Arid
DOI10.1016/j.ecolind.2018.06.062
Trunk volume prediction of individual Populus euphratica trees based on point clouds analysis
Huang, Yunmei1,2; Hou, Songlin2,3; Ling, Hongbo1; Xu, Hailiang1
通讯作者Ling, Hongbo
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2018
卷号95页码:964-971
英文摘要

The Populus euphratica is one of the most important plant species for maintaining desert riparian forests in the lower reaches of Tarim River. Estimation and analysing of trunk volume of trees are crucial to the evaluation of forests biomass and ecosystem services. Although many approaches to estimating trunk volumes have been proposed, they are usually not only labour intensive but also destructive and therefore not feasible for such protected species as P. euphratica. There are two main contributions in this paper: First, we propose a new framework to calculate the volume of tree trunks using point clouds with a deep camera in a Tango smartphone and a Google Play app. Second, a mathematical model is provided for predicting trunk volume based on the relationship between trunk volumes and morphological characteristics. The proposed framework can also deal with irregularly shaped tree trunks. The non-destructive method, which uses an easily accessible and low-cost device, can make a significant contribution to protecting desert riparian forests and is also applicable to other tree species.


英文关键词3D scanner Mobile phone The Tarim River Irregularly shaped trunks Morphological feature
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000456907400094
WOS关键词ABOVEGROUND FOREST BIOMASS ; NONDESTRUCTIVE METHOD ; LIDAR DATA ; TERRESTRIAL ; MODELS ; PRODUCTIVITY ; AIRBORNE ; TARIM ; PINE
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/208756
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China;
2.Univ Chinses Acad Sci, Beijing 100049, Peoples R China;
3.Chengdu Comp Applicat Inst, Chengdu 610000, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Huang, Yunmei,Hou, Songlin,Ling, Hongbo,et al. Trunk volume prediction of individual Populus euphratica trees based on point clouds analysis[J]. 中国科学院新疆生态与地理研究所,2018,95:964-971.
APA Huang, Yunmei,Hou, Songlin,Ling, Hongbo,&Xu, Hailiang.(2018).Trunk volume prediction of individual Populus euphratica trees based on point clouds analysis.ECOLOGICAL INDICATORS,95,964-971.
MLA Huang, Yunmei,et al."Trunk volume prediction of individual Populus euphratica trees based on point clouds analysis".ECOLOGICAL INDICATORS 95(2018):964-971.
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