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利用卫星海洋水色遥感影像对悬浮颗粒物进行全球估算。

Global Estimation of Suspended Particulate Matter From Satellite Ocean Color Imagery.

作者信息

Wei Jianwei, Wang Menghua, Jiang Lide, Yu Xiaolong, Mikelsons Karlis, Shen Fang

机构信息

NOAA Center for Satellite Applications and Research College Park MD USA.

Global Science & Technology Inc. Greenbelt MD USA.

出版信息

J Geophys Res Oceans. 2021 Aug;126(8):e2021JC017303. doi: 10.1029/2021JC017303. Epub 2021 Aug 6.

DOI:10.1029/2021JC017303
PMID:35844263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9285372/
Abstract

The suspended particulate matter (SPM) concentration (unit: mg l) in surface waters is an essential measure of water quality and clarity. Satellite remote sensing provides a powerful tool to derive the SPM with synoptic and repeat coverage. In this study, we developed a new global SPM algorithm utilizing the remote sensing reflectance ( ()) at near-infrared (NIR), red, green, and blue bands (NIR-RGB) as input. The evaluations showed that the NIR-RGB algorithm could predict SPM with the median absolute percentage difference of ∼35%-39% over a wide range from ∼0.01 to >2,000 mg l. The uncertainty is smaller (29%-37%) for turbid waters where (671) ≥ 0.0012 sr and slightly higher (41%-44%) for clear waters where (671) < 0.0012 mg l. The algorithm was implemented with the global () data from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite. We provided a brief characterization of the spatial distribution and temporal trends of the SPM products in global waters based on the monthly SPM composites. Case studies of the SPM time series in coastal and inland waters suggest that the satellite SPM estimations registered spatial and seasonal variation and episodic events in regional scales as well. The VIIRS-generated global SPM maps provide a valuable addition to the existing ocean color products for environmental and climate applications.

摘要

地表水中悬浮颗粒物（SPM）浓度（单位：mg/l）是衡量水质和清澈度的一项重要指标。卫星遥感为获取具有全景和重复覆盖范围的SPM提供了一个强大工具。在本研究中，我们开发了一种新的全球SPM算法，该算法利用近红外（NIR）、红色、绿色和蓝色波段（NIR-RGB）的遥感反射率（Rrs）作为输入。评估结果表明，NIR-RGB算法能够在0.01至>2000mg/l的广泛范围内预测SPM，其平均绝对百分比差异中位数约为35%-39%。对于Rrs(671)≥0.0012sr的浑浊水体，不确定性较小（29%-37%）；而对于Rrs(671)<0.0012mg/l的清澈水体，不确定性略高（41%-44%）。该算法是利用搭载在苏梅克国家极地轨道伙伴关系（SNPP）卫星上的可见红外成像辐射计套件（VIIRS）的全球Rrs数据实现的。我们基于月度SPM合成数据，简要描述了全球水域中SPM产品的空间分布和时间趋势特征。沿海和内陆水域SPM时间序列的案例研究表明，卫星SPM估算在区域尺度上也记录了空间和季节变化以及突发事件。VIIRS生成的全球SPM地图为现有的用于环境和气候应用的海洋颜色产品增添了有价值的内容。

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