首页|期刊导航|地球空间信息科学学报(英文版)|Improved estimation of the underestimated GEDI footprint LAI in dense forests
地球空间信息科学学报(英文版)2025,Vol.28Issue(1):中插3,49-64,17.DOI:10.1080/10095020.2023.2286377
Improved estimation of the underestimated GEDI footprint LAI in dense forests
Improved estimation of the underestimated GEDI footprint LAI in dense forests
摘要
关键词
Light Detection and Ranging(LiDAR)/Global Ecosystem Dynamics Investigation(GEDI)/Leaf Area Index(LAI)/underestimated footprint/Digital Elevation Model(DEM)/dense forestsKey words
Light Detection and Ranging(LiDAR)/Global Ecosystem Dynamics Investigation(GEDI)/Leaf Area Index(LAI)/underestimated footprint/Digital Elevation Model(DEM)/dense forests引用本文复制引用
Lijuan Liang,Rong Shang,Jing M.Chen,Mingzhu Xu,Hongda Zeng..Improved estimation of the underestimated GEDI footprint LAI in dense forests[J].地球空间信息科学学报(英文版),2025,28(1):中插3,49-64,17.基金项目
This research was funded by National Key Research and Development Program of China[Grant No.2020YFA0608701],National Natural Science Foundation of China[Grant Nos.42101367 and 42201360],Natural Science Foundation of Fujian Province[Grant No.2021J05041],Fujian Forestry Science and Technology Key Project[Grant No.2022FKJ03],and Open Fund Project of the Academy of Carbon Neutrality of Fujian Normal University[Grant No.TZH2022-02]. ()