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Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets

Pan Liu Chunying Ren Zongming Wang Mingming Jia

地球空间信息科学学报（英文版）2026，Vol.29Issue(1)：中插10,211-231,22.

地球空间信息科学学报（英文版）2026，Vol.29Issue(1)：中插10,211-231,22.DOI:10.1080/10095020.2025.2516609

Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets

Pan Liu ¹Chunying Ren ²Zongming Wang ²Mingming Jia²

作者信息

1. Key Laboratory of Wetland Ecology and Environment,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun,China||University of Chinese Academy of Sciences,Beijing,China
2. Key Laboratory of Wetland Ecology and Environment,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun,China
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摘要

关键词

Aboveground biomass/tree species stratification/ICESat-2 LiDAR sampling/multi-source datasets

Key words

Aboveground biomass/tree species stratification/ICESat-2 LiDAR sampling/multi-source datasets

引用本文复制引用

Pan Liu,Chunying Ren,Zongming Wang,Mingming Jia..Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets[J].地球空间信息科学学报（英文版）,2026,29(1):中插10,211-231,22.

基金项目

This work is supported by the National Natural Science Foundation of China[grant number 42171367]and the Science&Technology Fundamental Resources Investigation Program[grant number 2022FY101902]. （）

地球空间信息科学学报（英文版）

ISSN：1009-5020

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