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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| Veröffentlicht in: | Water (Basel) 2019-05, Vol.11 (5), p.1044 |
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| creator | Sakuno, Yuji Maeda, Akihiro Mori, Akihiro Ono, Shuji Ito, Akihiro |
| 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 (R2 = 0.83) using the proposed red tide model (RIKY = [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. |
| doi_str_mv | 10.3390/w11051044 |
| format | Article |
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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 (R2 = 0.83) using the proposed red tide model (RIKY = [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.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w11051044</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Brackish water ; Cyanobacteria ; Data points ; Fisheries ; Lakes ; Methods ; Microorganisms ; Monitoring ; Red tides ; Remote sensing ; Rivers ; Satellites ; Sea-water ; Software ; Spatial discrimination ; Spatial resolution ; Spectral reflectance ; Surface water ; Sustainability management ; Tides</subject><ispartof>Water (Basel), 2019-05, Vol.11 (5), p.1044</ispartof><rights>COPYRIGHT 2019 MDPI AG</rights><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-4cdddf877c860238b9069ca63cc843927a8fa4533498b1bc58ceb734aebbd79b3</citedby><cites>FETCH-LOGICAL-c397t-4cdddf877c860238b9069ca63cc843927a8fa4533498b1bc58ceb734aebbd79b3</cites><orcidid>0000-0001-7157-566X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Sakuno, Yuji</creatorcontrib><creatorcontrib>Maeda, Akihiro</creatorcontrib><creatorcontrib>Mori, Akihiro</creatorcontrib><creatorcontrib>Ono, Shuji</creatorcontrib><creatorcontrib>Ito, Akihiro</creatorcontrib><title>A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan</title><title>Water (Basel)</title><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. 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Thus, Sentinel-2 data proved to be a very powerful tool in monitoring red tides in Lake Koyama-ike.</description><subject>Brackish water</subject><subject>Cyanobacteria</subject><subject>Data points</subject><subject>Fisheries</subject><subject>Lakes</subject><subject>Methods</subject><subject>Microorganisms</subject><subject>Monitoring</subject><subject>Red tides</subject><subject>Remote sensing</subject><subject>Rivers</subject><subject>Satellites</subject><subject>Sea-water</subject><subject>Software</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Spectral reflectance</subject><subject>Surface water</subject><subject>Sustainability management</subject><subject>Tides</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUU1PwzAMrRBIIODAP4jECYmOtEmb5DjGN5uQ2DhXbuqObGsykk5o_55MQwj74A-992zLSXKR0QFjit58ZxktMsr5QXKSU8FSznl2-C8_Ts5DWNBoXElZ0JPke0impluvkLxjQ2amQTJx1vTOGzsnE-w_XUM2YVdM0fbG4irNyR30QFrnyXQTejAW6igwAQtz7CKKuJbcetBLEz7JGJZIXt0WOkjNEq_JC6zBniVHLawCnv_G0-Tj4X42ekrHb4_Po-E41UyJPuW6aZpWCqFlSXMma0VLpaFkWkvOVC5AtsALxuI9dVbrQmqsBeOAdd0IVbPT5HKvu_bua4OhrxZu420cWeVFQXnJCqEiarBHzWGFlbGt6-P60RvsjHYWWxP7Q6GyXBaSlZFwtSdo70Lw2FZrbzrw2yqj1e4X1d8v2A8KNno1</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Sakuno, Yuji</creator><creator>Maeda, Akihiro</creator><creator>Mori, Akihiro</creator><creator>Ono, Shuji</creator><creator>Ito, Akihiro</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-7157-566X</orcidid></search><sort><creationdate>20190501</creationdate><title>A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan</title><author>Sakuno, Yuji ; Maeda, Akihiro ; Mori, Akihiro ; Ono, Shuji ; Ito, Akihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-4cdddf877c860238b9069ca63cc843927a8fa4533498b1bc58ceb734aebbd79b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Brackish water</topic><topic>Cyanobacteria</topic><topic>Data points</topic><topic>Fisheries</topic><topic>Lakes</topic><topic>Methods</topic><topic>Microorganisms</topic><topic>Monitoring</topic><topic>Red tides</topic><topic>Remote sensing</topic><topic>Rivers</topic><topic>Satellites</topic><topic>Sea-water</topic><topic>Software</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Spectral reflectance</topic><topic>Surface water</topic><topic>Sustainability management</topic><topic>Tides</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sakuno, Yuji</creatorcontrib><creatorcontrib>Maeda, Akihiro</creatorcontrib><creatorcontrib>Mori, Akihiro</creatorcontrib><creatorcontrib>Ono, Shuji</creatorcontrib><creatorcontrib>Ito, Akihiro</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sakuno, Yuji</au><au>Maeda, Akihiro</au><au>Mori, Akihiro</au><au>Ono, Shuji</au><au>Ito, Akihiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan</atitle><jtitle>Water (Basel)</jtitle><date>2019-05-01</date><risdate>2019</risdate><volume>11</volume><issue>5</issue><spage>1044</spage><pages>1044-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>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. 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| subjects | Brackish water Cyanobacteria Data points Fisheries Lakes Methods Microorganisms Monitoring Red tides Remote sensing Rivers Satellites Sea-water Software Spatial discrimination Spatial resolution Spectral reflectance Surface water Sustainability management Tides |
| title | A Simple Red Tide Monitoring Method using Sentinel-2 Data for Sustainable Management of Brackish Lake Koyama-ike, Japan |
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