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A spectral correction method for multi-scattering effects in close range hyperspectral imagery of vegetation scenes: application to nitrogen content assessment in wheat

Published online by Cambridge University Press:  01 June 2017

G. Rabatel ,
N. Al Makdessi ,
M. Ecarnot  and
P. Roumet
G. Rabatel*
Affiliation:
IRSTEA, UMR ITAP, 361 rue Jean-François Breton, 34196 Montpellier Cedex 05, France
N. Al Makdessi
Affiliation:
IRSTEA, UMR ITAP, 361 rue Jean-François Breton, 34196 Montpellier Cedex 05, France
M. Ecarnot
Affiliation:
INRA, UMR AGAP, 2 place Pierre Viala, 34060 Montpellier Cedex 02, France
P. Roumet
Affiliation:
INRA, UMR AGAP, 2 place Pierre Viala, 34060 Montpellier Cedex 02, France
*
† E-mail: gilles.rabatel@irstea.fr
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Abstract

A method able to overcome multiple scattering effects in close range hyperspectral imagery of vegetation scenes is presented. It has been developed using canopy and light propagation simulation tools and evaluated on real crop plants in the context of nitrogen content assessment.

Keywords

Hyperspectral imageryphenotypingcanopy modelization
Type
Precision Nitrogen
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 353 - 358
Copyright
© The Animal Consortium 2017 

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References

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