DocumentCode :
576493
Title :
Very high resolution satellite images for parameterization of tree-scale forest process-based model
Author :
Le Maire, Guerric ; Nouvellon, Yann ; Roupsard, O. ; Christina, M. ; Charbonnier, F. ; Jia Zhou ; Ponzoni, F. ; Stape, J. ; Dauzat, J. ; Couteron, P. ; Proisy, C.
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6553
Lastpage :
6556
Abstract :
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.
Keywords :
ecology; forestry; geophysical image processing; image resolution; photosynthesis; vegetation mapping; forest ecosystems; light absorption submodels; multispectral very high resolution images; panchromatic very high resolution images; photosynthesis calculation; tree-scale forest process-based model; very high resolution satellite images; Area measurement; Estimation; Image resolution; Reflectivity; Remote sensing; Satellites; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352098
Filename :
6352098
Link To Document :
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