Satellite observations of water transparency from VIIRS in global aquatic ecosystems

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Jianwei Wei , Menghua Wang , Lide Jiang , Zhongping Lee , Richard Kirby , Karlis Mikelsons , Gong Lin
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Abstract

This study presents a new satellite ocean color data record of Secchi depth (ZSD) observations from the Visible Infrared Imaging Radiometer Suite (VIIRS). As part of the NOAA enterprise satellite data processing, the decade-long ZSD data are derived from the visible and near-infrared reflectance measurements over oceanic, coastal, and inland waters. Based on in situ data, the model is excellent in generating low-uncertainty ZSD data with an absolute percentage difference (APD) of 15%–29%. The satellite and in situ matchups confirm reliable satellite retrievals with APD = 19%–26% over the ZSD range of 0.1–60 m. Although the product uncertainties are dependent on optical water types, assessments show that the satellite ZSD estimations are very reliable, especially where ZSD ≥ 1 m. This new satellite product has enabled the ability to access Level-2 daily ZSD imagery and information as well as Level-3 data aggregated on daily to monthly scales. Our examination indicates that the ocean transparent windows are situated at 443 and 486 nm in the vast open oceans and 551 nm for most coastal waters. They shift to the red band at 671 nm for extremely turbid environments, such as large river estuaries. From a global perspective, the ZSD data extend from less than half a meter in nearshore environments to >70 m in the South Pacific Gyre, while demonstrating a strong dependency on the optical water types. Short-term fluctuations over time are registered in the satellite ZSD daily and monthly data from almost every aquatic environment. Trend analyses reveal significant increases in water transparency over many regions, especially the open ocean. We stress the necessity of normalizing satellite ZSD estimations to eliminate the uncertainties induced by different solar-zenith angles. The present satellite products can be further improved by accounting for the limitations imposed by the multispectral reflectance data with hyperspectral ocean color spectra.
全球水生生态系统中水透明度的VIIRS卫星观测
本文介绍了可见光红外成像辐射计套件(VIIRS)对Secchi深度(ZSD)观测的一种新的卫星海洋颜色数据记录。作为NOAA企业卫星数据处理的一部分,长达十年的ZSD数据来自海洋、沿海和内陆水域的可见光和近红外反射率测量。基于现场数据,该模型在生成低不确定性ZSD数据方面表现出色,绝对百分比差(APD)为15%-29%。在0.1-60 m的ZSD范围内,卫星和原位匹配确认了可靠的卫星检索,APD = 19%-26%。虽然产品的不确定性取决于光学水类型,但评估表明卫星ZSD估计非常可靠,特别是在ZSD≥1 m的情况下。这种新的卫星产品使我们能够访问二级每日ZSD图像和信息,以及按日至月汇总的三级数据。我们的研究表明,在广阔的开放海域,海洋透明窗位于443和486 nm,而在大多数沿海水域,透明窗位于551 nm。在极其浑浊的环境中,如大型河口,它们会在671nm处转移到红色波段。从全球角度来看,ZSD数据从近岸环境的不到半米延伸到南太平洋环流的70米,同时显示出对光学水类型的强烈依赖。几乎所有水生环境的ZSD卫星每日和每月数据都记录了随时间的短期波动。趋势分析显示,在许多地区,特别是公海,水的透明度显著增加。我们强调对卫星ZSD估计进行归一化的必要性,以消除不同太阳天顶角引起的不确定性。考虑到高光谱海洋颜色光谱的多光谱反射率数据的局限性,现有的卫星产品可以进一步改进。
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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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