Methods for integration of remote sensing data and crop model and their prospects in agricultural application

In order to widen application of the new method for integration of remote sensing data and crop model in agriculture, in this paper the advantages and limits of the application of remote sensing and crop simulation model in agriculture were analyzed, and it is necessary to integrate both of them in application, firstly. Then three methods of integration remote sensing and crop model were introduced and research progress of assimilation of remote sensing data and crop model was reviewed. The prospects of assimilation approaches were analyzed for its application in crop yield forecasting, crop quality prediction, precision fertilization and irrigation management decision-making. At last, some questions for integration of remote sensing and crop model were presented, such as remote sensing quantification, parameter and forcing data set acquiring, optimization algorithms selection and improvement, crop model perfection and correction. These questions may be resolved with more sources of remote sensing data, and with the development of Quantitative Remote Sensing, crop model and assimilation theory.