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Integrating remotely sensed images to improve spatial crop model calibration



Integrating remotely sensed images to improve spatial crop model calibration



2000 ASAE Annual International Meeting, Milwaukee, Wisconsin, USA, 9-12 July 2000: 1-17



The goal of this work was to determine if incorporation of remotely sensed imagery could improve prediction of spatial soyabean yields for seasons not used for model calibration. The CROPGRO-Soyabean model was calibrated to several years of historical spatial yield variability data in 175 grids for the Heck Home and McGarvey fields, and 224 grids for the Baker field in central Iowa, USA. The model was then used to predict spatial yield distribution for an independent season.

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Accession: 003480551

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