干旱区生态环境知识资源中心(Arid): Analysis of true-color images from unmanned aerial vehicle to assess salinity stress on date palm

Arid

DOI	10.1117/1.JRS.13.034514
	Analysis of true-color images from unmanned aerial vehicle to assess salinity stress on date palm
	Al-Rahbi, Sawsana 1; Al-Mulla, Yaseen A.1,2; Jayasuriya, Hemanatha 1; Choudri, Bheemanagoud 3
通讯作者	Al-Rahbi, Sawsana
来源期刊	JOURNAL OF APPLIED REMOTE SENSING
ISSN	1931-3195
出版年	2019
卷号	13 期号:3
英文摘要	Soils in arid countries predominantly suffer from salinity and drought related to environmental problems that can lead to crop stress and low productivity. In this study, true-color aerial images from an unmanned aerial vehicle were used to assess the effect of soil and water salinity on date palm growth. Random soil samples (n = 75) and irrigation water samples were collected from five sites and chemically analyzed. The custom algorithms were developed in ENVI (R) and MATLAB.(R) Green leaf index (GLI) was implemented to determine crop canopy attributes. Two segmentation methods namely between-class variance and foreground pixels were used to recognize the vegetation cover from other image pixels. The image analysis demonstrated that the mean value of GLI increased as the salinity levels decreased, R = 0.96 and 0.92 for soil electrical conductivity (EC) and water EC, respectively. The percentage of area covered with vegetation was correlated to soil EC and water EC with about 70% accuracy. On the other hand, the percentage of area covered with palm trees only was used accurately to evaluate the soil EC by R-2 = 0.89 and the water EC by R-2 = 0.86. The findings of this research can set foundations for the development of aerial color imaging on salinity stressed date palm monitoring, providing useful information for decision makers on salinity management. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
英文关键词	date palm green leaf index salinity stress unmanned aerial vehicle vegetation cover remote sensing
类型	Article
语种	英语
国家	Oman
收录类别	SCI-E
WOS记录号	WOS:000481497400002
WOS关键词	PHOENIX-DACTYLIFERA L. ; PRECISION AGRICULTURE ; VEGETATION INDEXES ; GROWTH ; IRRIGATION
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216700
作者单位	1.Sultan Qaboos Univ, Coll Agr & Marine Sci, Dept Soils Water & Agr Engn, Muscat, Oman; 2.Sultan Qaboos Univ, Remote Sensing & GIS Res Ctr, Muscat, Oman; 3.Sultan Qaboos Univ, Ctr Environm Studies & Res, Muscat, Oman
推荐引用方式 GB/T 7714	Al-Rahbi, Sawsana,Al-Mulla, Yaseen A.,Jayasuriya, Hemanatha,et al. Analysis of true-color images from unmanned aerial vehicle to assess salinity stress on date palm[J],2019,13(3).
APA	Al-Rahbi, Sawsana,Al-Mulla, Yaseen A.,Jayasuriya, Hemanatha,&Choudri, Bheemanagoud.(2019).Analysis of true-color images from unmanned aerial vehicle to assess salinity stress on date palm.JOURNAL OF APPLIED REMOTE SENSING,13(3).
MLA	Al-Rahbi, Sawsana,et al."Analysis of true-color images from unmanned aerial vehicle to assess salinity stress on date palm".JOURNAL OF APPLIED REMOTE SENSING 13.3(2019).