Estimation rice yield based on integration remote sensing information and crop model

摘要

Crop model is a powerful tool in crop growth monitoring and yield forecasting, however crop model is developed basedon single point scale, due to regional differentiation、field variation and other reasons lead to input parameters and initialconditions which required by crop model simulation are hard to obtain, the application of crop model has been greatlylimited in the regional scale, the introduction of remote sensing will solve this problem, remote sensing is combined withthe crop model WOFOST, using the state variable retrieved by remote sensing to optimize crop model simulation,revaluing the sensitive parameters and initial conditions which needed in crop model on the region scale, in order to takethe advantage of crop model in the area.This study is on the basis of adaptive adjustment and amendment of crop modelWOFOST, build a winter wheat growth simulation model which is suitable for Yucheng, Shandong; Using the fieldexperiment data calibration and validation the WOFOST model, discussed the method which combined crop simulationmodel and remote sensing under water stress level, using remote sensing calibrated some key processes of cropsimulation or reinitialize、parameterize the crop simulation model in order to achieve the optimization model; Exploredsome reasonable and practical method of remote sensing information application in crop simulation at regional scale,with more research, make it possible to monitor regional crop growth and forecast the output.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.