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
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| 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 |
| DOI | 10.1080/17538947.2025.2543563 |
| 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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