An empirical approach for deriving specific inland water quality parameters from high spatio-spectral resolution image
Inland lake of Vembanad has benefited from continuous monitoring to evaluate water quality which has declined due to increased anthropogenic activities and climate change. Remote sensing techniques can be used to estimate and monitor inland water quality both spatially and temporally. An empirical m...
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| Veröffentlicht in: | Wetlands ecology and management 2022-04, Vol.30 (2), p.405-422 |
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| description | Inland lake of Vembanad has benefited from continuous monitoring to evaluate water quality which has declined due to increased anthropogenic activities and climate change. Remote sensing techniques can be used to estimate and monitor inland water quality both spatially and temporally. An empirical model is presented in Vemaband lake that retrieves the specific water quality parameters through correlations between various spectral wavelengths of Sentinel-2MSI (S2MSI) with field-measured water quality parameters. This approach includes the combinations of various bands, band ratios, and band arithmetic computation of satellite sensors of spectral datasets. The specific inland water quality parameters such as chlorophyll-
a
(chl-
a
), total suspended solids (TSS), turbidity, and secchi disc depth (SDD) were retrieved from the developed water quality model through Sentinel-2A remote sensing reflectance. The result illustrates that Specific Inland Water Quality Parameters (SIWQP) strongly correlated with S2MSI reflection spectral wavelengths. The SIWQP models are constructed for TSS (R
2
= 0.8008), Chl-
a
(R
2
= 0.8055), Turbidity (R
2
= 0.6329) and SDD (R
2
= 0.7174).The spatial distribution of SIWQPs in Vembanad lake for March 2018 is mapped and shows the lake's water quality distribution. The research from Sentinel-2, MSI has potential and is appropriate in high spectral and spatial characteristics for retrieving and continuous monitoring of water quality parameters in the regional scale of inland water bodies. |
| doi_str_mv | 10.1007/s11273-022-09874-4 |
| format | Article |
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a
(chl-
a
), total suspended solids (TSS), turbidity, and secchi disc depth (SDD) were retrieved from the developed water quality model through Sentinel-2A remote sensing reflectance. The result illustrates that Specific Inland Water Quality Parameters (SIWQP) strongly correlated with S2MSI reflection spectral wavelengths. The SIWQP models are constructed for TSS (R
2
= 0.8008), Chl-
a
(R
2
= 0.8055), Turbidity (R
2
= 0.6329) and SDD (R
2
= 0.7174).The spatial distribution of SIWQPs in Vembanad lake for March 2018 is mapped and shows the lake's water quality distribution. The research from Sentinel-2, MSI has potential and is appropriate in high spectral and spatial characteristics for retrieving and continuous monitoring of water quality parameters in the regional scale of inland water bodies.</description><identifier>ISSN: 0923-4861</identifier><identifier>EISSN: 1572-9834</identifier><identifier>DOI: 10.1007/s11273-022-09874-4</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Anthropogenic factors ; Biomedical and Life Sciences ; Chlorophyll ; Chlorophyll a ; Climate change ; Computation ; Conservation Biology/Ecology ; Distribution ; Environmental Law/Policy/Ecojustice ; Freshwater & Marine Ecology ; Hydrology/Water Resources ; Image quality ; Inland waters ; Lakes ; Life Sciences ; Marine & Freshwater Sciences ; Mathematical models ; Mathematics ; Original Paper ; Parameters ; Reflectance ; Remote monitoring ; Remote sensing ; Secchi discs ; Solid suspensions ; Spatial distribution ; Spectra ; Spectral resolution ; Suspended particulate matter ; Total suspended solids ; Turbidity ; Water depth ; Water monitoring ; Water quality ; Water quality management ; Water quality measurements ; Water Quality/Water Pollution ; Wave reflection ; Wavelengths</subject><ispartof>Wetlands ecology and management, 2022-04, Vol.30 (2), p.405-422</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-5012851afc619cd9bd5b8b19e75545948b0071c6a4f662c7e57d70297e3f4dc13</citedby><cites>FETCH-LOGICAL-c249t-5012851afc619cd9bd5b8b19e75545948b0071c6a4f662c7e57d70297e3f4dc13</cites><orcidid>0000-0002-2060-2194</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/s11273-022-09874-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11273-022-09874-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Sivakumar, R.