System vicarious calibration and ocean color retrieval from the HY-1C UVI

Junwei Wang , Shuguo Chen , Shixian Hu , Linke Deng , Chaofei Ma , Hailong Peng , Qingjun Song
{"title":"System vicarious calibration and ocean color retrieval from the HY-1C UVI","authors":"Junwei Wang ,&nbsp;Shuguo Chen ,&nbsp;Shixian Hu ,&nbsp;Linke Deng ,&nbsp;Chaofei Ma ,&nbsp;Hailong Peng ,&nbsp;Qingjun Song","doi":"10.1016/j.jag.2025.104417","DOIUrl":null,"url":null,"abstract":"<div><div>Ultraviolet (UV) remote sensing plays a critical role in understanding photochemical and biological processes in the global ocean. While UV radiation significantly influences the marine environment, the limited availability of global UV measurements has hindered comprehensive analyses, particularly in photochemically sensitive regions. The Ultraviolet Imager (UVI) on China’s HaiYang-1C (HY-1C) satellite, launched in 2018, offers unique data with two UV bands (355 and 385 nm), enabling the study of UV-driven oceanic processes that were previously unachievable with standard visible-only ocean color sensors. This study develops a system vicarious calibration (SVC) approach tailored for HY-1C’s UVI, integrating co-located observations from the Coastal Zone Color Scanner (COCTS) on the same satellite platform to derive accurate remote sensing reflectance (<em>R<sub>rs</sub></em>) in the UV spectrum. Using MOBY <em>in situ</em> measurements as reference data for SVC and ship-based measurements for validation, we demonstrate that UVI-derived <em>R<sub>rs</sub></em> achieve high accuracy, with Mean Absolute Percentage Differences (<em>MAPD</em>) reduced to 15.7 % and 8.4 % for the 355 and 385 nm bands, respectively, following system vicarious calibration. This enhanced accuracy provides a pathway for producing consistent UV ocean color products and contributes to a deeper understanding of marine biogeochemical cycles. The findings highlight the potential of HY-1C UVI in expanding ocean color research into the UV domain, offering valuable insights for future satellite missions.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"136 ","pages":"Article 104417"},"PeriodicalIF":8.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569843225000640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0

Abstract

Ultraviolet (UV) remote sensing plays a critical role in understanding photochemical and biological processes in the global ocean. While UV radiation significantly influences the marine environment, the limited availability of global UV measurements has hindered comprehensive analyses, particularly in photochemically sensitive regions. The Ultraviolet Imager (UVI) on China’s HaiYang-1C (HY-1C) satellite, launched in 2018, offers unique data with two UV bands (355 and 385 nm), enabling the study of UV-driven oceanic processes that were previously unachievable with standard visible-only ocean color sensors. This study develops a system vicarious calibration (SVC) approach tailored for HY-1C’s UVI, integrating co-located observations from the Coastal Zone Color Scanner (COCTS) on the same satellite platform to derive accurate remote sensing reflectance (Rrs) in the UV spectrum. Using MOBY in situ measurements as reference data for SVC and ship-based measurements for validation, we demonstrate that UVI-derived Rrs achieve high accuracy, with Mean Absolute Percentage Differences (MAPD) reduced to 15.7 % and 8.4 % for the 355 and 385 nm bands, respectively, following system vicarious calibration. This enhanced accuracy provides a pathway for producing consistent UV ocean color products and contributes to a deeper understanding of marine biogeochemical cycles. The findings highlight the potential of HY-1C UVI in expanding ocean color research into the UV domain, offering valuable insights for future satellite missions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
HY-1C UVI的系统替代校准和海洋颜色检索
紫外遥感在了解全球海洋的光化学和生物过程中起着至关重要的作用。虽然紫外线辐射对海洋环境有重大影响,但全球紫外线测量的有限可用性阻碍了全面分析,特别是在光化学敏感区域。中国于2018年发射的海洋- 1c (hyc - 1c)卫星上的紫外线成像仪(UVI)提供了两个紫外线波段(355和385纳米)的独特数据,使人们能够研究紫外线驱动的海洋过程,这是以前标准的可见光海洋颜色传感器无法实现的。本研究开发了一种针对hyc - 1c的UVI量身定制的系统替代校准(SVC)方法,该方法整合了同一卫星平台上海岸带彩色扫描仪(COCTS)的同位置观测数据,以获得准确的紫外光谱遥感反射率(Rrs)。利用MOBY原位测量作为SVC和船载测量的参考数据进行验证,我们证明了紫外衍生的Rrs具有很高的精度,经过系统替代校准后,355和385 nm波段的平均绝对百分比差异(Mean Absolute Percentage Differences, MAPD)分别降至15.7%和8.4%。这种提高的准确性为生产一致的紫外线海洋颜色产品提供了途径,并有助于更深入地了解海洋生物地球化学循环。这些发现突出了HY-1C UVI在将海洋颜色研究扩展到UV领域方面的潜力,为未来的卫星任务提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
期刊最新文献
Phenology-Aligned multi-task temporal fusion framework for satellite-based triple-seasonal rice yield estimation in Southeast Asia An Arctic underwater terrain matching method integrating template matching and DEM super-resolution MAFNet: A multi-modal adaptive fusion network-based approach for individual building extraction from oblique photogrammetry Seasonal field-scale wheat yield forecasting using XGBoost with radar, optical, and weather data in Morocco Advances in extracting current profiles from X-band radar images with a focus on retrieving subsurface current
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1