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

Le Maire G., Nouvellon Y., Roupsard O., Christina M., Charbonnier F., Zhou J., Ponzoni F.J., Stape J.L., Dauzat J., Couteron P., Proisy C.. 2012. In : IEEE. Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich, Germany, 22-27 July 2012,. Piscataway : IEEE, p. 6553-6556. IEEE International Geoscience and Remote Sensing Symposium, 2012-07-22/2012-07-27, Munich (Allemagne).

DOI: 10.1109/IGARSS.2012.6352098

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 [1], 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. (Résumé d'auteur)

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