Arid
DOI10.3390/plants10050977
The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the Rhanterium epapposum Community for Long-Term Monitoring in Desert Ecosystems
Abdullah, Meshal M.; Al-Ali, Zahraa M.; Abdullah, Mansour T.; Al-Anzi, Bader
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), Ecolife Sci Res & Consultat, Nat Environm Syst & Technol NEST Res Grp, Hawally 30002, Kuwait. ; Al-Anzi, B (corresponding author), Kuwait Univ, Coll Life Sci, Dept Environm Technol & Management, Kuwait 13060, Kuwait.
来源期刊PLANTS-BASEL
EISSN2223-7747
出版年2021
卷号10期号:5
英文摘要The rapid assessment and monitoring of native desert plants are essential in restoration and revegetation projects to track the changes in vegetation patterns in terms of vegetation coverage and structure. This work investigated advanced vegetation monitoring methods utilizing UAVs and remote sensing techniques at the Al Abdali protected site in Kuwait. The study examined the effectiveness of using UAV techniques to assess the structure of desert plants. We specifically examined the use of very-high-resolution aerial imagery to estimate the vegetation structure of Rhanterium epapposum (perennial desert shrub), assess the vegetation cover density changes in desert plants after rainfall events, and investigate the relationship between the distribution of perennial shrub structure and vegetation cover density of annual plants. The images were classified using supervised classification techniques (the SVM method) to assess the changes in desert plants after extreme rainfall events. A digital terrain model (DTM) and a digital surface model (DSM) were also generated to estimate the maximum shrub heights. The classified imagery results show that a significant increase in vegetation coverage occurred in the annual plants after rainfall events. The results also show a reasonable correlation between the shrub heights estimated using UAVs and the ground-truth measurements (R-2 = 0.66, p < 0.01). The shrub heights were higher in the high-cover-density plots, with coverage >30% and an average height of 77 cm. However, in the medium-cover-density (MD) plots, the coverage was <30%, and the average height was 52 cm. Our study suggests that utilizing UAVs can provide several advantages to critically support future ecological studies and revegetation and restoration programs in desert ecosystems.
英文关键词unmanned aerial vehicles (UAVs) multispectral sensors arid ecosystems ecological monitoring and assessment restoration plant heights
类型Article
语种英语
开放获取类型gold, Green Published
收录类别SCI-E
WOS记录号WOS:000654548000001
WOS关键词FOREST ABOVEGROUND BIOMASS ; SUPPORT VECTOR MACHINES ; PLANT-SOIL INTERACTIONS ; VEGETATION HEIGHT ; CANOPY HEIGHT ; CARBON STOCKS ; INDEXES ; GROWTH ; DIVERSITY ; IMPACT
WOS类目Plant Sciences
WOS研究方向Plant Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351363
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.; Abdullah, Mansour T.] Ecolife Sci Res & Consultat, Nat Environm Syst & Technol NEST Res Grp, Hawally 30002, Kuwait; [Abdullah, Mansour T.] Publ Author Appl Educ & Training, Sci Dept, Coll Basic Educ, Kuwait 12064, Kuwait; [Al-Anzi, Bader] Kuwait Univ, Coll Life Sci, Dept Environm Technol & Management, Kuwait 13060, Kuwait
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GB/T 7714
Abdullah, Meshal M.,Al-Ali, Zahraa M.,Abdullah, Mansour T.,et al. The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the Rhanterium epapposum Community for Long-Term Monitoring in Desert Ecosystems[J],2021,10(5).
APA Abdullah, Meshal M.,Al-Ali, Zahraa M.,Abdullah, Mansour T.,&Al-Anzi, Bader.(2021).The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the Rhanterium epapposum Community for Long-Term Monitoring in Desert Ecosystems.PLANTS-BASEL,10(5).
MLA Abdullah, Meshal M.,et al."The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the Rhanterium epapposum Community for Long-Term Monitoring in Desert Ecosystems".PLANTS-BASEL 10.5(2021).
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