Comparing the potential of tree-based and area-based forest height metrics for aboveground biomass estimation in complex forest landscapes

Author:

Liu Weiyan,Chen Yuling,Yang Haitao,Xu Guangcai,Yan Shiyu,Li Lingjun,Chen Ling,Guo Qinghua

Funder

National Key Research and Development Program of China

Key Technologies Research and Development Program

Publisher

Elsevier BV

Reference64 articles.

1. A Comparison of Modeling Methods for Predicting Forest Attributes Using Lidar Metrics;Adhikari;Remote Sens. (Basel),2023

2. Big-sized trees overrule remaining trees’ attributes and species richness as determinants of aboveground biomass in tropical forests;Ali;Glob. Chang. Biol.,2019

3. Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric;Asner;Remote Sens. Environ.,2014

4. Static site indices from different national forest inventories: harmonization and prediction from site conditions;Brandl;Ann. For. Sci.,2018

5. Beijing Municipal Commission of Planning and Natural Resources., 2020. Beijing Shallow Mountain Protection Plan (2017-2035). Beijing, China.

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