干旱区生态环境知识资源中心(Arid): Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora Y(Sw.) DC, Saudi Arabia

Arid

DOI	10.1515/geo-2020-0231
	Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora Y(Sw.) DC, Saudi Arabia
	Aldhebiani, Amal Y.; Elhag, Mohamed; Alshehri, Amjaad A.
通讯作者	Elhag, M (corresponding author), King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah 21589, Saudi Arabia. ; Elhag, M (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China. ; Elhag, M (corresponding author), German Univ Technol Oman, Fac Sci, Dept Appl Geosci, Muscat 1816, Oman.
来源期刊	OPEN GEOSCIENCES
ISSN	2391-5447
出版年	2021
卷号	13 期号:1 页码:280-292
英文摘要	Classification is the science that arranges organisms in groups according to their similarities and differences. In plant science, there are many aspects of classifications. For instance, there is morphological, anatomical, palynological, molecular, and chemical classification. All these types consume time, effort, and money. In this research, new technology is tested to identify the differences between plants. Spectroradiometer will help in classifying Prosopis juliflora (Sw.) DC in Bahrah region in Saudi Arabia. Spectroradiometer technology is applied to a sample of 40 taxa of P. juliflora in two different seasons. Within each sample site, measurements were taken at a high sun angle from 10:00 am to 2:00 pm. Results showed that spectroradiometer indicated the existence of significant differences among P. juliflora taxa. Correspondingly, the spectroradiometer engenders the spectral responses of the targeted species in the region between 400 and 2,500 nm wavelength. The spectral behavior of P. juliflora in four seasons was demonstrated as season dependent. The variance-based principal component analysis divided the investigated samples into two groups, either positively correlated or negatively correlated according to the seasonal data collection. Sample number 5 in the quantile's slicing analysis maintained a stable behavior when it was exposed to 100% wavelength. P. juliflora behavior was stabilized in the infrared (IR) samples (4,5), the shortwave IR (SWIR) (3,4,5), and thermal IT (TIR) (3,4,5,6) at the quantile range of >75. While in the quantile range <25, we found the stability behavior in the IR samples (2,8,10), the SWIR (2,7,8,10), and in TIR (2,7,8,10). Therefore, this approved that the spectroradiometer is useful as the first classification process. More studies are needed to support this finding, such as chemical and molecular investigations.
英文关键词	arid environments overlapped taxa phenology Prosopis juliflora spectral classification spectroradiometer
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000639020700001
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367880
作者单位	[Elhag, Mohamed] King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah 21589, Saudi Arabia; [Elhag, Mohamed] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China; [Elhag, Mohamed] German Univ Technol Oman, Fac Sci, Dept Appl Geosci, Muscat 1816, Oman; [Aldhebiani, Amal Y.; Alshehri, Amjaad A.] King Abdulaziz Univ, Fac Sci, Biol Sci Dept, Jeddah 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Aldhebiani, Amal Y.,Elhag, Mohamed,Alshehri, Amjaad A.. Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora Y(Sw.) DC, Saudi Arabia[J],2021,13(1):280-292.
APA	Aldhebiani, Amal Y.,Elhag, Mohamed,&Alshehri, Amjaad A..(2021).Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora Y(Sw.) DC, Saudi Arabia.OPEN GEOSCIENCES,13(1),280-292.
MLA	Aldhebiani, Amal Y.,et al."Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora Y(Sw.) DC, Saudi Arabia".OPEN GEOSCIENCES 13.1(2021):280-292.