中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
UAV Data for herbaceous community' aboveground biomass upscaling: a new perspective on LiDAR and multispectral information fusion

文献类型:期刊论文

作者Liu, Bingxuan1,3; Ye, Huping1,2; Liao, Xiaohan1,2; Zhang, Xinyu1; Mao, Guozhu3; Pan, Tianli4
刊名INTERNATIONAL JOURNAL OF DIGITAL EARTH
出版日期2025-12-31
卷号18期号:1页码:2543563
关键词Multisource remote sensing UAV upscaling aboveground biomass herbaceous community
ISSN号1753-8947
DOI10.1080/17538947.2025.2543563
产权排序2
文献子类Article
英文摘要Large-scale aboveground biomass (AGB) monitoring based on remote sensing is crucial for herbaceous communities. This research fills the research gap of fusing LiDAR and multispectral fusion sensors for AGB upscaling, which addresses the scale mismatch between ground AGB measurements with satellite monitoring. The main contribution of this research is a new insight into fusing LiDAR and multispectral images for UAV AGB monitoring. The results show that average vegetation height (HMean) generated from LiDAR is the most important UAV-based feature for AGB modeling, followed by three other UAV multispectral features (kNDVI, NDVI_edge, and GNDVI). The HMean derived from LiDAR suffers from inevitable information loss. Comparing regression results using LiDAR-derived height only and using LiDAR and multispectral features against ground-measured vegetation height reveals that multispectral features can fill the height information loss. Based on the UAV-derived AGB, this research achieves AGB upscaling at the satellite images with a coefficient of determination equal to 0.73 and RMSE equal to 7.60 g/m2. This research can serve as a guideline for UAV-based AGB upscaling for herbaceous community.
URL标识查看原文
WOS关键词RESOLUTION
WOS研究方向Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:001550234400001
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/215602]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Ye, Huping; Pan, Tianli
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
2.Civil Aviat Adm China, Key Lab Low Altitude Geog Informat & Air Route, Beijing, Peoples R China;
3.Tianjin Univ, Sch Environm Sci & Engn, Tianjin, Peoples R China;
4.Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong 999077, Peoples R China
推荐引用方式
GB/T 7714
Liu, Bingxuan,Ye, Huping,Liao, Xiaohan,et al. UAV Data for herbaceous community' aboveground biomass upscaling: a new perspective on LiDAR and multispectral information fusion[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2025,18(1):2543563.
APA Liu, Bingxuan,Ye, Huping,Liao, Xiaohan,Zhang, Xinyu,Mao, Guozhu,&Pan, Tianli.(2025).UAV Data for herbaceous community' aboveground biomass upscaling: a new perspective on LiDAR and multispectral information fusion.INTERNATIONAL JOURNAL OF DIGITAL EARTH,18(1),2543563.
MLA Liu, Bingxuan,et al."UAV Data for herbaceous community' aboveground biomass upscaling: a new perspective on LiDAR and multispectral information fusion".INTERNATIONAL JOURNAL OF DIGITAL EARTH 18.1(2025):2543563.

入库方式: OAI收割

来源:地理科学与资源研究所

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