Nouvellon Yann, Moran M. Susan, Bryant Ross, Ni Wanmei, Heilman Phil, Emmerich B., Lo Seen Danny, Bégué Agnès, Rambal Serge, Qi J..
2000. Combining a SVAT model with landsat imagery for a ten year simulation of grassland carbon and water budget.
In : Second International Conference on Geospatial Information in Agriculture and Forestry, Lake Buena Vista, Florida, 10-12 January 2000
Autre titre : La combinaison d'un modèle de transfert sol-végétation-atmosphère (SVAT) avec l'imagerie Landsat pour la simulation sur dix ans du budget carboné et hydrique d'une prairie
Résumé : This study investigates the use of high-spatial, low-temporal scale visible remote sensing data for calibration of a Soil-Vegetation-Atmosphere-Transfer (SVAT) model for semi-arid perennial grasslands. The SVAT model is driven by meteorological data and simulates plant growth and water budget on a daily time step. The model was combined with a canopy reflectance model to simulate shortwave radiometric temporal profiles. Landsat Thematic Mapper (TM) images obtained during a series of ten consecutive years were used to refine the model to work on a spatially-distributed basis over a semi-arid grassland watershed. Continuous simulations were used to estimate two spatially-variable initial conditions and model parameters through a calibration procedure which minimized the difference between the surface reflectance simulated by the model and measured by the TM sensor. Accuracy of model products such as daily above-ground biomass and soil moisture was assessed by comparison with field measurements. The promising results suggest that this approach could provide spatially-distributed information about vegetation and soil conditions for day-to-day grassland management.
Mots-clés Agrovoc : prairie, télédétection, modèle de simulation, zone semi-aride, taux de croissance, bilan hydrique, bilan radiatif, biomasse, Réflectance, modélisation
Mots-clés géographiques Agrovoc : Arizona
Classification Agris : U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
F62 - Physiologie végétale - Croissance et développement
Auteurs et affiliations
- Nouvellon Yann, CIRAD-FORET-PLANTATIONS (COG)
- Moran M. Susan, USDA (USA)
- Bryant Ross, USDA (USA)
- Ni Wanmei, USDA (USA)
- Heilman Phil, USDA (USA)
- Emmerich B., USDA (USA)
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Lo Seen Danny, CIRAD-AMIS-AGRONOMIE (FRA)
ORCID: 0000-0002-7773-2109
- Bégué Agnès, CIRAD-AMIS-AGRONOMIE (FRA)
- Rambal Serge, CNRS (FRA)
- Qi J., MSU (USA)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/479738/)
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