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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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 − 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 − 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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