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DOI | 10.1016/j.rse.2024.114002 |
Mangrove tree height growth monitoring from multi-temporal UAV-LiDAR | |
Yin, Dameng; Wang, Le; Lu, Ying; Shi, Chen | |
发表日期 | 2024 |
ISSN | 0034-4257 |
EISSN | 1879-0704 |
起始页码 | 303 |
卷号 | 303 |
英文摘要 | Quantifying the mangrove height growth rate is important for understanding mangrove growth as well as its coupling with the other ecosystems and the climate. However, research on this topic has been limited due to the lack of multi-temporal data on mangrove tree height (TH) and methods for tree-level analysis. This study investigates the use of multi-year UAV-LiDAR data for mangrove TH growth characterization. We evaluated the UAV-LiDAR data by comparing it with field measured THs, observing a deviation ranging between -9 and +11 cm. Notably, the deviation was minimal at only 1 cm when comparing datasets collected using the same LiDAR sensor, indicating the validity of adopting multi-year UAV-LiDAR data for mangrove TH growth analysis. Methodologically, we assessed a tree-based approach and a grid-based approach. The tree-based approach is considered more feasible as it mirrors field measurements, allowing for direct comparisons with field surveys. In addition, statistically significant differences were revealed in TH growth rates among mangrove species and clumpiness groups (p < 0.001), while the invasion of Spartina alterniflora did not significantly affect the growth rates. This paper presents the inaugural effort in mangrove TH growth quantification using multi-temporal UAVLiDAR data, showcasing the potential of this quickly emerging remote sensing technique in individual mangrove change analysis. We proposed a recommended framework for UAV-LiDAR-based TH growth rate measurement. The limitations and uncertainties embedded in the data sources, methodology, and results interpretation were also discussed. |
英文关键词 | Mangrove; Growth rate; Multi-temporal; Unmanned aerial vehicle; LiDAR; Individual tree |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001178533200001 |
来源期刊 | REMOTE SENSING OF ENVIRONMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/300949 |
作者单位 | State University of New York (SUNY) System; State University of New York (SUNY) Buffalo; Chinese Academy of Agricultural Sciences; Institute of Crop Sciences, CAAS; Chinese Academy of Agricultural Sciences; Capital Normal University |
推荐引用方式 GB/T 7714 | Yin, Dameng,Wang, Le,Lu, Ying,et al. Mangrove tree height growth monitoring from multi-temporal UAV-LiDAR[J],2024,303. |
APA | Yin, Dameng,Wang, Le,Lu, Ying,&Shi, Chen.(2024).Mangrove tree height growth monitoring from multi-temporal UAV-LiDAR.REMOTE SENSING OF ENVIRONMENT,303. |
MLA | Yin, Dameng,et al."Mangrove tree height growth monitoring from multi-temporal UAV-LiDAR".REMOTE SENSING OF ENVIRONMENT 303(2024). |
条目包含的文件 | 条目无相关文件。 |
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