Estimating wheat yield by integrating the WheatGrow and PROSAIL models
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- 作者：L. Zhang zl_1023@126.com" class="auth_mail" title="E-mail the corresponding author ; C.L. Guo sxgclxwh@163.com" class="auth_mail" title="E-mail the corresponding author ; L.Y. Zhao zhaoly27@163.com" class="auth_mail" title="E-mail the corresponding author ; Y. Zhu yanzhu@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; W.X. Cao caow@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Y.C. Tian ; yctian@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; T. Cheng tcheng@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; X. Wang wangxue@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wheat ; WheatGrow model ; PROSAIL model ; LUT ; Data fusion ; Grain yield
- 刊名：Field Crops Research
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：192
- 期：Complete
- 页码：55-66
- 全文大小：3842 K
文摘
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PROSAIL model was integrated with the WheatGrow model, integrating RS and growth
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We developed a look-up table between VIs and measured wheat parameters.
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Time-series VIs obtained by fusing high spatial- and temporal-resolution images.
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Three-band Vi RNir/(RRed + RGreen) and two-band VI SAVI(RNir,RRed) were optimal.
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Accuracy is best using multiple RS data from late jointing to initial filling.