Irrigation plays an important role in crop yield production in arid and semi-arid regions.
However, irrigation effects have not been well addressed in the application of crop models at …

Accurate estimation of regional winter wheat yields is essential for understanding the food
production status and ensuring national food security. However, using the existing remote …

Assimilating biophysical parameters derived from remote sensing into crop growth model is
an important approach to improve performance of regional crop yield estimation. Currently …

CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …

Accurate estimation of regional-scale crop yield under drought conditions allows farmers
and agricultural agencies to make well-informed decisions and guide agronomic …

Data assimilation, a state-of-the-art method that merges remote sensing data with a dynamic
model to improve model performance, has been widely used in land surface process …

The farmland area in arid and semiarid regions accounts for about 40% of the total area of
farmland in the world, and it continues to increase. It is critical for global food security to …

Assimilating multi-source data into crop models is a promising way to improve crop growth
simulations and yield estimations over a large area. Most of previous studies have mainly …

Spatially explicit information on crop yields is essential for farmers and agricultural agencies
to make well-informed decisions. One approach to estimate crop yield with remote sensing …

Regional crop yield prediction is a significant component of national food policy making and
security assessments. A data assimilation method that combines crop growth models with …