Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs
(2008) International Journal of Applied Earth Observation and Geoinformation — Vol. 10, n° 4, p. 414-425 (2007)
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- Abstract
- Distributed crop simulation models are typically confronted with considerable uncertainty in weather variables. In this paper the use of MeteoSat-derived meteorological products to replace weather variables interpolated from weather stations (temperature, reference evapotranspiration and radiation) is explored. Simulations for winter-wheat were carried for Spain, Poland and Belgium using both interpolated and MeteoSat-derived weather variables. The results were spatially aggregated to national and regional level and were evaluated by comparing the simulation results of both approaches and by assessing the relationships with crop yield statistics over the periods 1995–2003 from EUROSTAT. The results indicate that potential crop yield can be simulated well usingMeteoSat-derivedmeteorological variables, but thatwater-stress hardly occurs in thewater-limited simulations. This is caused by a difference in reference evapotranspiration whichwas 20–30%smaller in case ofMeteoSat. As a result, the simulations usingMeteoSat-derivedmeteorological variables performed considerably poorer in a regression analyseswith crop yield statistics on national and regional level. Our results indicate that a recalibration of the model parameters is necessary before the MeteoSatderived meteorological variables can be used operationally in the system.
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de Wit, A. J. W., & van Diepen, C. A. (2008). Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs. International Journal of Applied Earth Observation and Geoinformation, 10(4), 414-425. https://hdl.handle.net/2078.5/39798 (Original work published 2007)