Application of a genetic algorithm for crop model steering using NOAA-AVHRR data

Allard J. W. de Wit

doi:10.1117/12.373093

17 December 1999 Application of a genetic algorithm for crop model steering using NOAA-AVHRR data

Allard J. W. de Wit

Proceedings Volume 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications; (1999) https://doi.org/10.1117/12.373093
Event: Remote Sensing, 1999, Florence, Italy

Abstract

The main objective of this study was to investigate whether AVHRR data could be useful for crop model simulation steering by intrinsically taking the mixed pixel effects into account. The second objective was to determine if the application of a genetic algorithm could be an effective technique for crop model steering. The principles were tested for the Seville test site using synthetic data and AVHRR data from 1995 and 1996 because these years show a large contrast in crop development. The main conclusions are that a genetic algorithm is a very powerful technique for crop model optimization, but adaptations are needed to the current optimization scheme in order to be able to steer the WOFOST crop model on the basis of NOAA-AVHRR data.

Citation Download Citation

Allard J. W. de Wit "Application of a genetic algorithm for crop model steering using NOAA-AVHRR data", Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); https://doi.org/10.1117/12.373093

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