干旱区生态环境知识资源中心(Arid): Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia

Arid

DOI	10.3390/w11030556
	Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia
	Elhag, Mohamed 1; Gitas, Ioannis 2; Othman, Anas 1; Bahrawi, Jarbou 1; Gikas, Petros 3
通讯作者	Elhag, Mohamed
来源期刊	WATER
EISSN	2073-4441
出版年	2019
卷号	11 期号:3
英文摘要	Remote sensing applications in water resources management are quite essential in watershed characterization, particularly when mega basins are under investigation. Water quality parameters help in decision making regarding the further use of water based on its quality. Water quality parameters of chlorophyll a concentration, nitrate concentration, and water turbidity were used in the current study to estimate the water quality parameters in the dam lake of Wadi Baysh, Saudi Arabia. Water quality parameters were collected daily over 2 years (2017-2018) from the water treatment station located within the dam vicinity and were correspondingly tested against remotely sensed water quality parameters. Remote sensing data were collected from Sentinel-2 sensor, European Space Agency (ESA) on a satellite temporal resolution basis. Data were pre-processed then processed to estimate the maximum chlorophyll index (MCI), green normalized difference vegetation index (GNDVI) and normalized difference turbidity index (NDTI). Zonal statistics were used to improve the regression analysis between the spatial data estimated from the remote sensing images and the nonspatial data collected from the water treatment plant. Results showed different correlation coefficients between the ground truth collected data and the corresponding indices conducted from remote sensing data. Actual chlorophyll a concentration showed high correlation with estimated MCI mean values with an R-2 of 0.96, actual nitrate concentration showed high correlation with the estimated GNDVI mean values with an R-2 of 0.94, and the actual water turbidity measurements showed high correlation with the estimated NDTI mean values with an R-2 of 0.94. The research findings support the use of remote sensing data of Sentinel-2 to estimate water quality parameters in arid environments.
英文关键词	green normalized difference vegetation index (GNDVI) maximum chlorophyll index (MCI) normalized difference turbidity index (NDTI) Sentinel-2
类型	Article
语种	英语
国家	Saudi Arabia ; Greece
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000464534200007
WOS关键词	SUSPENDED PARTICULATE MATTER ; LEAF-AREA INDEX ; RED-EDGE BANDS ; CYANOBACTERIAL BLOOMS ; CHLOROPHYLL CONTENT ; TURBID WATERS ; CORN ; CROP ; EFFICIENCY ; ALGORITHM
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219185
作者单位	1.King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah 21589, Saudi Arabia; 2.Aristotle Univ Thessaloniki, Sch Forestry & Nat Environm, Lab Forest Management & Remote Sensing, Thessaloniki 54124, Greece; 3.Tech Univ Crete, Sch Environm Engn, Khania 73100, Greece
推荐引用方式 GB/T 7714	Elhag, Mohamed,Gitas, Ioannis,Othman, Anas,et al. Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia[J],2019,11(3).
APA	Elhag, Mohamed,Gitas, Ioannis,Othman, Anas,Bahrawi, Jarbou,&Gikas, Petros.(2019).Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia.WATER,11(3).
MLA	Elhag, Mohamed,et al."Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia".WATER 11.3(2019).