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DOI码：10.1109/IGARSS53475.2024.10642637

发表刊物：IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

摘要：Aboveground biomass (AGB) is vital for assessing productivity and carbon storage. The area-based approach (ABA) and individual tree approach (ITA) are commonly used in remote sensing for AGB estimation, but their combined application remains underexplored. This study introduced a practical method that combined ABA and ITA using airborne laser scanning (ALS) data to estimate AGB of natural secondary forests of northeastern China. The results demonstrated that combining ABA and ITA features significantly enhanced AGB estimation accuracy. CNN achieved the highest accuracy and substantially improved compared to using ABA features alone. Among ITA features, tree height-related features were the most influential, and combining multiple types of ITA features proved to be more successful than using a single type. Therefore, using CNN based on ABA and all selected ITA features is recommended in practical applications. This method simplifies the complex ITA process and can be applied for large-scale, efficient forest inventory, sustainable forest management, and precise forest monitoring and protection in the future.

合写作者：Yinghui Zhao

第一作者：Feiyu Long

论文类型：期刊论文

通讯作者：Zhen Zhen*

页面范围：4226-4229

ISSN号：979-8-3503-6032-5

是否译文：否

发表时间：2024-01-01

收录刊物：EI