</creatorcontrib><creatorcontrib>Prasanth, B. R. Sri Vishnu</creatorcontrib><creatorcontrib>Ramaraj, M.</creatorcontrib><title>An empirical approach for deriving specific inland water quality parameters from high spatio-spectral resolution image</title><title>Wetlands ecology and management</title><addtitle>Wetlands Ecol Manage</addtitle><description>Inland lake of Vembanad has benefited from continuous monitoring to evaluate water quality which has declined due to increased anthropogenic activities and climate change. Remote sensing techniques can be used to estimate and monitor inland water quality both spatially and temporally. An empirical model is presented in Vemaband lake that retrieves the specific water quality parameters through correlations between various spectral wavelengths of Sentinel-2MSI (S2MSI) with field-measured water quality parameters. This approach includes the combinations of various bands, band ratios, and band arithmetic computation of satellite sensors of spectral datasets. The specific inland water quality parameters such as chlorophyll-
a
(chl-
a
), total suspended solids (TSS), turbidity, and secchi disc depth (SDD) were retrieved from the developed water quality model through Sentinel-2A remote sensing reflectance. The result illustrates that Specific Inland Water Quality Parameters (SIWQP) strongly correlated with S2MSI reflection spectral wavelengths. The SIWQP models are constructed for TSS (R
2
= 0.8008), Chl-
a
(R
2
= 0.8055), Turbidity (R
2
= 0.6329) and SDD (R
2
= 0.7174).The spatial distribution of SIWQPs in Vembanad lake for March 2018 is mapped and shows the lake's water quality distribution. The research from Sentinel-2, MSI has potential and is appropriate in high spectral and spatial characteristics for retrieving and continuous monitoring of water quality parameters in the regional scale of inland water bodies.</description><subject>Anthropogenic factors</subject><subject>Biomedical and Life Sciences</subject><subject>Chlorophyll</subject><subject>Chlorophyll a</subject><subject>Climate change</subject><subject>Computation</subject><subject>Conservation Biology/Ecology</subject><subject>Distribution</subject><subject>Environmental Law/Policy/Ecojustice</subject><subject>Freshwater & Marine Ecology</subject><subject>Hydrology/Water Resources</subject><subject>Image quality</subject><subject>Inland waters</subject><subject>Lakes</subject><subject>Life Sciences</subject><subject>Marine & Freshwater Sciences</subject><subject>Mathematical models</subject><subject>Mathematics</subject><subject>Original Paper</subject><subject>Parameters</subject><subject>Reflectance</subject><subject>Remote monitoring</subject><subject>Remote sensing</subject><subject>Secchi discs</subject><subject>Solid suspensions</subject><subject>Spatial distribution</subject><subject>Spectra</subject><subject>Spectral resolution</subject><subject>Suspended particulate matter</subject><subject>Total suspended solids</subject><subject>Turbidity</subject><subject>Water depth</subject><subject>Water monitoring</subject><subject>Water quality</subject><subject>Water quality management</subject><subject>Water quality measurements</subject><subject>Water Quality/Water Pollution</subject><subject>Wave reflection</subject><subject>Wavelengths</subject><issn>0923-4861</issn><issn>1572-9834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kM1OAyEURonRxFp9AVckrlFgYBiWTaPWpIkbXROGgSnN_BVmavr2UsfEnSuSm-98l3sAuCf4kWAsniIhVGQIU4qwLARD7AIsCBcUySJjl2CBJc0QK3JyDW5i3GOcMEkW4LjqoG0HH7zRDdTDEHptdtD1AVY2-KPvahgHa7zzBvqu0V0Fv_RoAzxMuvHjCQ466NamSYQu9C3c-XqXED36Hp3JMaTiYGPfTGnUQd_q2t6CK6ebaO9-3yX4fHn-WG_Q9v31bb3aIkOZHBHHhBacaGdyIk0ly4qXRUmkFZwzLllRpuOJyTVzeU6NsFxUAlMpbOZYZUi2BA9zb7rrMNk4qn0_hS6tVDRPOjLKRJFSdE6Z0McYrFNDSN8MJ0WwOvtVs1-V_Kofv4olKJuhmMJdbcNf9T_UN_Dgf6E</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Sivakumar, R.</creator><creator>Prasanth, B. 