利用Sentinel-3数据估算印度孟加拉湾东北海岸胡格利河红树林主导的热带河口区的叶绿素a、SPM和盐度

IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Aakash De, I. Mondal, S. Nandi, S. Thakur, M. Raman, T. De
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引用次数: 1

摘要

本研究旨在探讨印度孙德尔本斯西部3个河口水质参数的时空变化特征。长期以来,在各种具有广泛营养需求的水生生态系统中,可靠地获取叶绿素-a、SST和TSM等参数的近地表浓度一直是一个复杂的问题。在本研究中,C2RCC处理器已在内陆和沿海水域的不同生物光学制度中进行了准确性测试。采用C2RCC处理序列对同一时期的卫星影像进行分析,利用SNAP软件检索水体深度、表面反射率、水温、固有光学性质(IOPs)、盐度、叶绿素-a和总悬浮物(TSM)等参数值。在2017-2020年期间,对特定地点进行了现场采样和实验室水质分析。然后使用原位数据集对OLCI检索结果进行训练和验证。结果表明,2018年雨季前,钻石港的TSM含量最高(原位值301.40 mgL-1,估计值308.54 mgL-1)。同样,在季风季节,叶绿素-a在Fraserganj和Sagar南点的浓度较高(原位值3.03 mg m-3,估计值2.96 mg m-3)。在OLCI与原位结果的比较中,各季节Chl-a与TSM的拟合结果均很好,r = 0.829, r = 0.924。高水平的相关性突出了初级和次级数据在正确理解任何动态系统中的重要性。最后,结果表明,该水质模型优于传统技术以及OLCI chl-a和TSM产品。本文实证研究了一种可靠的估算沿海TSM和chl-a浓度的遥感方法,并支持OLCI数据在海洋颜色遥感中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Chlorophyll-a, SPM and Salinity in Mangrove Dominated Tropical Estuarine Areas of Hooghly River, North East Coast of Bay of Bengal, India Using Sentinel-3 Data
This study aims to explore the variations in spatial/Spatio-temporal characteristics of water quality parameters of three estuaries in the western part of the Indian Sundarbans. Reliable retrieval of near surface concentrations of parameters such as Chlorophyll-a, SST & TSM in various aquatic ecosystems with broad ranges of trophic needs has long been a complex issue. In this study the C2RCC processor has been applied that has been tested for its accuracy across different bio optical regimes in inland & coastal waters. Satellite images for the same period were also collected and analysed using the C2RCC processing sequence to retrieve values of parameters such as the depth of water, surface reflectance, water temperature, inherent optical properties (IOPs), salinity, chlorophyll-a and total suspended matter (TSM) using the SNAP software. During the 2017-2020 season, in situ sampling from specific locations and laboratory water quality analysis were carried out. The OLCI retrieved results were then trained and validated using the in situ datasets. It was observed that the highest amount of TSM was recorded in Diamond Harbour during the pre-monsoon, in the year 2018 (301.40 mgL-1 in-situ value, and 308.54 mg L-1 estimated value). Similarly, chlorophyll-a had higher concentrations during the monsoon season (3.03 mg m-3, in-situ, and 2.96 mg m-3, estimated) in Fraserganj and Sagar south points. Very good fitted correlation results for all seasons between Chl-a, r = 0.829 and TSM, r = 0.924 were found during the comparisons of OLCI and in situ results. The high level of correlation highlights the importance of both primary and secondary data in understanding any dynamic system properly. Finally, the result shows that the water quality model outperforms conventional techniques and OLCI chl-a and TSM products. This paper empirically investigates a reliable remote sensing method for estimating coastal TSM and chl-a concentrations and supports the use of OLCI data in ocean colour remote sensing.
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来源期刊
Acta Geophysica
Acta Geophysica 地学-地球化学与地球物理
CiteScore
3.90
自引率
13.00%
发文量
251
审稿时长
5.3 months
期刊介绍: Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.
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