边缘海ICESat-2与MODIS水扩散衰减一致性分析——以中国海为例

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Zhenhua Zhang, Siqi Zhang, Michael J. Behrenfeld, Cédric Jamet, Paolo Di Girolamo, Davide Dionisi, Yongxiang Hu, Xiaomei Lu, Yuliang Pan, Minzhe Luo, Haiqing Huang, Delu Pan, Peng Chen
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In this study, we present an in-depth analysis of the consistency between diffuse attenuation coefficient (<span><span style=\"\"></span><span data-mathml='&lt;math xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;msub is=\"true\"&gt;&lt;mi is=\"true\"&gt;K&lt;/mi&gt;&lt;mi is=\"true\"&gt;d&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"2.317ex\" role=\"img\" style=\"vertical-align: -0.582ex;\" viewbox=\"0 -747.2 1319.7 997.6\" width=\"3.065ex\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"><g is=\"true\"><g is=\"true\"><use xlink:href=\"#MJMATHI-4B\"></use></g><g is=\"true\" transform=\"translate(849,-150)\"><use transform=\"scale(0.707)\" xlink:href=\"#MJMATHI-64\"></use></g></g></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub is=\"true\"><mi is=\"true\">K</mi><mi is=\"true\">d</mi></msub></math></span></span><script type=\"math/mml\"><math><msub is=\"true\"><mi is=\"true\">K</mi><mi is=\"true\">d</mi></msub></math></script></span>) detection from MODIS and ICESat-2 in China's Marginal Seas. Findings demonstrate that ICESat-2 possesses strong capabilities for the retrieval of the attenuation coefficient across differing aquatic environments. However, discrepancies exist between the lidar system attenuation coefficient obtained from ICESat-2 and the diffuse attenuation coefficient determined by MODIS, influenced by factors such as multiple scattering. Implementation of a novel multiple scattering correction model demonstrates a notable ability in significantly reducing the inconsistency. Validation with in-situ Biogeochemical Argo float measurements reveals an enhancement in the accuracy of lidar-derived diffuse attenuation coefficients upon correction, with the mean absolute percent difference between lidar-derived <span><span style=\"\"></span><span data-mathml='&lt;math xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;msub is=\"true\"&gt;&lt;mi is=\"true\"&gt;K&lt;/mi&gt;&lt;mi is=\"true\"&gt;d&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"2.317ex\" role=\"img\" style=\"vertical-align: -0.582ex;\" viewbox=\"0 -747.2 1319.7 997.6\" width=\"3.065ex\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"><g is=\"true\"><g is=\"true\"><use xlink:href=\"#MJMATHI-4B\"></use></g><g is=\"true\" transform=\"translate(849,-150)\"><use transform=\"scale(0.707)\" xlink:href=\"#MJMATHI-64\"></use></g></g></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub is=\"true\"><mi is=\"true\">K</mi><mi is=\"true\">d</mi></msub></math></span></span><script type=\"math/mml\"><math><msub is=\"true\"><mi is=\"true\">K</mi><mi is=\"true\">d</mi></msub></math></script></span> and Argo-<span><span style=\"\"></span><span data-mathml='&lt;math xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;msub is=\"true\"&gt;&lt;mi is=\"true\"&gt;K&lt;/mi&gt;&lt;mi is=\"true\"&gt;d&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"2.317ex\" role=\"img\" style=\"vertical-align: -0.582ex;\" viewbox=\"0 -747.2 1319.7 997.6\" width=\"3.065ex\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"><g is=\"true\"><g is=\"true\"><use xlink:href=\"#MJMATHI-4B\"></use></g><g is=\"true\" transform=\"translate(849,-150)\"><use transform=\"scale(0.707)\" xlink:href=\"#MJMATHI-64\"></use></g></g></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub is=\"true\"><mi is=\"true\">K</mi><mi is=\"true\">d</mi></msub></math></span></span><script type=\"math/mml\"><math><msub is=\"true\"><mi is=\"true\">K</mi><mi is=\"true\">d</mi></msub></math></script></span> decreasing from 26 % to 15.7 %. 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引用次数: 0

摘要

近年来的研究重点是利用星载光子计数激光雷达ATLAS/ICESat-2在全球尺度上计算公海上的衰减系数。然而,它在更容易受到人类活动影响的边缘海域的光学更复杂和多变的环境中的性能尚未得到验证。在这项研究中,我们深入分析了MODIS和ICESat-2在中国边缘海的散射衰减系数(KdKd)检测的一致性。结果表明,ICESat-2具有较强的反演不同水体环境衰减系数的能力。但是,受多次散射等因素的影响,ICESat-2获得的激光雷达系统衰减系数与MODIS确定的漫射衰减系数存在差异。实现了一种新的多重散射校正模型,可以显著减少不一致性。通过现场生物地球化学Argo浮子测量验证,激光雷达导出的散射衰减系数在校正后的精度有所提高,激光雷达导出的KdKd与Argo-KdKd之间的平均绝对百分比差从26%降至15.7%。建立的多重散射模型可以弥补被动和主动遥感探测之间的差距,提高激光雷达导出的衰减系数的可靠性。这两个任务的融合将大大提高海洋观测能力,为精确和全面评估海洋光环境提供前所未有的机会。这种方法对海洋科学和卫星遥感在环境研究中的应用具有广泛的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consistency analysis of water diffuse attenuation between ICESat-2 and MODIS in Marginal Sea: A case study in China Sea
Recent studies highlight the application of deriving the attenuation coefficient from spaceborne photon-counting lidar ATLAS/ICESat-2 over open oceans on global scales. However, its performance in the more optically complex and variable environments of marginal seas, which are more susceptible to human activity, has not been validated yet. In this study, we present an in-depth analysis of the consistency between diffuse attenuation coefficient (Kd) detection from MODIS and ICESat-2 in China's Marginal Seas. Findings demonstrate that ICESat-2 possesses strong capabilities for the retrieval of the attenuation coefficient across differing aquatic environments. However, discrepancies exist between the lidar system attenuation coefficient obtained from ICESat-2 and the diffuse attenuation coefficient determined by MODIS, influenced by factors such as multiple scattering. Implementation of a novel multiple scattering correction model demonstrates a notable ability in significantly reducing the inconsistency. Validation with in-situ Biogeochemical Argo float measurements reveals an enhancement in the accuracy of lidar-derived diffuse attenuation coefficients upon correction, with the mean absolute percent difference between lidar-derived Kd and Argo-Kd decreasing from 26 % to 15.7 %. The multiple scattering model developed can bridge the gap between the passive and active remote sensing detection and improve the reliability of lidar-derived attenuation coefficients. Fusing these two missions will greatly improve ocean observation capabilities, providing unprecedented opportunities for precise and comprehensive assessment of marine light environments. This approach has broad implications for ocean science and the application of satellite remote sensing in environmental studies.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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