• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

卫星海洋颜色观测的十年。

A decade of satellite ocean color observations.

机构信息

Oceans Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.

出版信息

Ann Rev Mar Sci. 2009;1:19-42. doi: 10.1146/annurev.marine.010908.163650.

DOI:10.1146/annurev.marine.010908.163650
PMID:21141028
Abstract

After the successful Coastal Zone Color Scanner (CZCS, 1978-1986) demonstration that quantitative estimations of geophysical variables such as chlorophyll a and diffuse attenuation coefficient could be derived from top of the atmosphere radiances, a number of international missions with ocean color capabilities were launched beginning in the late 1990s. Most notable were those with global data acquisition capabilities, i.e., the Ocean Color and Temperature Sensor (OCTS,Japan, 1996-1997), the Sea-viewing Wide Field-of-view Sensor (SeaWiFS, United States, 1997-present), two Moderate Resolution Imaging Spectroradiometers (MODIS, United States, Terra/2000-present and Aqua/2002-present), the Global Imager (GLI, Japan, 2002-2003), and the Medium Resolution Imaging Spectrometer (MERIS, European Space Agency, 2002-present). These missions have provided data of exceptional quality and continuity, allowing for scientific inquiries into a wide variety of marine research topics not possible with the CZCS. This review focuses on the scientific advances made over the past decade using these data sets.

摘要

继海岸带水色扫描仪(CZCS,1978-1986 年)成功演示了可以从大气顶部辐射率定量估算叶绿素 a 和漫衰减系数等地球物理变量之后,从 20 世纪 90 年代末开始,启动了多项具有海洋颜色功能的国际任务。其中最值得注意的是那些具有全球数据采集能力的任务,即海洋颜色和温度传感器(OCTS,日本,1996-1997 年)、宽视场海洋成像仪(SeaWiFS,美国,1997 年至今)、两颗中等分辨率成像光谱仪(MODIS,美国,Terra/2000 年至今和 Aqua/2002 年至今)、全球成像仪(GLI,日本,2002-2003 年)和中分辨率成像光谱仪(MERIS,欧洲航天局,2002 年至今)。这些任务提供了质量和连续性都非常出色的数据,使得人们能够对各种海洋研究课题进行科学研究,而这在 CZCS 时代是不可能实现的。本综述重点介绍了过去十年中利用这些数据集取得的科学进展。

相似文献

1
A decade of satellite ocean color observations.卫星海洋颜色观测的十年。
Ann Rev Mar Sci. 2009;1:19-42. doi: 10.1146/annurev.marine.010908.163650.
2
An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI).用于气候研究的海洋颜色时间序列:海洋颜色气候变化倡议(OC-CCI)的经验。
Sensors (Basel). 2019 Oct 3;19(19):4285. doi: 10.3390/s19194285.
3
Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past.卫星海洋颜色传感器的动态范围和灵敏度要求:借鉴历史经验
Appl Opt. 2012 Sep 1;51(25):6045-62. doi: 10.1364/AO.51.006045.
4
Ocean color products from the Korean Geostationary Ocean Color Imager (GOCI).来自韩国静止海洋彩色成像仪(GOCI)的海洋颜色产品。
Opt Express. 2013 Feb 11;21(3):3835-49. doi: 10.1364/OE.21.003835.
5
From silk to satellite: half a century of ocean colour anomalies in the Northeast Atlantic.从丝绸到卫星:东北大西洋半个世纪的海洋颜色异常。
Glob Chang Biol. 2014 Jul;20(7):2117-23. doi: 10.1111/gcb.12457. Epub 2014 Apr 23.
6
On-orbit vicarious calibration of ocean color sensors using an ocean surface reflectance model.利用海洋表面反射率模型对海洋颜色传感器进行在轨替代定标。
Appl Opt. 2007 Aug 10;46(23):5649-66. doi: 10.1364/ao.46.005649.
7
Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region.在浑浊的西太平洋地区,利用近红外波段进行大气校正以处理卫星海洋颜色数据。
Opt Express. 2012 Jan 16;20(2):741-53. doi: 10.1364/OE.20.000741.
8
Cross calibration of ocean-color bands from moderate resolution imaging spectroradiometer on Terra platform.对Terra平台上中分辨率成像光谱仪的海洋颜色波段进行交叉校准。
Appl Opt. 2008 Dec 20;47(36):6796-810. doi: 10.1364/ao.47.006796.
9
Impact of sub-pixel variations on ocean color remote sensing products.亚像素变化对海洋颜色遥感产品的影响。
Opt Express. 2012 Sep 10;20(19):20844-54. doi: 10.1364/OE.20.020844.
10
Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments.水生环境遥感的主要光谱波段测定
Sensors (Basel). 2007 Dec 20;7(12):3428-3441. doi: 10.3390/s7123428.

引用本文的文献

1
Insights Into Spatial Synchrony Enabled by Long-Term Data.长期数据带来的对空间同步性的洞察
Ecol Lett. 2025 Apr;28(4):e70112. doi: 10.1111/ele.70112.
2
Atlas of phytoplankton phenology indices in selected Eastern Mediterranean marine ecosystems.地中海东部选定海洋生态系统中浮游植物物候指数图集。
Sci Rep. 2024 Apr 30;14(1):9975. doi: 10.1038/s41598-024-60792-2.
3
Patterns in the temporal complexity of global chlorophyll concentration.全球叶绿素浓度的时间复杂性模式。
Nat Commun. 2024 Feb 19;15(1):1522. doi: 10.1038/s41467-024-45976-8.
4
Global climate-change trends detected in indicators of ocean ecology.海洋生态指标中检测到的全球气候变化趋势。
Nature. 2023 Jul;619(7970):551-554. doi: 10.1038/s41586-023-06321-z. Epub 2023 Jul 12.
5
Effects of Climate Change on Chlorophyll in the Barents Sea: A Long-Term Assessment.气候变化对巴伦支海叶绿素的影响:长期评估
Biology (Basel). 2023 Jan 11;12(1):119. doi: 10.3390/biology12010119.
6
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications.用于遥感应用的原位水体高光谱分辨率固有和表观光学特性数据的全球汇编。
Earth Syst Sci Data. 2020 May 19;12(2):1123-1139. doi: 10.5194/essd-12-1123-2020.
7
Variability in spring phytoplankton blooms associated with ice retreat timing in the Pacific Arctic from 2003-2019.2003-2019 年,太平洋北极地区春季浮游植物爆发与冰撤退时间变化的关系存在变异性。
PLoS One. 2021 Dec 16;16(12):e0261418. doi: 10.1371/journal.pone.0261418. eCollection 2021.
8
LSTM Networks to Improve the Prediction of Harmful Algal Blooms in the West Coast of Sabah.基于长短期记忆网络(LSTM)提高沙巴西海岸有害藻华预测能力
Int J Environ Res Public Health. 2021 Jul 19;18(14):7650. doi: 10.3390/ijerph18147650.
9
Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient.一种含不确定性的经验海洋水色算法的开发与验证:以颗粒后向散射系数为例的研究
J Geophys Res Oceans. 2021 May;126(5):e2021JC017231. doi: 10.1029/2021JC017231. Epub 2021 May 3.
10
Laser pulse bidirectional reflectance from CALIPSO mission.云-气溶胶激光雷达与红外探路者卫星观测(CALIPSO)任务中的激光脉冲双向反射率
Atmos Meas Tech. 2018 Jun;11(6):3281-3296. doi: 10.5194/amt-11-3281-2018. Epub 2018 Jun 8.