Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery
文献类型：期刊论文
| 作者 | Ma, Qin; Su, Yanjun; Guo, Qinghua2
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| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2017 |
| 卷号 | 10期号:9页码:4225-4236 |
| 关键词 | Canopy cover light detection and ranging (LiDAR) National Agricultural Imagery Program WorldView-2 |
| ISSN号 | 1939-1404 |
| DOI | 10.1093/pcp/pcw204 |
| 文献子类 | Article |
| 英文摘要 | Canopy cover is an important forest structure parameter for many applications in ecology, hydrology, and forest management. Light detection and ranging (LiDAR) is a promising tool for estimating canopy cover because it can penetrate forest canopy. Various algorithms have been developed to calculate canopy cover from LiDAR data. However, little attention was paid to evaluating how different factors, such as estimation algorithm, LiDAR point density and scan angle, influence canopy cover estimates; and how LiDAR-derived canopy cover differs from estimates using traditional methods, such as field measurements, aerial and satellite imagery. In this study, we systematically compared canopy cover estimations from LiDAR data, quick field measurements, aerial imagery, and satellite imagery using different algorithms. The results show that LiDAR-derived canopy cover estimates are marginally influenced by the estimation algorithms. LiDAR data with a point density of 1 point/m(2) can generate comparable canopy cover estimates to data with a higher density. The uncertainty of canopy cover estimates from LiDAR data increased drastically as scan angles exceed 12 degrees. Plot-level canopy cover estimates derived from quick field measurements do not have strong correlation with LiDAR-derived estimations. Both the aerial imagery-derived and satellite imagery-derived canopy cover estimates are comparable to LiDAR-derived canopy cover estimates at the forest stand scale, but tend to be overestimated in sparse forests and be underestimated in dense forests, particularly for the aerial imagery-derived estimates. The results from this study can provide practical guidance for the selection of data sources, sampling schemes, and estimation methods in regional canopy cover mapping. |
| 学科主题 | Plant Sciences ; Cell Biology |
| 出版地 | PISCATAWAY |
| 电子版国际标准刊号 | 2151-1535 |
| WOS关键词 | SMALL-FOOTPRINT ; ABOVEGROUND BIOMASS ; INDIVIDUAL TREES ; SAMPLING DENSITY ; PULSE DENSITY ; POINT DENSITY ; FOREST ; LASER ; METRICS ; PARAMETERS |
| 语种 | 英语 |
| WOS记录号 | WOS:000397159200001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31270563] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077] ; US Department of Agriculture Forest Service Pacific Southwest Research StationUnited States Department of Agriculture (USDA)United States Forest Service |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/22156]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA |
| 推荐引用方式 GB/T 7714 | Ma, Qin,Su, Yanjun,Guo, Qinghua. Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2017,10(9):4225-4236. |
| APA | Ma, Qin,Su, Yanjun,&Guo, Qinghua.(2017).Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,10(9),4225-4236. |
| MLA | Ma, Qin,et al."Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 10.9(2017):4225-4236. |
入库方式： OAI收割
来源：植物研究所
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