全球海洋颗粒后向散射系数的空间高光谱分辨率激光雷达 ACDL/DQ-1 测量结果

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2024-10-02 DOI:10.1016/j.rse.2024.114444
Yichen Yang , Yudi Zhou , Iwona S. Stachlewska , Yongxiang Hu , Xiaomei Lu , Weibiao Chen , Jiqiao Liu , Wenbo Sun , Suhui Yang , Yuting Tao , Lei Lin , Weige Lv , Lingying Jiang , Lan Wu , Chong Liu , Dong Liu
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引用次数: 0

摘要

空间激光雷达在昼夜采样和穿透薄云层和气溶胶层方面表现出卓越的全球海洋观测能力。与传统的弹性星载激光雷达相比,星载高光谱分辨率激光雷达(HSRL)有可能通过减少检索算法中的假设数量来提供精确的光学特性。本文报告了空间 HSRL(即中国 DQ-1 卫星上的气溶胶和碳探测激光雷达(ACDL))在颗粒和分子散射测量中的首次海洋应用。我们利用 ACDL/DQ-1 HSRL 对全球海洋中的颗粒物后向散射系数 bbp 进行了量化,并采用了一种利用柱积分颗粒物和分子信号的新型算法。通过沿轨迹和全球比较,ACDL 得出的 bbp 数据与 MODIS 得出的数据非常吻合。在不同的空间和时间匹配窗口下,它与 Argo 浮漂原位数据也呈现出很高的相关性。预计 ACDL/DQ-1 将成为全球海洋卫星观测的重要组成部分,解决传统被动海洋颜色观测的一些局限性。
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Spaceborne high-spectral-resolution lidar ACDL/DQ-1 measurements of the particulate backscatter coefficient in the global ocean
Spaceborne lidars have demonstrated outstanding global ocean observation in terms of sampling at day- and night-time and penetrating thin cloud and aerosol layers. A spaceborne high-spectral-resolution lidar (HSRL) has the potential to provide accurate optical properties by decreasing the number of assumptions in the retrieval algorithm in comparison with classical elastic spaceborne lidar. In this paper, we report the first ocean application from both particulate and molecular scattering measurements of spaceborne HSRL, namely Aerosol and Carbon Detection Lidar (ACDL) onboard China DQ-1 satellite. We use the ACDL/DQ-1 HSRL to quantify particulate backscatter coefficient bbp in the global ocean, with a novel algorithm exploiting the column-integrated particulate and molecular signals. The ACDL-derived bbp data agree well with MODIS-derived data through along-track and global comparisons. It also presents high correlations with the Argo floats in-situ data under various spatial and temporal matching windows. The ACDL/DQ-1 is anticipated to become an important part of the global ocean satellite observations addressing some limitations of traditional passive ocean colour observation.
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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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