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Proceedings Paper

Simulation of regional winter wheat growth by using remote sensing data and crop model
Author(s): Jianmao Guo; Qi Wang; Tengfei Zheng; Junyi Shi; Jinhui Zhu
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Paper 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.

Paper Details

Date Published: 24 October 2012
PDF: 8 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130E (24 October 2012); doi: 10.1117/12.930387
Show Author Affiliations
Jianmao Guo, Nanjing Univ. of Information Science & Technology (China)
Qi Wang, Nanjing Univ. of Information Science & Technology (China)
Tengfei Zheng, Nanjing Univ. of Information Science & Technology (China)
Junyi Shi, Nanjing Univ. of Information Science & Technology (China)
Jinhui Zhu, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)

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