Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type
文献类型：期刊论文
| 作者 | Wang, Yao2; Fang, Hongliang2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-08-01 |
| 卷号 | 16期号:16页码:3078 |
| 关键词 | leaf area index (LAI) ICESat-2 airborne laser scanning (ALS) segment size beam type |
| DOI | 10.3390/rs16163078 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | The leaf area index (LAI) is a critical variable for forest ecosystem processes. Passive optical and active LiDAR remote sensing have been used to retrieve LAI. LiDAR data have good penetration to provide vertical structure distribution and deliver the ability to estimate forest LAI, such as the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2). Segment size and beam type are important for ICESat-2 LAI estimation, as they affect the amount of signal photons returned. However, the current ICESat-2 LAI estimation only covered a limited number of sites, and the performance of LAI estimation with different segment sizes has not been clearly compared. Moreover, ICESat-2 LAIs derived from strong and weak beams lack a comparative analysis. This study derived and evaluated LAI from ICESat-2 data over the National Ecological Observatory Network (NEON) sites in North America. The LAI estimated from ICESat-2 for different segment sizes (20, 100, and 200 m) and beam types (strong beam and weak beam) were compared with those from the airborne laser scanning (ALS) and the Copernicus Global Land Service (CGLS). The results show that the LAI derived from strong beams performs better than that of weak beams because more photon signals are received. The LAI estimated from the strong beam at the 200 m segment size shows the highest consistency with those from the ALS data (R = 0.67). Weak beams also present the potential to estimate LAI and have moderate agreement with ALS (R = 0.52). The ICESat-2 LAI shows moderate consistency with ALS for most forest types, except for the evergreen forest. The ICESat-2 LAI shows satisfactory agreement with the CGLS 300 m LAI product (R = 0.67, RMSE = 1.94) and presents a higher upper boundary. Overall, the ICESat-2 can characterize canopy structural parameters and provides the ability to estimate LAI, which may promote the LAI product generated from the photon-counting LiDAR. |
| WOS关键词 | LEAF-AREA INDEX ; VERTICAL FOLIAGE PROFILE ; PHOTON-COUNTING LIDAR ; WAVE-FORM LIDAR ; INFORMATION ; RETRIEVAL ; FOREST ; LAND |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001304783600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/208014]  |
| 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 | Wang, Yao |
| 作者单位 | 1.Chinese Acad Sci, LREIS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Chongqing Normal Univ, Sch Geog & Tourism, Chongqing Key Lab GIS Applicat, Chongqing 401331, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yao,Fang, Hongliang. Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type[J]. REMOTE SENSING,2024,16(16):3078. |
| APA | Wang, Yao,&Fang, Hongliang.(2024).Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type.REMOTE SENSING,16(16),3078. |
| MLA | Wang, Yao,et al."Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type".REMOTE SENSING 16.16(2024):3078. |
入库方式： OAI收割
来源：地理科学与资源研究所
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