A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan

We proposed and validated a method for monitoring red tides in the brackish Lake Koyama-ike, Japan, using Sentinel-2 Multispectral Instrument (MSI) data with a 10 m spatial resolution. To achieve this objective, we acquired 36 spectral reflectance/Chla data points in the field from 2012 to 2018. We...

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Main Authors: Yuji Sakuno, Akihiro Maeda, Akihiro Mori, Shuji Ono, Akihiro Ito
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/5/1044
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spelling doaj-d87178d058e444429a5396ed6447453a2020-11-24T21:28:51ZengMDPI AGWater2073-44412019-05-01115104410.3390/w11051044w11051044A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, JapanYuji Sakuno0Akihiro Maeda1Akihiro Mori2Shuji Ono3Akihiro Ito4Graduate School of Engineering, Hiroshima University, 1-4-1, Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, JapanTottori Prefectural Institute of Public Health and Environmental Science, 526-1, Minamidani, Yurihama-cho, Tottori 682-0704, JapanTottori Prefecture Water Environment Management Division, 1-220, Higashimachi, Tottori, Tottori 680-8570, JapanImaging Technology Center, FUJIFILM Corporation, 798, Miyanodai, Kaisei-machi, Ashigarakami-gun, Kanagawa 258-8538, JapanCorporate Sales and Marketing Division, NTT DOCOMO, INC., 1-8-1, Akasaka, Minatoku, Tokyo 107-0052, JapanWe proposed and validated a method for monitoring red tides in the brackish Lake Koyama-ike, Japan, using Sentinel-2 Multispectral Instrument (MSI) data with a 10 m spatial resolution. To achieve this objective, we acquired 36 spectral reflectance/Chla data points in the field from 2012 to 2018. We obtained a high correlation of Chla (R<sup>2</sup> = 0.83) using the proposed red tide model (<i>RI<sub>KY</sub></i> = [MSI Band 5 &#8722; MSI Band 4]/[MSI Band 5 + MSI Band 4]) and field data. Based on our results, the proposed model was also validated using five Sentinel-2/Chla datasets from April to August 2017. Chla and red tide distribution characteristics estimated from Sentinel-2 data hardly appeared from April to July, and then spread rapidly throughout the lake (more than 70%) in August. Thus, Sentinel-2 data proved to be a very powerful tool in monitoring red tides in Lake Koyama-ike.https://www.mdpi.com/2073-4441/11/5/1044red tidechlorophyllSentinel-2brackish lakeatmospheric correction
collection DOAJ
language English
format Article
sources DOAJ
author Yuji Sakuno
Akihiro Maeda
Akihiro Mori
Shuji Ono
Akihiro Ito
spellingShingle Yuji Sakuno
Akihiro Maeda
Akihiro Mori
Shuji Ono
Akihiro Ito
A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan
Water
red tide
chlorophyll
Sentinel-2
brackish lake
atmospheric correction
author_facet Yuji Sakuno
Akihiro Maeda
Akihiro Mori
Shuji Ono
Akihiro Ito
author_sort Yuji Sakuno
title A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan
title_short A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan
title_full A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan
title_fullStr A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan
title_full_unstemmed A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan
title_sort simple red tide monitoring method using sentinel-2 data for sustainable management of brackish lake koyama-ike, japan
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2019-05-01
description We proposed and validated a method for monitoring red tides in the brackish Lake Koyama-ike, Japan, using Sentinel-2 Multispectral Instrument (MSI) data with a 10 m spatial resolution. To achieve this objective, we acquired 36 spectral reflectance/Chla data points in the field from 2012 to 2018. We obtained a high correlation of Chla (R<sup>2</sup> = 0.83) using the proposed red tide model (<i>RI<sub>KY</sub></i> = [MSI Band 5 &#8722; MSI Band 4]/[MSI Band 5 + MSI Band 4]) and field data. Based on our results, the proposed model was also validated using five Sentinel-2/Chla datasets from April to August 2017. Chla and red tide distribution characteristics estimated from Sentinel-2 data hardly appeared from April to July, and then spread rapidly throughout the lake (more than 70%) in August. Thus, Sentinel-2 data proved to be a very powerful tool in monitoring red tides in Lake Koyama-ike.
topic red tide
chlorophyll
Sentinel-2
brackish lake
atmospheric correction
url https://www.mdpi.com/2073-4441/11/5/1044
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