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Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data

Xiaowen Guo Jinhui Niu Rong Wang Jing M.Chen Zhiqiang Cheng Hongda Zeng Guofang Miao Zhiqun Huang Zhenxiong Guo Jianjie Cao

地球空间信息科学学报（英文版）2025，Vol.28Issue(1)：中插1,22-35,15.
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地球空间信息科学学报（英文版）2025，Vol.28Issue(1)：中插1,22-35,15.DOI:10.1080/10095020.2023.2251540

Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data

Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data

Xiaowen Guo 1Jinhui Niu 2Rong Wang 1Jing M.Chen 3Zhiqiang Cheng 1Hongda Zeng 1Guofang Miao 1Zhiqun Huang 1Zhenxiong Guo 2Jianjie Cao2

作者信息

  • 1. School of Geographical Sciences,Fujian Normal University,Fuzhou,China||Key Laboratory of Humid Subtropical Eco-Geographical Process,Ministry of Education,Fujian Normal University,Fuzhou,China
  • 2. School of Geographical Sciences,Fujian Normal University,Fuzhou,China
  • 3. School of Geographical Sciences,Fujian Normal University,Fuzhou,China||Key Laboratory of Humid Subtropical Eco-Geographical Process,Ministry of Education,Fujian Normal University,Fuzhou,China||Department of Geography and Planning,University of Toronto,Toronto,Canada
  • 折叠

摘要

关键词

Unmanned Aerial Vehicle(UAV)/Leaf Area Index(LAI)/Leaf Chlorophyll Content(LCC)/synergetic inversion/empirical model

Key words

Unmanned Aerial Vehicle(UAV)/Leaf Area Index(LAI)/Leaf Chlorophyll Content(LCC)/synergetic inversion/empirical model

引用本文复制引用

Xiaowen Guo,Jinhui Niu,Rong Wang,Jing M.Chen,Zhiqiang Cheng,Hongda Zeng,Guofang Miao,Zhiqun Huang,Zhenxiong Guo,Jianjie Cao..Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data[J].地球空间信息科学学报（英文版）,2025,28(1):中插1,22-35,15.

基金项目

This research was supported by the National Key Research and Development Program of China[grant numbers 2020YFA0608701,2020YFA608702],National Natural Science Foundation of China[grant number 42101368],Science and Technology Project of Fujian Province[grant number 2022R1002008],and Natural Science Foundation of Fujian Province[grant number2020J05041]. （）

地球空间信息科学学报（英文版）

1009-5020

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