Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands
文献类型:期刊论文
作者 | Tao, Shengli1; Guo, Qinghua2![]() |
刊名 | AGRICULTURAL AND FOREST METEOROLOGY
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出版日期 | 2014 |
卷号 | 198页码:24-32 |
关键词 | Lidar Aboveground biomass Crown volume Individual tree segmentation |
ISSN号 | 0168-1923 |
DOI | 10.1016/j.agrformet.2014.07.008 |
文献子类 | Article |
英文摘要 | Estimating aboveground biomass (AGB) is essential to quantify the carbon balance of terrestrial ecosystems, and becomes increasingly important under changing global climate. Volume metrics of individual trees, for example stem volume, have been proven to be strongly correlated to AGB. In this paper, we compared a range of airborne Lidar-derived volume metrics (i.e. stem volume, crown volume under convex hull, and crown volume under Canopy Height Model (CHM)) to estimate AGB. In addition, we evaluated the effect of horizontal crown overlap (which is often neglected in Lidar literature) on the accuracy of AGB estimation by using a hybrid method that combined marker-controlled watershed segmentation and point cloud segmentation algorithms. Our results show that: (1) when the horizontal crown overlap issue was not addressed, models based on point cloud segmentation outperformed models based on marker-controlled watershed segmentation; models using stem volume estimated AGB more accurately than models using crown volume under convex hull and crown volume under CHM. (2) Once the horizontal crown overlap issue was taken into consideration, the model using crown volume under CHM yielded a more accurate estimation of AGB. Our study provides a comprehensive evaluation of the use of airborne Lidar-derived volume metrics for AGB estimation and could help researchers choose the appropriate airborne Lidar-derived volume metric. Moreover, the results also indicate that horizontal crown overlap should be addressed when the airborne Lidar-derived forest crown volume is used for estimating AGB. (C) 2014 Elsevier B.V. All rights reserved. |
学科主题 | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
出版地 | AMSTERDAM |
电子版国际标准刊号 | 1873-2240 |
WOS关键词 | INDIVIDUAL TREES ; CANOPY STRUCTURE ; FOREST BIOMASS ; CROWN DIAMETER ; POINT CLOUD ; STEM VOLUME ; HEIGHT ; SEGMENTATION ; INVENTORY ; EQUATIONS |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000343845900004 |
出版者 | ELSEVIER SCIENCE BV |
资助机构 | USDA Forest Service Region 5 ; USDA Forest Service Pacific Southwest Research Station ; US Fish and Wildlife Service ; California Department of Water Resources ; California Department of Fish and Game ; California Department of Forestry and Fire Protection ; Sierra Nevada Conservancy ; Directorate For Geosciences [1339015] Funding Source: National Science Foundation |
源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/27136] ![]() |
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.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing 100871, Peoples R China 3.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA 4.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA |
推荐引用方式 GB/T 7714 | Tao, Shengli,Guo, Qinghua,Li, Le,et al. Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands[J]. AGRICULTURAL AND FOREST METEOROLOGY,2014,198:24-32. |
APA | Tao, Shengli.,Guo, Qinghua.,Li, Le.,Xue, Baolin.,Kelly, Maggi.,...&Su, Yanjun.(2014).Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands.AGRICULTURAL AND FOREST METEOROLOGY,198,24-32. |
MLA | Tao, Shengli,et al."Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands".AGRICULTURAL AND FOREST METEOROLOGY 198(2014):24-32. |
入库方式: OAI收割
来源:植物研究所
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