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ASSIMILATION OF A BIOPHYSICAL PARAMETER ESTIMATED BY REMOTE SENSING USING SPOT 4&5 DATA INTO A SUGARCANE YIELD FORECASTING MODEL

文献类型: 会议论文

第一作者: E. BAPPEL

作者: E. BAPPEL 1 ; A. BEGUE 1 ; J.F. MARTINE 2 ; A. PELLEGRINO 1 ; B. SIEGMUND 2 ;

作者机构: 1.CIRAD, Maison de la Teledetection, 500 rue J.F, Breton, 34093 Montpellier Cedex 5, France

2.CIRAD, Station de la Bretagne, BP20, 97408 Saint Denis Messagerie Cedex 9, Ile de La Reunion, France

关键词: SPOT Satellite;NDVI;LAI;Growth Model;Satellite SPOT;NDVI;LAI;Modèle de Croissance

会议名称: International Society of Sugar Cane Technologists

主办单位:

页码: 260-264

摘要: IN THE context of the SUCRETTE project, (Système de sUivi de la Canne à sucRE par TeledeTEction) CIRAD (Centre International de Recherche Agronomique pour le Developpement) has initiated a project to monitor growth of sugarcane in Reunion Island (55°60' E longitude, 20°90' S latitude). Ground measurements (Leaf Area Index) using a PC A Licor 2000 were taken from June 2002 to December 2002, coupled with SPOT 4&5 (Satellite Pour l'Observation de la Terre) images acquired during the same period. Yield estimates could be improved by combining remotely sensed data with growth models. The objective of this study was to determine a relationship between leaf area index (LAI) and the Normalised Difference Vegetation Index (NDVI) generated from SPOT 4&5 images, and to establish whether there is a benefit in using remotely estimated LAI instead of simul cited Ju.AlI to estimate yield. A strong relationship between LAI and NDVI was obtained using an exponential function (R2=0.86). A time series of 12 SPOTimages was used to produce NDVI profiles for each field. Gaps between dates were filled by fitting an empirical curve. LAI was estimated at a daily time step from the NDVI curve. The growth model Mosicas was forced using the estimated LAI. Actual yieldswere compared with yields simulated with and without LAI forcing. The coefficient of determination results indicate that R2 between observed and simulated yields is equal to 0.42 and 0.66 for simulation without forcing and for simulation with LAI forcing, respectively. The root mean square error of 19.3 t/ha without LAI forcing decreased to 12.8 t/ha using LAI forcing.

分类号: TS244-532

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[1]REAL-TIME SUGARCANE HARVEST MONITORING USING SPOT 4&5 SATELLITE DATA. E. BAPPEL,A. BEGUE,P. DEGENNE,V. LEBOURGEOIS,B. SIEGMUND. 2005

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