ASSESSING FOREST GROWTH DYNAMIC CHANGES USING BI-TEMPORAL AIRBORNE LIDAR DATA

被引：0
|
作者：
Yu, Zhexiu [1 ]
Qi, Jianbo [1 ,2 ]
Huang, Huaguo [1 ]
机构：
[1] Beijing Forestry Univ, Coll Forestry, Beijing, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China
来源：
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年
关键词：
airborne laser scanning; tree growth; multi-temporal; statistical distribution; MULTITEMPORAL LIDAR;
D O I：
10.1109/IGARSS52108.2023.10283147
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Estimating change in tree growth is important for monitoring forest dynamics, even the whole terrestrial ecosystem. Multi-temporal airborne laser scanning data had been used to accurately assess and predict change in forest attributes such as aboveground biomass (AGB), aboveground carbon density (ACD) and forest growth. In this study, we assessed the ability of dual-temporal airborne laser scanning data and dual-date to analyze forest growth change in Greater Khingan Mountains, Northeastern China.
引用
收藏
页码：3315 / 3317
页数：3
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