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A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests

Ye Ma Jungho Im Zhen Zhen Yinghui Zhao

地球空间信息科学学报（英文版）2025，Vol.28Issue(1)：中插6,97-116,21.

地球空间信息科学学报（英文版）2025，Vol.28Issue(1)：中插6,97-116,21.DOI:10.1080/10095020.2024.2449447

A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests

Ye Ma ¹Jungho Im ²Zhen Zhen ³Yinghui Zhao³

作者信息

1. Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education,School of Forestry,Northeast Forestry University,Harbin,China||Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions,College of Geographical Sciences,Harbin Normal University,Harbin,China
2. Department of Civil,Urban,Earth,and Environmental Engineering,Ulsan National Institute of Science and Technology,Ulsan,South Korea
3. Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education,School of Forestry,Northeast Forestry University,Harbin,China
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摘要

关键词

Aboveground biomass/secondary forests/individual tree-based approach/uncertainty analysis/nonlinear simultaneous equation

Key words

Aboveground biomass/secondary forests/individual tree-based approach/uncertainty analysis/nonlinear simultaneous equation

引用本文复制引用

Ye Ma,Jungho Im,Zhen Zhen,Yinghui Zhao..A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests[J].地球空间信息科学学报（英文版）,2025,28(1):中插6,97-116,21.

基金项目

This work is supported by the Key Project of the China National Key Research and Development Program[grant number 2021YFD2200401],the National Natural Science Foundation of China[grant number 32071677],the National Forestry and Grassland Data Center-Heilongjiang platform[grant number 2005DKA32200-OH],and Korea Environment Industry&Technology Institute(KEITI)through Project for developing an observation-based GHG emissions geospatial information map,funded by Korea Ministry of Environment(MOE)[grant number RS-2023-00232066]. （KEITI）

地球空间信息科学学报（英文版）

ISSN：1009-5020

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