CCPortal
DOI10.1016/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
ISSN0034-4257
EISSN1879-0704
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
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。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yin, Dameng]的文章
[Wang, Le]的文章
[Lu, Ying]的文章
百度学术
百度学术中相似的文章
[Yin, Dameng]的文章
[Wang, Le]的文章
[Lu, Ying]的文章
必应学术
必应学术中相似的文章
[Yin, Dameng]的文章
[Wang, Le]的文章
[Lu, Ying]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。