Agritrop
Home

Combining remote sensing and plant growth modeling to describe the carbon and water budget of semi-arid grasslands

Nouvellon Yann, Lo Seen Danny, Bégué Agnès, Rambal Serge, Moran M. Susan, Qi Jiaguo, Chehbouni A., Kerr Yann. 1998. Combining remote sensing and plant growth modeling to describe the carbon and water budget of semi-arid grasslands. In : IGARSS'98 IEEE International Geoscience and Remote Sensing symposium proceedings "sensing and managing the environment". IEEE. Piscataway : IEEE, pp. 2393-2395. International Geoscience and Remote Sensing Symposium, Seattle, États-Unis, 6 July 1998/10 July 1998.

Paper without proceedings
Full text not available from this repository.

Autre titre : L'association de la télédétection et de la modélisation de la croissance des plantes pour décrire le budget carboné et hydrique d'herbages semi-arides

Abstract : In this paper we investigate the opportunity of coupling a vegetation growth model developed for semi-arid perennial grasslands, with a soil/vegetation reflectance model in order to use remote sensing data to improve the model simulations. The vegetation functioning model developed for this purpose has been validated in Southeastern Arizona and Northeastern Sonora on several semiarid grassland sites. The assimilation of radiometric data into the shortgrass prairie ecosystem model is based on an iterative numerical procedure that recalibrates the combined model until model simulations match radiometric observations. For this purpose, a prior sensivity analysis was carried out for the vegetation growth model in order to determine the most important input parameters or initial conditions on which to base the recalibration procedure. The results obtained and the potentiel of such an approach are discussed. (Résumé d'auteur)

Mots-clés Agrovoc : Prairie, Télédétection, Modèle de simulation, Croissance, Bilan hydrique, Matière organique du sol, Bilan radiatif, Productivité primaire, Modélisation

Mots-clés géographiques Agrovoc : Arizona, Sonora

Classification Agris : U30 - Research methods
U10 - Computer science, mathematics and statistics
F60 - Plant physiology and biochemistry

Auteurs et affiliations

  • Nouvellon Yann
  • Lo Seen Danny, CIRAD-AMIS-AGRONOMIE (FRA) ORCID: 0000-0002-7773-2109
  • Bégué Agnès, CIRAD-AMIS-AGRONOMIE (FRA)
  • Rambal Serge
  • Moran M. Susan
  • Qi Jiaguo
  • Chehbouni A.
  • Kerr Yann

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/390377/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-01-14 ]