Application and progress of water colour remote sensing technology in monitoring chlorophyll concentration changes in seawater

Hengpan Zhang, Jiahua Li
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Abstract

This paper provides an in-depth discussion on the application and progress of water colour remote sensing technology in monitoring changes in chlorophyll concentration in seawater. The hydrochromatic remote sensing technique uses spectral data acquired by remote sensing satellites and airborne platforms to monitor and analyse the distribution of marine chlorophyll, which is of great significance for understanding and protecting marine ecosystems. The article first introduces the basic principles and development history of this technology, and then discusses in detail its applications in global ocean monitoring, including resource management, environmental assessment, and ecological protection. In the discussion, we highlight the advantages of water colour remote sensing technology in providing large-scale and efficient ocean monitoring, while also pointing out the challenges it faces in terms of data accuracy, atmospheric disturbance handling and algorithm development. In particular, these challenges are gradually being overcome with the application of advanced computational techniques, such as machine learning and artificial intelligence, resulting in significant improvements in monitoring accuracy and efficiency. Finally, this paper looks at the future direction of water colour remote sensing technology, including technological innovation, data integration and interdisciplinary collaboration, highlighting the potential value of this technology in addressing global climate change and marine environmental protection. Through this comprehensive analysis, we have gained a deeper understanding and appreciation of the important role of water colour remote sensing technology in global ocean monitoring and management.
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水色遥感技术在监测海水叶绿素浓度变化中的应用及进展情况
本文深入探讨了水色遥感技术在监测海水叶绿素浓度变化方面的应用和进展。水色遥感技术利用遥感卫星和机载平台获取的光谱数据来监测和分析海洋叶绿素的分布,对了解和保护海洋生态系统具有重要意义。文章首先介绍了这项技术的基本原理和发展历程,然后详细讨论了它在全球海洋监测中的应用,包括资源管理、环境评估和生态保护。在讨论中,我们强调了水色遥感技术在提供大规模高效海洋监测方面的优势,同时也指出了其在数据精度、大气干扰处理和算法开发方面面临的挑战。特别是,随着机器学习和人工智能等先进计算技术的应用,这些挑战正逐步被克服,从而显著提高了监测精度和效率。最后,本文展望了水色遥感技术的未来发展方向,包括技术创新、数据整合和跨学科合作,强调了这一技术在应对全球气候变化和海洋环境保护方面的潜在价值。通过综合分析,我们对水色遥感技术在全球海洋监测和管理中的重要作用有了更深的理解和认识。
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