The following publications are possibly variants of this publication:
- Improving Leaf Area Index Estimation With Chlorophyll Insensitive Multispectral Red-Edge Vegetation IndicesYuanheng Sun, Binyu Wang, Zhaoxu Zhang. staeors, 16:3568-3582, 2023. [doi]
- Improving leaf area index estimation accuracy of wheat by involving leaf chlorophyll content informationZhulin Chen, Kun Jia, Xiangqin Wei, Yan Liu, Yulin Zhan, Mu Xia, Yunjun Yao, Xiaotong Zhang. cea, 196:106902, 2022. [doi]
- An Approach for Joint Estimation of Grassland Leaf Area Index and Leaf Chlorophyll Content from UAV Hyperspectral DataXiaohua Zhu, Qian Yang, Xinyu Chen, Zixiao Ding. remotesensing, 15(10):2525, 2023. [doi]
- Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning AlgorithmsYuanhui Zhu, Kai Liu 0003, Lin Liu 0005, Soe W. Myint, Shugong Wang, Hongxing Liu, Zhi He. remotesensing, 9(10):1060, 2017. [doi]
- Red-Edge Band Vegetation Indices for Leaf Area Index Estimation From Sentinel-2/MSI ImageryYuanheng Sun, Qiming Qin, Huazhong Ren, Tianyuan Zhang, Shanshan Chen. tgrs, 58(2):826-840, 2020. [doi]
- Reduced Prediction Saturation and View Effects for Estimating the Leaf Area Index of Winter WheatLi He, Craig A. Coburn, Zhi-jie Wang, Wei Feng, Tian-Cai Guo. tgrs, 57(3):1637-1652, 2019. [doi]
- Temporal disparity in leaf chlorophyll content and leaf area index across a growing season in a temperate deciduous forestH. Croft, J.-M. Chen, Y. Zhang. aeog, 33:312-320, 2014. [doi]