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基于无人机的有害藻华监测研究综述。

A review on drone-based harmful algae blooms monitoring.

机构信息

Department of Geography and Environmental Resources, Southern Illinois University-Carbondale, Carbondale, Illinois, 62901, USA.

The College of Natural Resources and Environment, South China Agricultural University, Guangzhou, 510642, Guangdong Province, China.

出版信息

Environ Monit Assess. 2019 Mar 9;191(4):211. doi: 10.1007/s10661-019-7365-8.

DOI:10.1007/s10661-019-7365-8
PMID:30852736
Abstract

Rapid development and applications of unmanned aerial vehicles (UAVs) provide promising solutions to and new opportunities for environmental monitoring. Owing to their flexibility in flight scheduling, high spatial resolution, and costs-effectiveness, UAVs have become a popular tool for monitoring dynamic environmental processes, such as emergence and outbreak of harmful algae blooms (HABs). The HABs outbreak, often linked with anthropogenic eutrophication, has become a serious environmental health problem that threats our communities. Existing studies show that UAV-based HABs monitoring is a cost-effective means of assisting environmental managers in developing precautionary warning system and coping strategies. This article summarized the state-of-the-art of using UAVs and lightweight onboard multispectral sensors for HABs monitoring from the perspective of quantitative remote sensing. It culminates in a discussion of challenges and opportunities for future research and applications on drone-based HABs monitoring.

摘要

无人机(UAV)的快速发展和应用为环境监测提供了有前景的解决方案和新机遇。由于其在飞行计划安排方面的灵活性、高空间分辨率和成本效益,无人机已成为监测动态环境过程(如有害藻华(HAB)的出现和爆发)的流行工具。HAB 的爆发通常与人为富营养化有关,已成为威胁我们社区的严重环境健康问题。现有研究表明,基于无人机的 HAB 监测是一种具有成本效益的手段,可以帮助环境管理者开发预警系统和应对策略。本文从定量遥感的角度总结了使用无人机和轻型机载多光谱传感器监测 HAB 的最新技术。最后讨论了基于无人机的 HAB 监测未来研究和应用的挑战和机遇。

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本文引用的文献

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Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging.利用高分辨率彩色和多光谱成像的无人机系统检测水稻叶鞘枯病。
PLoS One. 2018 May 10;13(5):e0187470. doi: 10.1371/journal.pone.0187470. eCollection 2018.
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Biology goes in the air : Unmanned aerial vehicles offer biologists an efficient tool for observation and sampling from a safe distance.生物学融入空中:无人机为生物学家提供了一种从安全距离进行观察和采样的高效工具。
EMBO Rep. 2017 Aug;18(8):1284-1289. doi: 10.15252/embr.201744740. Epub 2017 Jul 25.
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Mitigating cyanobacterial harmful algal blooms in aquatic ecosystems impacted by climate change and anthropogenic nutrients.
利用不同纳米材料改进生物传感器:以微囊藻毒素为目标分析物为例。
Biosensors (Basel). 2021 Dec 20;11(12):525. doi: 10.3390/bios11120525.
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Rapid Quantification of Microalgae Growth with Hyperspectral Camera and Vegetation Indices.利用高光谱相机和植被指数快速定量微藻生长情况
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减轻气候变化和人为营养物质影响的水生生态系统中蓝藻有害藻华。
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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.
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Approaches to monitoring, control and management of harmful algal blooms (HABs).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.