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| DOI | 10.1016/j.rse.2020.112102 |
| Terrestrial laser scanning in forest ecology: Expanding the horizon | |
| Calders K.; Adams J.; Armston J.; Bartholomeus H.; Bauwens S.; Bentley L.P.; Chave J.; Danson F.M.; Demol M.; Disney M.; Gaulton R.; Krishna Moorthy S.M.; Levick S.R.; Saarinen N.; Schaaf C.; Stovall A.; Terryn L.; Wilkes P.; Verbeeck H. | |
| 发表日期 | 2020 |
| ISSN | 00344257 |
| 卷号 | 251 |
| 英文摘要 | Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor and algorithm development have allowed us to assess in situ 3D forest structure explicitly and revolutionised the way we monitor and quantify ecosystem structure and function. Here, we provide an interdisciplinary focus to explore current developments in TLS to measure and monitor forest structure. We argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form. Furthermore, these new developments enable new applications such as radiative transfer modelling with realistic virtual forests, monitoring of urban forests and larger scale ecosystem monitoring through long-range scanning. Finally, we discuss upscaling of TLS data through data fusion with unmanned aerial vehicles, airborne and spaceborne data, as well as the essential role of TLS in validation of spaceborne missions that monitor ecosystem structure. © 2020 The Author(s) |
| 英文关键词 | Forest ecology; Forest plot measurement; Ground-based LiDAR; Remote sensing; Terrestrial laser scanning; Tree structure |
| 语种 | 英语 |
| scopus关键词 | Antennas; Data fusion; Ecosystems; Forestry; Laser applications; Scanning; Seebeck effect; Steel beams and girders; Algorithm development; Allometric scaling; Ecosystem monitoring; Ecosystem structure; Forest measurement; Metabolic function; Radiative transfer modelling; Terrestrial laser scanning; Surveying instruments; algorithm; ecosystem structure; forest ecosystem; laser method; satellite data; satellite sensor; stand structure |
| 来源期刊 | Remote Sensing of Environment
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179110 |
| 作者单位 | CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Belgium; European Space Agency, ESA-ESRIN, Frascati, 00044, Italy; Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States; Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, Wageningen, PB 6708, Netherlands; Forest is Life, Gembloux Agro-Bio Tech, University of Liège, Gembloux, 5030, Belgium; Department of Biology, Sonoma State University, 1801 E. Cotati Ave., Rohnert Park, CA 94928, United States; Laboratoire Evolution et Diversité Biologique UMR 5174 CNRS, IRD, Université Paul Sabatier, Toulouse, 31062, France; School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT, United Kingdom; Centre of Excellence PLECO (Plants and Ecosystems), Biology Department, University of Antwerp, Universiteitsplein 1, Wilrijk, B-2610, Belgium; UCL Department of Geography, Gower Street, Lo... |
| 推荐引用方式 GB/T 7714 | Calders K.,Adams J.,Armston J.,et al. Terrestrial laser scanning in forest ecology: Expanding the horizon[J],2020,251. |
| APA | Calders K..,Adams J..,Armston J..,Bartholomeus H..,Bauwens S..,...&Verbeeck H..(2020).Terrestrial laser scanning in forest ecology: Expanding the horizon.Remote Sensing of Environment,251. |
| MLA | Calders K.,et al."Terrestrial laser scanning in forest ecology: Expanding the horizon".Remote Sensing of Environment 251(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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