Forest canopy height and biomass estimation based on LiDAR satellite (GEDI) in Guangdong province

doi:10.13474/j.cnki.11-2246.2023.0366

Abstract

Abstract: Forest canopy height and biomass estimation play an important role in estimating forest carbon expenditure. In this study, the forest canopy height and biomass in Guangdong province use the global ecosystem dynamics survey (GEDI) LiDAR satellite as the data source, regression tree and Kerry kin interpolation algorithm, respectively. The results show that the height of trees in Guangdong province is generally between 10 and 20 m, accounting for more than 50%. The tree height high value occurs in Shaoguan, Zhaoqing and other cities in northern Guangdong province, and the tree height is generally 15~20 m, while the average tree height in Zhanjiang city is the lowest, generally less than 10 m. The maximum forest biomass in Guangdong province is 335.85 t/hm², the minimum value is 5.25 t/hm², and the average value is 98.27 t/hm².The areas with high value of forest biomass are mainly distributed in the eastern and western Guangdong province, while the forest biomass is lower in the plain and urbanized areas of Guangdong province. The results provide a scientific basis for estimating carbon absorption of forest ecosystem in Guangdong province.

Key words: LiDAR satellite, Guangdong province, forest canopy height, biomass, estimation approach

CLC Number:

P237

WU Zhenjiang, ZHANG Jiahua. Forest canopy height and biomass estimation based on LiDAR satellite (GEDI) in Guangdong province[J]. Bulletin of Surveying and Mapping, 2023, 0(12): 102-105.

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