Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands

doi:10.1016/j.agrformet.2014.07.008

	Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands
	Tao, Shengli 1; Guo, Qinghua2 ; Li, Le ; Xue, Baolin ; Kelly, Maggi 3; Li, Wenkai 2; Xu, Guangcai ; Su, Yanjun 2
	2014
发表期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
卷号	198 页码:24-32
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.
关键词	Lidar Aboveground biomass Crown volume Individual tree segmentation
学科领域	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
DOI	10.1016/j.agrformet.2014.07.008
收录类别	SCI
语种	英语
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
WOS记录号	WOS:000343845900004
出版者	ELSEVIER SCIENCE BV
文献子类	Article
出版地	AMSTERDAM
EISSN	1873-2240
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
作者邮箱	qguo@ucmerced.edu
引用统计	被引频次：54[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	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.

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