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一种用于红色和绿色夜光藻生态监测的光学遥感方法。

An optical remote sensing approach for ecological monitoring of red and green Noctiluca scintillans.

作者信息

Baliarsingh S K, Dwivedi R M, Lotliker Aneesh A, Sahu K C, Kumar T Srinivasa, Shenoi S S C

机构信息

Indian National Centre for Ocean Information Services, Hyderabad, 500090, India.

Department of Marine Sciences, Behrampur University, Odisha, 760007, India.

出版信息

Environ Monit Assess. 2017 Jul;189(7):330. doi: 10.1007/s10661-017-6037-9. Epub 2017 Jun 10.

DOI:10.1007/s10661-017-6037-9
PMID:28601960
Abstract

An ecosystem disruptive bloom of red Noctiluca scintillans (hereafter Noctiluca) was observed in coastal waters of the north-western Bay of Bengal during April 2014. Based on the principle of phytoplankton group/species specific remote sensing reflectance (R), a technique of detecting green Noctiluca and diatom was developed earlier using R at 443, 488, and 531 nm of Moderate Imaging Spectroradiometer-Aqua (MODIS). This was appropriately modified to detect bloom of red Noctiluca in coastal waters of the Bay of Bengal. Additional R data at longer wavelengths viz. 667 and 678 nm were included in the existing algorithm, and the spectral shapes were accounted to detect the bloom of red Noctiluca. The classification scheme discriminates red Noctiluca from the green form of the same species and diatom. Phytoplankton group/species products were generated using the modified approach and validated with the reported events of red and green Noctiluca blooms in the Indian coastal waters. The present study also highlights two specific results based on MODIS retrieved time-series phytoplankton group/species image analysis: first, the observation of coexistence of diatom, red, and green Noctiluca in coastal waters of the north-western Bay of Bengal, and the second, phytoplankton community shift resulting in red/green Noctiluca proliferation following diatom.

摘要

2014年4月,在孟加拉湾西北部沿海水域观测到夜光藻(以下简称夜光虫)大量繁殖,对生态系统造成破坏。基于浮游植物类群/物种特定的遥感反射率(R)原理,此前利用中分辨率成像光谱仪-水色卫星(MODIS)在443、488和531纳米处的R值,开发了一种检测绿色夜光虫和硅藻的技术。对该技术进行了适当修改,以检测孟加拉湾沿海水域红色夜光虫的大量繁殖。在现有算法中纳入了更长波长(即667和678纳米)的额外R数据,并考虑光谱形状来检测红色夜光虫的大量繁殖。该分类方案可区分红色夜光虫与同一物种的绿色形态以及硅藻。使用修改后的方法生成了浮游植物类群/物种产品,并根据印度沿海水域已报道的红色和绿色夜光虫大量繁殖事件进行了验证。本研究还基于MODIS获取的时间序列浮游植物类群/物种图像分析突出了两个具体结果:第一,在孟加拉湾西北部沿海水域观测到硅藻、红色和绿色夜光虫共存;第二,浮游植物群落发生转变,导致硅藻之后红色/绿色夜光虫大量繁殖。

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本文引用的文献

1
Environmental dynamics of red Noctiluca scintillans bloom in tropical coastal waters.热带沿海水域夜光藻赤潮的环境动态
Mar Pollut Bull. 2016 Oct 15;111(1-2):277-286. doi: 10.1016/j.marpolbul.2016.06.103. Epub 2016 Jul 19.
2
MODIS-Aqua detects Noctiluca scintillans and hotspots in the central Arabian Sea.中分辨率成像光谱仪-水色卫星探测到阿拉伯海中部的夜光藻和热点区域。
Environ Monit Assess. 2016 Jan;188(1):50. doi: 10.1007/s10661-015-5041-1. Epub 2015 Dec 21.
3
Species identification of mixed algal bloom in the Northern Arabian Sea using remote sensing techniques.
利用遥感技术对阿拉伯海北部混合藻华进行物种鉴定。
Environ Monit Assess. 2015 Feb;187(2):51. doi: 10.1007/s10661-015-4291-2. Epub 2015 Feb 1.
4
Massive outbreaks of Noctiluca scintillans blooms in the Arabian Sea due to spread of hypoxia.由于缺氧的扩散,阿拉伯海出现了夜光藻的大规模爆发。
Nat Commun. 2014 Sep 9;5:4862. doi: 10.1038/ncomms5862.