Assessment of unified models for estimating potato leaf area index under water stress conditions across ground-based hyperspectral data

被引：0
|
作者：
Luo, Shanjun [1 ,2 ]
He, Yingbin [1 ,3 ]
Li, Qian [3 ]
Jiao, Weihua [4 ]
Zhu, Yaqiu [3 ]
Yu, Jinkuan [1 ]
Zhao, Chang [3 ]
Xu, Ruiyang [1 ]
Zhang, Shengli [5 ]
Xu, Fei [5 ]
Sun, Jing [5 ]
Han, Zhongcai [5 ]
Li, Chuang [6 ]
机构：
[1] Chinese Academy of Agricultural Science, Institute of Agriculture Resources and Regional Planning, Beijing, China
[2] Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China
[3] Tianjin Polytechnic University, School of Economics and Management, Tianjin, China
[4] Shandong University of Finance and Economics, Center for Agricultural and Rural Economic Research, Jinan, China
[5] Jilin Academy of Vegetables and Flower Sciences, Potato Science Institute, Changchun, China
[6] Jilin Academy of Agricultural Sciences, Institute of Economic Plants, Fanjiatun, China
来源：
Journal of Applied Remote Sensing | 2020年 / 14卷 / 01期
基金：
中国国家自然科学基金;
关键词：
26;
D O I：
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