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