Paper
24 October 2012 Estimation of winter wheat yield by using remote sensing data and crop model
Jianmao Guo, Tengfei Zheng, Qi Wang, Jia Yang, Junyi Shi, Jinhui Zhu
Author Affiliations +
Abstract
Remote sensing data combined with crop model is an important application and development trend of current agricultural information technology, it can solve the problem that remote sensing or crop model cannot solve alone. In order to simulate crop growth and yield prediction in large scale, this paper using field test data to calibrate and validation the model parameters before apply to the winter wheat WOFOST model, than according to the actual environment of Xinxiang, simulate the growth in 3 different condition in the 2002-2003 growing season. Contrast the simulation value WOFOST model, using the Landsat-7 ETM retrieving leaf area index, define winter wheat’s growth condition in each pixel, the remote sensing information combined with crop model is accomplished at pixel scale. Based on the actual production of Xinxiang winter wheat in 2003,compare the simulate results with the corresponding parameter, results shows that the method of this study method is feasible.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianmao Guo, Tengfei Zheng, Qi Wang, Jia Yang, Junyi Shi, and Jinhui Zhu "Estimation of winter wheat yield by using remote sensing data and crop model", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130V (24 October 2012); https://doi.org/10.1117/12.930407
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KEYWORDS
Data modeling

Remote sensing

Atmospheric modeling

Agriculture

Vegetation

Environmental sensing

Calibration

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