A study on the evaluation of water-bloom using image processing
This study utilized remote sensing techniques using an unmanned aerial vehicle (UAV) with an attached multispectral sensor to monitor the Nakdong River. In this study, chlorophyll-a, an indicator of water quality and the normalization difference vegetation index (NDVI), which indicates the vitality...
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Veröffentlicht in: | Environmental science and pollution research international 2018-12, Vol.25 (36), p.36775-36780 |
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creator | Choo, Yeonwoo Kang, Guyoung Kim, Dongmin Lee, Sungjong |
description | This study utilized remote sensing techniques using an unmanned aerial vehicle (UAV) with an attached multispectral sensor to monitor the Nakdong River. In this study, chlorophyll-a, an indicator of water quality and the normalization difference vegetation index (NDVI), which indicates the vitality of plant growth was employed. NDVI images were generated using georeferenced and Orthomosaic images. The data (field samples) used to conduct the study was collected in September 2017. The relationship between the chlorophyll-a concentrations and NDVI was then examined. The results of the relationship can be used in monitoring of green algae for water quality management. |
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In this study, chlorophyll-a, an indicator of water quality and the normalization difference vegetation index (NDVI), which indicates the vitality of plant growth was employed. NDVI images were generated using georeferenced and Orthomosaic images. The data (field samples) used to conduct the study was collected in September 2017. The relationship between the chlorophyll-a concentrations and NDVI was then examined. The results of the relationship can be used in monitoring of green algae for water quality management.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-018-3578-6</identifier><identifier>PMID: 30421371</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algae ; Aquatic plants ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Chlorophyll ; Chlorophyll A - analysis ; Chlorophyta - growth & development ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring - methods ; Environmental science ; Eutrophication ; Image processing ; Image Processing, Computer-Assisted ; Plant growth ; Quality management ; Remote sensing ; Remote Sensing Technology - methods ; Republic of Korea ; Rivers ; Rivers - chemistry ; Short Research and Discussion Article ; Unmanned aerial vehicles ; Vegetation index ; Waste Water Technology ; Water Management ; Water Pollution - analysis ; Water Pollution Control ; Water quality ; Water quality management</subject><ispartof>Environmental science and pollution research international, 2018-12, Vol.25 (36), p.36775-36780</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-4de997c5cc6ba4c27f56ce38776cc9cecf272e9ef02af1522440e5e60a8ba4f3</citedby><cites>FETCH-LOGICAL-c409t-4de997c5cc6ba4c27f56ce38776cc9cecf272e9ef02af1522440e5e60a8ba4f3</cites><orcidid>0000-0001-8244-1093</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-018-3578-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-018-3578-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30421371$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Choo, Yeonwoo</creatorcontrib><creatorcontrib>Kang, Guyoung</creatorcontrib><creatorcontrib>Kim, Dongmin</creatorcontrib><creatorcontrib>Lee, Sungjong</creatorcontrib><title>A study on the evaluation of water-bloom using image processing</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>This study utilized remote sensing techniques using an unmanned aerial vehicle (UAV) with an attached multispectral sensor to monitor the Nakdong River. In this study, chlorophyll-a, an indicator of water quality and the normalization difference vegetation index (NDVI), which indicates the vitality of plant growth was employed. NDVI images were generated using georeferenced and Orthomosaic images. The data (field samples) used to conduct the study was collected in September 2017. The relationship between the chlorophyll-a concentrations and NDVI was then examined. The results of the relationship can be used in monitoring of green algae for water quality management.