Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake

Widespread harmful cyanobacterial bloom is one of the most pressing concerns in lakes and reservoirs, resulting in a lot of negative ecological consequences and threatening public health. Ocean color instruments with low spatial resolution have been used to monitor cyanobacterial bloom in large lake...

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Autores principales: Miao Liu, Hong Ling, Dan Wu, Xiaomei Su, Zhigang Cao
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/9b126c7e30bd4f2895d2aeb64b7a2f9f
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spelling oai:doaj.org-article:9b126c7e30bd4f2895d2aeb64b7a2f9f2021-11-11T18:59:00ZSentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake10.3390/rs132144792072-4292https://doaj.org/article/9b126c7e30bd4f2895d2aeb64b7a2f9f2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4479https://doaj.org/toc/2072-4292Widespread harmful cyanobacterial bloom is one of the most pressing concerns in lakes and reservoirs, resulting in a lot of negative ecological consequences and threatening public health. Ocean color instruments with low spatial resolution have been used to monitor cyanobacterial bloom in large lakes; however, they cannot be applied to small water bodies well. Here, the Multi-Spectral Instrument (MSI) onboard Sentinel-2A and -2B and the Operational Landsat Imager (OLI) onboard Landsat-8 were employed to assemble the virtual constellation and to track spatial and seasonal variations in floating algae blooms from 2016 to 2020 in a small eutrophic plateau lake: Lake Xingyun in China. The floating algae index (FAI) was calculated using Rayleigh-corrected reflectance in the red, near-infrared, and short-wave infrared bands. The MSI-derived FAI had a similar pattern to the OLI-derived FAI, with a mean absolute percentage error of 19.98% and unbiased percentage difference of 17.05%. Then, an FAI threshold, 0.0693, was determined using bimodal histograms of FAI images for floating algae extraction. The floating algae had a higher occurrence in the northern region than the southern region in this lake, whilst the occurrence of floating algae in summer and autumn was higher than that in spring and winter. Such a spatial and seasonal pattern was related to the variability in air temperature, wind speed and direction, and nutrients. The climatological annual mean occurrence of floating algae from 2016 to 2020 in Lake Xingyun exhibited a significant decrease, which was related to decreases in nutrients, resulting from efficient ecological restoration by the local government. This research highlighted the application of OLI-MSI virtual constellation on monitoring floating algae in a small lake, providing a practical and theoretical reference to monitor aquatic environments in small water bodies.Miao LiuHong LingDan WuXiaomei SuZhigang CaoMDPI AGarticlealgae bloomlandsatsentinellakeseutrophicremote sensingScienceQENRemote Sensing, Vol 13, Iss 4479, p 4479 (2021)
institution DOAJ
collection DOAJ
language EN
topic algae bloom
landsat
sentinel
lakes
eutrophic
remote sensing
Science
Q
spellingShingle algae bloom
landsat
sentinel
lakes
eutrophic
remote sensing
Science
Q
Miao Liu
Hong Ling
Dan Wu
Xiaomei Su
Zhigang Cao
Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake
description Widespread harmful cyanobacterial bloom is one of the most pressing concerns in lakes and reservoirs, resulting in a lot of negative ecological consequences and threatening public health. Ocean color instruments with low spatial resolution have been used to monitor cyanobacterial bloom in large lakes; however, they cannot be applied to small water bodies well. Here, the Multi-Spectral Instrument (MSI) onboard Sentinel-2A and -2B and the Operational Landsat Imager (OLI) onboard Landsat-8 were employed to assemble the virtual constellation and to track spatial and seasonal variations in floating algae blooms from 2016 to 2020 in a small eutrophic plateau lake: Lake Xingyun in China. The floating algae index (FAI) was calculated using Rayleigh-corrected reflectance in the red, near-infrared, and short-wave infrared bands. The MSI-derived FAI had a similar pattern to the OLI-derived FAI, with a mean absolute percentage error of 19.98% and unbiased percentage difference of 17.05%. Then, an FAI threshold, 0.0693, was determined using bimodal histograms of FAI images for floating algae extraction. The floating algae had a higher occurrence in the northern region than the southern region in this lake, whilst the occurrence of floating algae in summer and autumn was higher than that in spring and winter. Such a spatial and seasonal pattern was related to the variability in air temperature, wind speed and direction, and nutrients. The climatological annual mean occurrence of floating algae from 2016 to 2020 in Lake Xingyun exhibited a significant decrease, which was related to decreases in nutrients, resulting from efficient ecological restoration by the local government. This research highlighted the application of OLI-MSI virtual constellation on monitoring floating algae in a small lake, providing a practical and theoretical reference to monitor aquatic environments in small water bodies.
format article
author Miao Liu
Hong Ling
Dan Wu
Xiaomei Su
Zhigang Cao
author_facet Miao Liu
Hong Ling
Dan Wu
Xiaomei Su
Zhigang Cao
author_sort Miao Liu
title Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake
title_short Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake
title_full Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake
title_fullStr Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake
title_full_unstemmed Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake
title_sort sentinel-2 and landsat-8 observations for harmful algae blooms in a small eutrophic lake
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/9b126c7e30bd4f2895d2aeb64b7a2f9f
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AT danwu sentinel2andlandsat8observationsforharmfulalgaebloomsinasmalleutrophiclake
AT xiaomeisu sentinel2andlandsat8observationsforharmfulalgaebloomsinasmalleutrophiclake
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