion of the CCI MRLC 300 m land cover dataset and existing high-resolution data products,. ESA- LPS22 symposium,, May 2022, Bonn, Germany. ⟨hal-04264797⟩
4 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More