Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds

Xinkai Zhang, Jie Yin
{"title":"Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds","authors":"Xinkai Zhang, Jie Yin","doi":"10.62051/fpa2dm58","DOIUrl":null,"url":null,"abstract":"This article provides a comprehensive discussion of the application and importance of sea surface temperature (SST) remote sensing data in environmental assessment of fisheries. By analysing the collection, processing and practical application of SST data, the article demonstrates how this technology can help scientists and fisheries managers to better understand the impacts of ocean temperature changes on fisheries resources and its role in ensuring the sustainability of global fisheries. The article begins by describing the importance of the marine environment to fishery resources and explains the development of SST remote sensing technology and its application to fishery location and environmental monitoring. The article then discusses in detail the application of SST data in practical fisheries management, in particular how it can help predict fish migration, optimise fishing activities, and assess the impacts of climate change on marine ecosystems. In addition, the article explores the main challenges faced when applying SST data, such as technical limitations, complexity of data interpretation, and unequal access on a global scale. Overall, this article highlights the indispensable role of SST remote sensing data in modern fisheries management, while also pointing out the limitations of its application and future directions. With the continuous advancement of remote sensing technology and the ongoing impact of global climate change, SST data are expected to play an increasingly important role in future fisheries environmental assessment and resource management.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Computer Science and Intelligent Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62051/fpa2dm58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This article provides a comprehensive discussion of the application and importance of sea surface temperature (SST) remote sensing data in environmental assessment of fisheries. By analysing the collection, processing and practical application of SST data, the article demonstrates how this technology can help scientists and fisheries managers to better understand the impacts of ocean temperature changes on fisheries resources and its role in ensuring the sustainability of global fisheries. The article begins by describing the importance of the marine environment to fishery resources and explains the development of SST remote sensing technology and its application to fishery location and environmental monitoring. The article then discusses in detail the application of SST data in practical fisheries management, in particular how it can help predict fish migration, optimise fishing activities, and assess the impacts of climate change on marine ecosystems. In addition, the article explores the main challenges faced when applying SST data, such as technical limitations, complexity of data interpretation, and unequal access on a global scale. Overall, this article highlights the indispensable role of SST remote sensing data in modern fisheries management, while also pointing out the limitations of its application and future directions. With the continuous advancement of remote sensing technology and the ongoing impact of global climate change, SST data are expected to play an increasingly important role in future fisheries environmental assessment and resource management.
海面温度遥感数据在渔场环境评估中的应用
本文全面论述了海洋表面温度(SST)遥感数据在渔业环境评估中的应用及其重要性。通过分析海表温度数据的收集、处理和实际应用,文章展示了该技术如何帮助科学家和渔业管理人员更好地了解海洋温度变化对渔业资源的影响,以及该技术在确保全球渔业可持续性方面的作用。文章首先介绍了海洋环境对渔业资源的重要性,并解释了 SST 遥感技术的发展及其在渔业定位和环境监测中的应用。文章随后详细讨论了 SST 数据在实际渔业管理中的应用,特别是如何帮助预测鱼类洄游、优化捕鱼活动以及评估气候变化对海洋生态系统的影响。此外,文章还探讨了应用 SST 数据时面临的主要挑战,如技术限制、数据解读的复杂性以及全球范围内的不平等获取。总之,本文强调了 SST 遥感数据在现代渔业管理中不可或缺的作用,同时也指出了其应用的局限性和未来发展方向。随着遥感技术的不断进步和全球气候变化的持续影响,预计 SST 数据将在未来的渔业环境评估和资源管理中发挥越来越重要的作用。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信