Retrieving LAI by assimilating time series HJ CCD data with WOFOST

For the accuracy improvement of retrieving Leaf Area Index(LAI) from remote sensing images, the least square method was used as the algorithm to assimilate time series HJ CCD images with WOFOST based on its fundamental principals analysis. The calibrated crop growth model was then used for crop growth monitoring and yield estimation in Yutian, Hebei province. The results showed that the error of yield and LAI compared with their site specific counterparts were improved by 2.28% and 4.98% respectively, which shows the feasibility of the presented method and provides a new choice for spatialising crop growth model at regional scale.