Quantification winter wheat LAI with HJ-1CCD image features over multiple growing seasons
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- 作者：Xinchuan Lia ; rs_lxc@126.com" class="auth_mail" title="E-mail the corresponding author ; Youjing Zhanga ; zhangyj@hhu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Juhua Luob ; luojuhua@126.com" class="auth_mail" title="E-mail the corresponding author ; Xiuliang Jinc ; jinxiuxiuliang@126.com" class="auth_mail" title="E-mail the corresponding author ; Ying Xua ; daisyxu0209@163.com" class="auth_mail" title="E-mail the corresponding author ; Wenzhi Yanga ; cowboy19891120@126.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：LAI ; HJ-1CCD image ; Remote sensing feature ; Winter wheat ; Partial least squares regression
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：44
- 期：Complete
- 页码：104-112
- 全文大小：3278 K
文摘
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We evaluate the performance of Landsat-5 TM and HJ-1CCD data for LAI estimation.
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We fully exploit the image features derived from Chinese HJ-1 A/B CCD images.
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The optimal features for LAI estimation are selected.
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The best PLSR model for LAI estimation are established.
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Selecting a few ideal image features is sufficient for LAI estimation.
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