Inoue Yoshio, Qi Jiaguo, Nouvellon Yann, Moran M. Susan.
2000. Hyperspectral and directional remote sensing measurements of rice canopies for estimation of plant growth variables.
In : Taking the pulse of the planet, the role of remote sensing in managing the environment. Vol. 1 : IGARSS 2000 International Geoscience and Remote Sensing Symposium , Honolulu, Hawaï, 24-28 July 2000. IEEE
Autre titre : Mesures par télédétection directionnelle et hyperspectrale de feuillages de riz pour l'estimation de variables de la croissance
Résumé : An AOTF (Acousto-Optic Tunable Filter)-based spectral imager for field use was developed for hyper-spectral measurement of plant reflectance. Hyper-spectral imagery in a region between 450nm-900nm was obtained at 3 to 5nm resolution. Spectral wavelengths and interval were both programmable by PC control. Regression trial for rice canopies suggested that the leaf nitrogen and chlorophyll contents would be estimated by high-resolution measurement in visible and near infrared region. The directional multi-spectral measurements in visible, near-, and shortwave- infrared regions were obtained for rice canopies and used for inversion of bi-directional reflectance models. Results suggested that physically based directional model would be used for directional correction and for estimation of eco-physiological variables of rice canopies although they seemed less accurate in red region under sparse condition.
Mots-clés Agrovoc : Oryza sativa, feuille, Réflectance, modèle de simulation, imagerie, azote, chlorophylle, couvert
Classification Agris : U30 - Méthodes de recherche
F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
Auteurs et affiliations
- Inoue Yoshio, National Institute of Agro-Environmental Sciences (JPN)
- Qi Jiaguo, USDA (USA)
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Nouvellon Yann, CIRAD-FORET-PLANTATIONS (COG)
ORCID: 0000-0003-1920-3847
- Moran M. Susan, USDA (USA)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/479737/)
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