Yield forecasting for wheat and corn in Hungary by satellite remote sensing

Péter Bognár, Cs. Ferencz, Sz. Pásztor, Gábor Molnár, Gábor Tímár, D. Hamar, János Lichtenberger, Balázs Székely, Péter Steinbach, Orsolya E. Ferencz

International Journal of Remote Sensing · 2011 · 24 citations · 10 references

Concepts

Abstract

Abstract We have developed an advanced version of our yield estimation method [Ferencz et al., Citation2004, Crop yield estimation by satellite remote sensing. International Journal of Remote Sensing, 25, pp. 4113–4149], that is able to provide reliable forecasts for corn and wheat, several weeks before the harvest. The forecasting method is based on the data of the Advanced Very High Resolution Radiometer (AVHRR) instruments of the National Oceanic and Atmospheric Administration's (NOAA) Polar Orbiting Environmental Satellites (POES). The method was applied to Hungary between the years 1996 and 2000. The forecasted yield values are all within 5% reliability with respect to the actual yield data produced by classic (non-satellite based) methods and provided by the Hungarian Statistical Office, with the exception of 1997, where the absolute error is about 8%. Acknowledgement The authors sincerely thank the Hungarian Space Office for supporting this research with long-funding.

References

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