Accurate crop growth monitoring and yield forecasting are significant to food security and sustainable development of
agriculture. However, regional crop growth simulation faces the difficulties in determining the spatial distribution of
some model parameters and initial conditions. In this study, regional biomasses at turn-green stage of winter wheat were
re-estimated by linking WOFOST model and Soil Adjusted Vegetation Index (SAVI) synthesized from remote sensing
data. Moreover, we proposed a way of combining evapotranspiration derived from satellite remote sensing data to crop
grow simulation model. Thus, the regional initial available soil water and irrigation at earring stage were re-initialized
and re-estimated by using remote sensing data. Those methods were well applied to simulate the growth and
development for winter wheat at local site. After regionalizing of weather data, crop model parameters and initial
conditions, those methods were used to estimate winter wheat yields in North China during the growing season from
2001 to 2002 at the scale of 0.25 degrees. The results showed that both soil water and final winter wheat yields
estimation were improved and the relative root mean square error (RRMSE) decreased from 0.63 without remote sensing
data to 0.20 with remote sensing data for 32 sites. The relative errors of the aggregated yields for three provinces were
-4.9%, 4.3% and 8.6%, respectively. These results illustrated that remote sensing data can be used to improve winter
wheat yields simulation at regional scale.
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