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Comparative Analysis of Regression Models for Remote Sensing-based Water Quality Assessment

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Title Comparative Analysis of Regression Models for Remote Sensing-based Water Quality Assessment
 
Creator Mohandas, K A
Brema, J
 
Subject Landsat 8 OLI
Ramsar site
Remote sensing
Sentinel 2 A
Vembanad lake
Water quality
 
Description 466-474
The 80-kilometer-long Vembanad Lake in Kerala, India, is a Ramsar site. Eutrophication is deteriorating its water quality
and threatening its biodiversity. In this study, satellite imageries of Sentinel 2A and Landsat 8 OLI were utilized to
determine its water quality. Various data sets of the water quality parameters viz. pH, Electrical conductivity, TSS, TDS,
BOD, DO, chloride etc. are analyzed and interpreted. Regression models were developed on the parameters taken up for
water quality analysis. The empirical R2 values of the developed models evidenced the accuracy of the developed mdoels.
The findings show that remote sensing images are reliable for analyzing surface water quality characteristics. The
comparative analysis of the model developed illustrated the effectiveness of using the imaging systems mentioned above for
water quality index estimation through remote sensing.
 
Date 2023-04-03T09:49:08Z
2023-04-03T09:49:08Z
2023-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61648
https://doi.org/10.56042/jsir.v82i04.61646
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(04) [April 2023]