R.E.E. Jongschaap: Integrating crop growth simulation and remote sensing

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12 May 2006 16:00
Unit: Wageningen University
Location: Aula, building 362, Gen. Foulkesweg 1, Wageningen
Co Promotor: Prof.dr. S.M. de Jong en prof.dr.ir. H. van Keulen (promotors)

 Integrating crop growth simulation and remote sensing to improve resource use efficiency in farming systems.

Both simulation modelling and remote sensing have made valuable contributions in separate applications in agriculture. The hypothesis of this study was that integration of both techniques would lead to improvements in the dynamic simulation of the crop-soil system, thus contribute to improvements in management decision support systems for environmentally sound agricultural production.

In this study it is proven that the spatial aspect of remote sensing enabled up-scaling point-based simulation results to higher integration levels. Emergence, flowering, canopy nitrogen status and leaf area index (and its variability as a result from differences in local growth conditions), were successfully retrieved from remote sensing data. The quantification and integration of these important model driving variables in a dynamic calibration procedure of a crop growth model, lead to more accurate simulation results, e.g. for mineral nitrogen in the soil. The degree of success and robustness of the integrated approach depended on the timing, accuracy and number of remote sensing observations available for re-setting the relevant state variables in the course of the simulation period.
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