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Sri Vishnu ; Ramaraj, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-5012851afc619cd9bd5b8b19e75545948b0071c6a4f662c7e57d70297e3f4dc13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anthropogenic factors</topic><topic>Biomedical and Life Sciences</topic><topic>Chlorophyll</topic><topic>Chlorophyll a</topic><topic>Climate change</topic><topic>Computation</topic><topic>Conservation Biology/Ecology</topic><topic>Distribution</topic><topic>Environmental Law/Policy/Ecojustice</topic><topic>Freshwater & Marine Ecology</topic><topic>Hydrology/Water Resources</topic><topic>Image quality</topic><topic>Inland waters</topic><topic>Lakes</topic><topic>Life Sciences</topic><topic>Marine & Freshwater Sciences</topic><topic>Mathematical models</topic><topic>Mathematics</topic><topic>Original Paper</topic><topic>Parameters</topic><topic>Reflectance</topic><topic>Remote monitoring</topic><topic>Remote sensing</topic><topic>Secchi discs</topic><topic>Solid suspensions</topic><topic>Spatial distribution</topic><topic>Spectra</topic><topic>Spectral resolution</topic><topic>Suspended particulate matter</topic><topic>Total suspended solids</topic><topic>Turbidity</topic><topic>Water depth</topic><topic>Water monitoring</topic><topic>Water quality</topic><topic>Water quality management</topic><topic>Water quality measurements</topic><topic>Water Quality/Water Pollution</topic><topic>Wave reflection</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sivakumar, R.</creatorcontrib><creatorcontrib>Prasanth, B. 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Sri Vishnu</creatorcontrib><creatorcontrib>Ramaraj, M.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</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>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Wetlands ecology and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sivakumar, R.</au><au>Prasanth, B. R. Sri Vishnu</au><au>Ramaraj, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An empirical approach for deriving specific inland water quality parameters from high spatio-spectral resolution image</atitle><jtitle>Wetlands ecology and management</jtitle><stitle>Wetlands Ecol Manage</stitle><date>2022-04-01</date><risdate>2022</risdate><volume>30</volume><issue>2</issue><spage>405</spage><epage>422</epage><pages>405-422</pages><issn>0923-4861</issn><eissn>1572-9834</eissn><abstract>Inland lake of Vembanad has benefited from continuous monitoring to evaluate water quality which has declined due to increased anthropogenic activities and climate change. Remote sensing techniques can be used to estimate and monitor inland water quality both spatially and temporally. An empirical model is presented in Vemaband lake that retrieves the specific water quality parameters through correlations between various spectral wavelengths of Sentinel-2MSI (S2MSI) with field-measured water quality parameters. This approach includes the combinations of various bands, band ratios, and band arithmetic computation of satellite sensors of spectral datasets. The specific inland water quality parameters such as chlorophyll-
a
(chl-
a
), total suspended solids (TSS), turbidity, and secchi disc depth (SDD) were retrieved from the developed water quality model through Sentinel-2A remote sensing reflectance. The result illustrates that Specific Inland Water Quality Parameters (SIWQP) strongly correlated with S2MSI reflection spectral wavelengths. The SIWQP models are constructed for TSS (R
2
= 0.8008), Chl-
a
(R
2
= 0.8055), Turbidity (R
2
= 0.6329) and SDD (R
2
= 0.7174).The spatial distribution of SIWQPs in Vembanad lake for March 2018 is mapped and shows the lake's water quality distribution. The research from Sentinel-2, MSI has potential and is appropriate in high spectral and spatial characteristics for retrieving and continuous monitoring of water quality parameters in the regional scale of inland water bodies.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11273-022-09874-4</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-2060-2194</orcidid></addata></record> |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Anthropogenic factors Biomedical and Life Sciences Chlorophyll Chlorophyll a Climate change Computation Conservation Biology/Ecology Distribution Environmental Law/Policy/Ecojustice Freshwater & Marine Ecology Hydrology/Water Resources Image quality Inland waters Lakes Life Sciences Marine & Freshwater Sciences Mathematical models Mathematics Original Paper Parameters Reflectance Remote monitoring Remote sensing Secchi discs Solid suspensions Spatial distribution Spectra Spectral resolution Suspended particulate matter Total suspended solids Turbidity Water depth Water monitoring Water quality Water quality management Water quality measurements Water Quality/Water Pollution Wave reflection Wavelengths |
| title | An empirical approach for deriving specific inland water quality parameters from high spatio-spectral resolution image |
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