干旱区生态环境知识资源中心(Arid): The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs

Arid

DOI	10.1016/j.mex.2021.101399
	The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs
	Abdullah, Meshal M.; Al-Ali, Zahraa M.; Srinivasan, Shruthi
通讯作者	Abdullah, MM (corresponding author), Texas A&M Univ, Dept Ecol & Conservat Biol, College Stn, TX 77843 USA. ; Abdullah, MM (corresponding author), Nat Environm Syst & Technol NEST Res Grp, Ecolife Sci Res & Consultat, Kuwait, Kuwait.
来源期刊	METHODSX
EISSN	2215-0161
出版年	2021
卷号	8
英文摘要	Unmanned Aerial Vehicles (UAVs) have started to receive more attention in the ecological field in the past 15 years, as they provide very high-resolution imagery that ranges from meters to millimeters. Very high-resolution multispectral imagery obtained from UAVs can help in assessing and monitoring native desert vegetation. Thus, this study use UAVs to develop a method to estimate the biomass and carbon stock of native desert shrubs. The method integrates different techniques and software to monitor native plants' coverage, biomass, and carbon stock. The techniques used in this work are also applicable for other native desert shrubs in the region and could support ecosystem managers in assessing and monitoring arid ecosystems and restoration and revegetation programs. A three-stage image and data management are discussed, including: (1) fieldwork and image acquisition using UAVs, (2) image pre-processing, and (3) image processing using different techniques and software. Determining shrub biomass is not restricted to multispectral data only but could be applicable for RGB data since it mainly depends on the DSM and DTM. Allometric parameters could help in estimating desert shrub biomass which could be measured easily and rapidly using UAV imagery. SVM Supervised classification could help in distinguishing between native shrubs and grasses. (C) 2021 Published by Elsevier B.V.
英文关键词	UAVs Annual plants Arid ecosystems Restoration ecology Remote sensing Plant-soil interaction Biomass carbon stock
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	ESCI
WOS记录号	WOS:000707187100013
WOS关键词	SUPPORT VECTOR MACHINES
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364162
作者单位	[Abdullah, Meshal M.] Texas A&M Univ, Dept Ecol & Conservat Biol, College Stn, TX 77843 USA; [Abdullah, Meshal M.; Al-Ali, Zahraa M.] Nat Environm Syst & Technol NEST Res Grp, Ecolife Sci Res & Consultat, Kuwait, Kuwait; [Srinivasan, Shruthi] Texas A&M Forest Serv, Dept Forest Analyt, Dallas, TX 75252 USA
推荐引用方式 GB/T 7714	Abdullah, Meshal M.,Al-Ali, Zahraa M.,Srinivasan, Shruthi. The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs[J],2021,8.
APA	Abdullah, Meshal M.,Al-Ali, Zahraa M.,&Srinivasan, Shruthi.(2021).The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs.METHODSX,8.
MLA	Abdullah, Meshal M.,et al."The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs".METHODSX 8(2021).