• 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

卫星遥感监测有害藻华(HABs)及其潜在综合框架。

Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework.

机构信息

State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China.

出版信息

Sensors (Basel). 2012;12(6):7778-803. doi: 10.3390/s120607778. Epub 2012 Jun 7.

DOI:10.3390/s120607778
PMID:22969372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3436001/
Abstract

Harmful algal blooms (HABs) are severe ecological disasters threatening aquatic systems throughout the World, which necessitate scientific efforts in detecting and monitoring them. Compared with traditional in situ point observations, satellite remote sensing is considered as a promising technique for studying HABs due to its advantages of large-scale, real-time, and long-term monitoring. The present review summarizes the suitability of current satellite data sources and different algorithms for detecting HABs. It also discusses the spatial scale issue of HABs. Based on the major problems identified from previous literature, including the unsystematic understanding of HABs, the insufficient incorporation of satellite remote sensing, and a lack of multiple oceanographic explanations of the mechanisms causing HABs, this review also attempts to provide a comprehensive understanding of the complicated mechanism of HABs impacted by multiple oceanographic factors. A potential synthesized framework can be established by combining multiple accessible satellite remote sensing approaches including visual interpretation, spectra analysis, parameters retrieval and spatial-temporal pattern analysis. This framework aims to lead to a systematic and comprehensive monitoring of HABs based on satellite remote sensing from multiple oceanographic perspectives.

摘要

有害藻华 (HABs) 是威胁全球水生系统的严重生态灾害,因此需要进行科学研究来检测和监测它们。与传统的现场点观测相比,卫星遥感被认为是研究 HABs 的一种很有前途的技术,因为它具有大规模、实时和长期监测的优势。本综述总结了当前卫星数据源和不同算法检测 HABs 的适用性。它还讨论了 HABs 的空间尺度问题。基于从以前的文献中确定的主要问题,包括对 HABs 的系统理解不足、卫星遥感的应用不足以及对导致 HABs 的机制缺乏多种海洋学解释,本综述还试图提供对受多种海洋学因素影响的 HABs 复杂机制的全面理解。通过结合多种可访问的卫星遥感方法,包括目视解释、光谱分析、参数反演和时空模式分析,可以建立一个潜在的综合框架。该框架旨在基于卫星遥感从多个海洋学角度对 HABs 进行系统和全面的监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5b4/3436001/0cb98f542bf8/sensors-12-07778f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5b4/3436001/35e4d096a6ea/sensors-12-07778f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5b4/3436001/0cb98f542bf8/sensors-12-07778f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5b4/3436001/35e4d096a6ea/sensors-12-07778f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5b4/3436001/0cb98f542bf8/sensors-12-07778f2.jpg

相似文献

1
Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework.卫星遥感监测有害藻华(HABs)及其潜在综合框架。
Sensors (Basel). 2012;12(6):7778-803. doi: 10.3390/s120607778. Epub 2012 Jun 7.
2
Remote sensing to detect harmful algal blooms in inland waterbodies.利用遥感技术检测内陆水体中的有害藻华。
Sci Total Environ. 2022 Dec 10;851(Pt 1):158096. doi: 10.1016/j.scitotenv.2022.158096. Epub 2022 Aug 18.
3
A review on drone-based harmful algae blooms monitoring.基于无人机的有害藻华监测研究综述。
Environ Monit Assess. 2019 Mar 9;191(4):211. doi: 10.1007/s10661-019-7365-8.
4
Hourly remote sensing monitoring of harmful algal blooms (HABs) in Taihu Lake based on GOCI images.基于 GOCI 图像的太湖有害藻华(HABs)逐时遥感监测。
Environ Sci Pollut Res Int. 2021 Jul;28(27):35958-35970. doi: 10.1007/s11356-021-13318-6. Epub 2021 Mar 8.
5
Detection of harmful algal blooms from satellite-based inherent optical properties of the ocean in Paracas Bay - Peru.利用卫星探测秘鲁帕拉卡斯湾海洋固有光学特性中的有害藻华。
Mar Pollut Bull. 2024 Apr;201:116173. doi: 10.1016/j.marpolbul.2024.116173. Epub 2024 Feb 20.
6
Monitoring, modeling and projection of harmful algal blooms in China.中国有害藻华的监测、建模和预测。
Harmful Algae. 2022 Jan;111:102164. doi: 10.1016/j.hal.2021.102164. Epub 2021 Dec 22.
7
A Digital Twin Lake Framework for Monitoring and Management of Harmful Algal Blooms.用于有害藻华监测和管理的数字孪生湖框架。
Toxins (Basel). 2023 Nov 17;15(11):665. doi: 10.3390/toxins15110665.
8
Omics study of harmful algal blooms in China: Current status, challenges, and future perspectives.中国有害藻华的组学研究:现状、挑战和未来展望。
Harmful Algae. 2021 Jul;107:102079. doi: 10.1016/j.hal.2021.102079. Epub 2021 Jul 13.
9
A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing.利用卫星遥感监测蓝藻水华空间范围时间变化的方法。
Harmful Algae. 2017 Jul;67:144-152. doi: 10.1016/j.hal.2017.06.001. Epub 2017 Jul 14.
10
Ground-based remote sensing provides alternative to satellites for monitoring cyanobacteria in small lakes.地面遥感为监测小湖泊中的蓝藻提供了卫星监测之外的替代方法。
Water Res. 2023 Aug 15;242:120076. doi: 10.1016/j.watres.2023.120076. Epub 2023 May 23.

