干旱区生态环境知识资源中心(Arid): Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar

Arid

DOI	10.1016/j.rsma.2022.102680
	Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
	Rajendran, Sankaran; Al-Naimi, Noora; Khayat, Jassim A. Al; Sorino, Caesar Flonasca; Sadooni, Fadhil N.; Al Kuwari, Hamad Al Saad
通讯作者	Rajendran, S
来源期刊	REGIONAL STUDIES IN MARINE SCIENCE
ISSN	2352-4855
出版年	2022
卷号	56
英文摘要	Remote sensing of spectrally active Chlorophyll-a (Chl-a) in the gulf water of an arid region is important to understand the spatial and temporal variations of phytoplankton and biomass in the water. This study characterizes the spectral absorption of Chl-a and detects and maps the Chl-a of Al Arish-Al Ghariyah coastal region of northern Qatar using the data of Hyperion of EO-1, MultiSpectral Instrument (MSI) of Sentinel-2, and Operational Land Imager (OLI) of Landsat-8 satellites. The study of image spectra of Chl-a of coastal water of the Al Ghariyah region using the Hyperion image showed spectral band absorptions near 450 and 475 nm in the blue region and around 640, 730, 760, and 830 nm in the red region. The analysis of Hyperion data using image spectra by linear spectral unmixing (LSU) method showed the occurrence of Chl-a in very shallow and shallow water. The mapping of Chl-a of the Al Arish-Al Ghariyah coastal region was carried out using MSI and OLI data by NDCI, 2BDA, 3BDA, and FLH violet algorithms, which showed the concentrations and distributions of the Chl-a in the region. The performance of the algorithms was studied using WorldView-3 data, which provided the R-2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. All the results were validated using field measurements, in-situ measurements, and laboratory analyses of field samples. The measurements of Chl-a showed the occurrence of poor occurrence of Chl-a and confirmed the imagery results. The remote sensing results with physical and chemical parameters of water samples allowed us to assess Chl-a concentrations in the region. This study evaluates the sensor's capability and applications of satellite data and algorithms to map concentrations of Chl-a in the Gulf waters of the arid region. (C) 2022 The Author(s). Published by Elsevier B.V.
英文关键词	Chlorophyll-a Hyperion Sentinel-2 Landsat-8 Algorithms Qatar Arabian Gulf
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000878326800006
WOS关键词	INHERENT OPTICAL-PROPERTIES ; REMOTE ESTIMATION ; INLAND WATERS ; ABU-DHABI ; 700 NM ; ALGORITHMS ; REFLECTANCE ; TEMPERATURE ; VARIABILITY ; CIRCULATION
WOS类目	Ecology ; Marine & Freshwater Biology
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394113
推荐引用方式 GB/T 7714	Rajendran, Sankaran,Al-Naimi, Noora,Khayat, Jassim A. Al,et al. Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar[J],2022,56.
APA	Rajendran, Sankaran,Al-Naimi, Noora,Khayat, Jassim A. Al,Sorino, Caesar Flonasca,Sadooni, Fadhil N.,&Al Kuwari, Hamad Al Saad.(2022).Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar.REGIONAL STUDIES IN MARINE SCIENCE,56.
MLA	Rajendran, Sankaran,et al."Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar".REGIONAL STUDIES IN MARINE SCIENCE 56(2022).