</description><subject>Algae</subject><subject>Aquatic plants</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Chlorophyll</subject><subject>Chlorophyll A - analysis</subject><subject>Chlorophyta - growth & development</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring - methods</subject><subject>Environmental science</subject><subject>Eutrophication</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted</subject><subject>Plant growth</subject><subject>Quality management</subject><subject>Remote sensing</subject><subject>Remote Sensing Technology - methods</subject><subject>Republic of Korea</subject><subject>Rivers</subject><subject>Rivers - chemistry</subject><subject>Short Research and Discussion Article</subject><subject>Unmanned aerial vehicles</subject><subject>Vegetation index</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution - analysis</subject><subject>Water Pollution Control</subject><subject>Water quality</subject><subject>Water quality management</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE1PAyEQhonR2Fr9AV4MiRcvKLAsLCdjGr-SJl56J5TO1m12lwq7mv57qVs1MfFEgGfemXkQOmf0mlGqbiJjWS4JZQXJclUQeYDGTDJBlND6EI2pFoKwTIgROolxTSmnmqtjNMqo4CxTbIxu73Ds-uUW-xZ3r4Dh3da97ap09SX-sB0Esqi9b3Afq3aFq8auAG-CdxB3D6foqLR1hLP9OUHzh_v59InMXh6fp3cz4gTVHRFL0Fq53Dm5sMJxVebSQVYoJZ3TDlzJFQcNJeW2ZDnnQlDIQVJbJL7MJuhqiE2d33qInWmq6KCubQu-jyZtw5VIIoqEXv5B174PbRrui2IZk4olig2UCz7GAKXZhLRb2BpGzU6uGeSalGl2co1MNRf75H7RwPKn4ttmAvgAxPTVriD8tv4_9RMI7YOt</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Choo, Yeonwoo</creator><creator>Kang, Guyoung</creator><creator>Kim, Dongmin</creator><creator>Lee, Sungjong</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8244-1093</orcidid></search><sort><creationdate>20181201</creationdate><title>A study on the evaluation of water-bloom using image processing</title><author>Choo, Yeonwoo ; Kang, Guyoung ; Kim, Dongmin ; Lee, Sungjong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-4de997c5cc6ba4c27f56ce38776cc9cecf272e9ef02af1522440e5e60a8ba4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algae</topic><topic>Aquatic plants</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Chlorophyll</topic><topic>Chlorophyll A - analysis</topic><topic>Chlorophyta - growth & development</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental Monitoring - methods</topic><topic>Environmental science</topic><topic>Eutrophication</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted</topic><topic>Plant growth</topic><topic>Quality management</topic><topic>Remote sensing</topic><topic>Remote Sensing Technology - methods</topic><topic>Republic of Korea</topic><topic>Rivers</topic><topic>Rivers - chemistry</topic><topic>Short Research and Discussion Article</topic><topic>Unmanned aerial vehicles</topic><topic>Vegetation index</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution - analysis</topic><topic>Water Pollution Control</topic><topic>Water quality</topic><topic>Water quality management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choo, Yeonwoo</creatorcontrib><creatorcontrib>Kang, Guyoung</creatorcontrib><creatorcontrib>Kim, Dongmin</creatorcontrib><creatorcontrib>Lee, Sungjong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - 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In this study, chlorophyll-a, an indicator of water quality and the normalization difference vegetation index (NDVI), which indicates the vitality of plant growth was employed. NDVI images were generated using georeferenced and Orthomosaic images. The data (field samples) used to conduct the study was collected in September 2017. The relationship between the chlorophyll-a concentrations and NDVI was then examined. The results of the relationship can be used in monitoring of green algae for water quality management.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30421371</pmid><doi>10.1007/s11356-018-3578-6</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-8244-1093</orcidid></addata></record> |
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subjects | Algae Aquatic plants Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Chlorophyll Chlorophyll A - analysis Chlorophyta - growth & development Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring - methods Environmental science Eutrophication Image processing Image Processing, Computer-Assisted Plant growth Quality management Remote sensing Remote Sensing Technology - methods Republic of Korea Rivers Rivers - chemistry Short Research and Discussion Article Unmanned aerial vehicles Vegetation index Waste Water Technology Water Management Water Pollution - analysis Water Pollution Control Water quality Water quality management |
title | A study on the evaluation of water-bloom using image processing |
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