Simulation of regional winter wheat growth by using remote sensing data and crop model

Jianmao Guo; Qi Wang; Tengfei Zheng; Junyi Shi; Jinhui Zhu

doi:10.1117/12.930387

24 October 2012 Simulation of regional winter wheat growth by using remote sensing data and crop model

Jianmao Guo, Qi Wang, Tengfei Zheng, Junyi Shi, Jinhui Zhu

Proceedings Volume 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX; 85130E (2012) https://doi.org/10.1117/12.930387
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

Based on medification of crop model WOFOST, a winter wheat growth model was applied in Yucheng region of Shandong Province in the North China Plain. Combination method of remote sensing information with crop model in water stress production level was studied. Through coupling remote sensing information, crop model was optimized by reestimating its parameters and initial conditions. A new method of regional remote sensing combining crop model was established and its application was studied. This method has highly potential application in crop growth monitoring and yield forecasting.

Citation Download Citation

Jianmao Guo, Qi Wang, Tengfei Zheng, Junyi Shi, and Jinhui Zhu "Simulation of regional winter wheat growth by using remote sensing data and crop model", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130E (24 October 2012); https://doi.org/10.1117/12.930387

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