Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data
文献类型：期刊论文
| 作者 | Zheng, Guang1; Ma, Lixia1; He, Wei1; Eitel, Jan U. H.1; Moskal, L. Monika1; Zhang, Zhiyu1 |
| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
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| 出版日期 | 2016 |
| 卷号 | 54期号:3页码:1475-1487 |
| 关键词 | GROSS PRIMARY PRODUCTION HEIHE RIVER-BASIN TEMPORAL STABILITY QUALITY ASSESSMENT DATA ASSIMILATION SONIC ANEMOMETER BOUNDARY-LAYER SOIL-MOISTURE LAND-SURFACE MODIS GPP |
| 英文摘要 | The spatial distribution of the photosynthetic components of a forest canopy plays a key role in ecological related processes such as gas exchange, photosynthesis, and evapotranspiration through affecting radiation regimes of the forest canopy. However, quantitative evaluation of woody materials' contribution to effective leaf area index (LAIe) using 3-D terrestrial laser scanning (TLS) is a challenging work. In this paper, we first identified the differences between directional gap fraction (DGF) and angular gap fraction (AGF) and then developed a local geometric feature-based approach to automatically classify a TLS forest point cloud data (PCD) into three different classes, including nonphotosynthetic canopy components (i.e., stem and branch points), photosynthetic canopy components (i.e., leaf and grass points), and bare ground. In addition, we proposed a new approach named 'radial hemispherical point cloud slicing' algorithm to investigate the 3-D spatial distribution of foliage elements and retrieve LAIe from a given forest PCD. Our results showed that nonphotosynthetic canopy components contributed from 19% to 54% to LAIe depending on various forest densities. Moreover, TLS-based LAIe estimates can explain 74.27% variations of digital-hemispherical-photography-based LAIe values with a linear regression statistical model. This paper provides a theoretical foundation for LAI estimation based on the PCD generated using the TLS system and facilitates the application of TLS on retrieving 3-D forest canopy structural biophysical parameters. © 1980-2012 IEEE. |
| 学科主题 | Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20154401478842 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39542]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. International Institute for Earth System Science, Nanjing University, Nanjing, China 2. Geospatial Laboratory for Environmental Dynamics, University of Idaho, Moscow 3.ID, United States 4. McCall Outdoor Science School, University of Idaho, McCall 5.ID, United States 6. Remote Sensing and Geospatial Analysis Laboratory, Precision Forestry Cooperative, School of Environment and Forest Sciences, University of Washington, Seattle 7.WA, United States 8. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Zheng, Guang,Ma, Lixia,He, Wei,et al. Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(3):1475-1487. |
| APA | Zheng, Guang,Ma, Lixia,He, Wei,Eitel, Jan U. H.,Moskal, L. Monika,&Zhang, Zhiyu.(2016).Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data.IEEE Transactions on Geoscience and Remote Sensing,54(3),1475-1487. |
| MLA | Zheng, Guang,et al."Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data".IEEE Transactions on Geoscience and Remote Sensing 54.3(2016):1475-1487. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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