伊比利亚西海岸(WIC)沿岸水域的生物光学特性和海洋颜色卫星检索

IF 4.2 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Remote Sensing Pub Date : 2024-09-16 DOI:10.3390/rs16183440
Luciane Favareto, Natalia Rudorff, Vanda Brotas, Andreia Tracana, Carolina Sá, Carla Palma, Ana C. Brito
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引用次数: 0

摘要

海洋颜色等基本气候变量(ECVs)提供了有关海水中光学活性成分(OACs)的重要信息,如浮游植物、非藻类颗粒和有色溶解有机物(CDOM)。通过遥感估算这些成分所面临的挑战是如何准确区分和量化光学和生物地球化学特性,如吸收系数和叶绿素 a(Chla)浓度,尤其是在复杂水域。这项研究评估了伊比利亚西海岸(WIC)沿岸水域生物光学特性的时空变异性,有助于对卫星检索结果进行评估。分析了 2019-2020 年进行的三次跨季节海洋巡航的现场数据。使用半分析方法(QAA、GSM、GIOP)将实地测量的生物光吸收系数与海洋-颜色气候变化倡议(OC-CCI)反射率数据的卫星估计值进行了比较。主要研究结果表明,不同季节和地区的生物光学特性存在很大差异。新的生物光学系数改进了卫星数据检索,减少了不确定性,并提供了更可靠的浮游植物吸收估计值。这些结果突出表明,要准确捕捉沿岸水域独特的光学特征,就必须采用特定区域的算法。提高对生物光学变异性和检索技术的理解,为今后利用卫星海洋颜色数据进行研究和沿海环境监测提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-Optical Properties and Ocean Colour Satellite Retrieval along the Coastal Waters of the Western Iberian Coast (WIC)
Essential Climate Variables (ECVs) like ocean colour provide crucial information on the Optically Active Constituents (OACs) of seawater, such as phytoplankton, non-algal particles, and coloured dissolved organic matter (CDOM). The challenge in estimating these constituents through remote sensing is in accurately distinguishing and quantifying optical and biogeochemical properties, e.g., absorption coefficients and the concentration of chlorophyll a (Chla), especially in complex waters. This study evaluated the temporal and spatial variability of bio-optical properties in the coastal waters of the Western Iberian Coast (WIC), contributing to the assessment of satellite retrievals. In situ data from three oceanographic cruises conducted in 2019–2020 across different seasons were analyzed. Field-measured biogenic light absorption coefficients were compared to satellite estimates from Ocean-Colour Climate Change Initiative (OC-CCI) reflectance data using semi-analytical approaches (QAA, GSM, GIOP). Key findings indicate substantial variability in bio-optical properties across different seasons and regions. New bio-optical coefficients improved satellite data retrieval, reducing uncertainties and providing more reliable phytoplankton absorption estimates. These results highlight the need for region-specific algorithms to accurately capture the unique optical characteristics of coastal waters. Improved comprehension of bio-optical variability and retrieval techniques offers valuable insights for future research and coastal environment monitoring using satellite ocean colour data.
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来源期刊
Remote Sensing
Remote Sensing REMOTE SENSING-
CiteScore
8.30
自引率
24.00%
发文量
5435
审稿时长
20.66 days
期刊介绍: Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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