引用本文的文献

1
Climate-smart public health for global health resilience.面向全球卫生韧性的气候智能型公共卫生。
Lancet Planet Health. 2025 Aug;9(8):101293. doi: 10.1016/j.lanplh.2025.101293. Epub 2025 Aug 20.
2
Spatiotemporal Expansion of Algal Blooms in Coastal China Seas.中国近海水域藻类水华的时空扩展。
Environ Sci Technol. 2024 Jul 23;58(29):13076-13086. doi: 10.1021/acs.est.4c01877. Epub 2024 May 23.
3
A database of global coastal conditions.全球沿海状况数据库。

本文引用的文献

1
Long-term evaluation of three satellite ocean color algorithms for identifying harmful algal blooms (Karenia brevis) along the west coast of Florida: A matchup assessment.用于识别佛罗里达州西海岸有害藻华(短裸甲藻)的三种卫星海洋水色算法的长期评估:一种匹配评估
Remote Sens Environ. 2011 Jan 17;115(1):1-18. doi: 10.1016/j.rse.2010.07.007.
2
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.
3
Approaches to monitoring, control and management of harmful algal blooms (HABs).
Sci Data. 2021 Nov 26;8(1):304. doi: 10.1038/s41597-021-01081-9.
4
Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations.利用高光谱航空图像和密集同步地面观测比较估算富营养化淡水中浊度和蓝藻浓度的卫星反射率算法
J Great Lakes Res. 2019 Jun 1;45(3):413-433. doi: 10.1016/j.jglr.2018.09.001.
5
Degradation of okadaic acid in seawater by UV/TiO photocatalysis - Proof of concept.UV/TiO 光催化降解海水中的 okadaic 酸-概念验证。
Sci Total Environ. 2020 Sep 1;733:139346. doi: 10.1016/j.scitotenv.2020.139346. Epub 2020 May 12.
6
Retrospective analysis of Chlorophyll-a and its correlation with climate and hydrological variations in Mindu Dam, Morogoro, Tanzania.坦桑尼亚莫罗戈罗明杜大坝叶绿素a的回顾性分析及其与气候和水文变化的相关性
Heliyon. 2019 Nov 14;5(11):e02834. doi: 10.1016/j.heliyon.2019.e02834. eCollection 2019 Nov.
7
The occurrence of cyanobacteria blooms in freshwater ecosystems and their link with hydro-meteorological and environmental variations in Tanzania.坦桑尼亚淡水生态系统中蓝藻水华的发生及其与水文气象和环境变化的联系。
Heliyon. 2019 Mar 7;5(3):e01312. doi: 10.1016/j.heliyon.2019.e01312. eCollection 2019 Mar.
8
A review on drone-based harmful algae blooms monitoring.基于无人机的有害藻华监测研究综述。
Environ Monit Assess. 2019 Mar 9;191(4):211. doi: 10.1007/s10661-019-7365-8.
9
High performance image mapping spectrometer (IMS) for snapshot hyperspectral imaging applications.用于快照高光谱成像应用的高性能图像映射光谱仪(IMS)。
Opt Express. 2019 Jan 21;27(2):1597-1612. doi: 10.1364/OE.27.001597.
10
Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations.利用机载高光谱图像和密集的水面观测评估卫星衍生的叶绿素-a 算法在温带内陆湖泊中的可移植性。
Harmful Algae. 2018 Jun;76:35-46. doi: 10.1016/j.hal.2018.05.001. Epub 2018 May 15.
有害藻华(HABs)的监测、控制与管理方法。
Ocean Coast Manag. 2009 Jul 1;52(7):342. doi: 10.1016/j.ocecoaman.2009.04.006.
4
Fluorescence component in the reflectance spectra from coastal waters. Dependence on water composition.沿海水域反射光谱中的荧光成分。对水成分的依赖性。
Opt Express. 2007 Nov 26;15(24):15702-21. doi: 10.1364/oe.15.015702.
5
Phytoplankton succession during a red tide of Skeletonema costatum in Jiaozhou Bay of China.中国胶州湾中肋骨条藻赤潮期间的浮游植物演替
Mar Pollut Bull. 2005 Jan;50(1):91-4. doi: 10.1016/j.marpolbul.2004.11.016. Epub 2004 Dec 2.
6
Harmful algal blooms: causes, impacts and detection.有害藻华:成因、影响与检测
J Ind Microbiol Biotechnol. 2003 Jul;30(7):383-406. doi: 10.1007/s10295-003-0074-9. Epub 2003 Jul 30.