Recalibrating a sugarcane crop model using thermal infrared data

Morel Julien, Lebourgeois Valentine, Martiné Jean-François, Todoroff Pierre, Bégué Agnès, Petit Michel. 2013. Recalibrating a sugarcane crop model using thermal infrared data. In : IGARSS 2013 International Geoscience and Remote Sensing Symposium "Building a Sustainable Earth through Remote Sensing", Melbourne, Australia, 21-26 July 2013. IEEE Geoscience and Remote Sensing Society. s.l. : s.n., 4 p. International Geoscience and Remote Sensing Symposium, Melbourne, Australie, 21 Juillet 2013/26 Juillet 2013.

Résumé : Coupling remotely sensed data with crop model is known to improve the estimation of crop variables by the model. The recalibration coupling approach tends to reduce the differences between observation and simulation by optimizing the value of one of the model's parameter. In this study, we used this approach with a sugarcane model and Crop Water Stress Index calculated using remotely sensed thermal infrared data in order to optimize the value of the root depth parameter thanks to measured and simulated AET/MET ratio. The effect of the root depth recalibration has also been assessed on the yield estimation, which showed good trends with a significant enhancement of the estimated yield.

Classification Agris : F01 - Culture des plantes
U10 - Informatique, mathématiques et statistiques
F50 - Anatomie et morphologie des plantes
U30 - Méthodes de recherche

Auteurs et affiliations

• Morel Julien, CIRAD-PERSYST-UPR SCA (REU)
• Lebourgeois Valentine, CIRAD-ES-UMR TETIS (REU)
• Martiné Jean-François, CIRAD-PERSYST-UPR SCA (REU)
• Todoroff Pierre, CIRAD-PERSYST-UPR SCA (REU)
• Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)
• Petit Michel, IRD (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/572103/)

Métriques

[ Page générée et mise en cache le 2022-03-30 ]