Very high resolution satellite images for parameterization of tree-scale forest process-based model

Guerric Le Maire (1) , Yann Nouvellon (1) , Olivier Roupsard (1) , Mathias Christina (1) , Fabien Charbonnier (1) , Jia Zhou (2, 3) , Flavio Ponzoni (4) , Jose-Luiz Stape (5) , Jean Dauzat (2) , Pierre Couteron (2) , Christophe Proisy (2)

1 UMR Eco&Sols - Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes
2 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
3 AYIN - Models of spatio-temporal structure for high-resolution image processing
4 INPE - Instituto Nacional de Pesquisas Espaciais
5 FER - Department of Forestry and Environmental Resources [Raleigh]

Very high spatial resolution (VHSR) satellite images provide interesting information for parameterizing tree-scale forest process-based models, and in particular their light absorption submodels, which is at the basis of photosynthesis calculation. Such tree-scale models require a large amount of field measurements to describe the forest ecosystems, i.e. all tree positions, their sizes and shapes, their leaf areas, etc. These data are generally measured directly in the field, which can be tedious for large areas like a forest stand. In this study, we explore the possibility to parameterize such tree-scale models directly or indirectly from panchromatic and multispectral very high resolution images.

Domaines: Biodiversité et Ecologie

Guerric Le Maire, Yann Nouvellon, Olivier Roupsard, Mathias Christina, Fabien Charbonnier, et al.. Very high resolution satellite images for parameterization of tree-scale forest process-based model. IGARSS, Jul 2012, Munich, Germany. ⟨hal-00741004⟩