Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India
The present study focuses on estimating the Trophic State Index (TSI) of Renuka Lake, the smallest Ramsar site in India, utilizing in-situ observed Secchi disk transparency (SDT) and satellite data. Site-specific algorithms were developed by establishing the relationship between the spectral band ra...
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| Language: | English |
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Technoscience Publications
2024-12-01
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| Series: | Nature Environment and Pollution Technology |
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| Online Access: | https://neptjournal.com/upload-images/(10)B-4157.pdf |
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| author | Sujit Kumar Jally, Rakesh Kumar and Sibabrata Das |
| author_facet | Sujit Kumar Jally, Rakesh Kumar and Sibabrata Das |
| author_sort | Sujit Kumar Jally, Rakesh Kumar and Sibabrata Das |
| collection | DOAJ |
| description | The present study focuses on estimating the Trophic State Index (TSI) of Renuka Lake, the smallest Ramsar site in India, utilizing in-situ observed Secchi disk transparency (SDT) and satellite data. Site-specific algorithms were developed by establishing the relationship between the spectral band ratio of Landsat 8 OLI and LISS-III with that of in-situ measured SDT data. Notably, the exponential regression model outperformed other regression models (linear, logarithmic, polynomial, and power), achieving a better model output (R2=0.94). Additionally, water quality parameters, namely pH and dissolved oxygen (DO), were measured using the TROLL 9500 multi-parameter instrument. Various interpolation methods were applied to the in-situ data, with the exponential regression model yielding the most accurate results.This method was subsequently selected to generate two-dimensional water-quality images of Renuka Lake. The combined analysis of in-situ and satellite-derived trophic status indicates the eutrophic to hypereutrophic condition of the lake’s eastern and western parts. Satellite imagery spanning 2010-2019 consistently reveals a eutrophic state in the lake, with fluctuations in intensity over the period. The sustained eutrophic condition is attributed to escalating human-induced activities surrounding the lake, particularly in the western region. |
| format | Article |
| id | doaj-art-2823d8d4c8f94d959bd2e050c061388e |
| institution | Kabale University |
| issn | 0972-6268 2395-3454 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Technoscience Publications |
| record_format | Article |
| series | Nature Environment and Pollution Technology |
| spelling | doaj-art-2823d8d4c8f94d959bd2e050c061388e2025-01-20T07:13:35ZengTechnoscience PublicationsNature Environment and Pollution Technology0972-62682395-34542024-12-012342025203810.46488/NEPT.2024.v23i04.010Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, IndiaSujit Kumar Jally, Rakesh Kumar and Sibabrata DasThe present study focuses on estimating the Trophic State Index (TSI) of Renuka Lake, the smallest Ramsar site in India, utilizing in-situ observed Secchi disk transparency (SDT) and satellite data. Site-specific algorithms were developed by establishing the relationship between the spectral band ratio of Landsat 8 OLI and LISS-III with that of in-situ measured SDT data. Notably, the exponential regression model outperformed other regression models (linear, logarithmic, polynomial, and power), achieving a better model output (R2=0.94). Additionally, water quality parameters, namely pH and dissolved oxygen (DO), were measured using the TROLL 9500 multi-parameter instrument. Various interpolation methods were applied to the in-situ data, with the exponential regression model yielding the most accurate results.This method was subsequently selected to generate two-dimensional water-quality images of Renuka Lake. The combined analysis of in-situ and satellite-derived trophic status indicates the eutrophic to hypereutrophic condition of the lake’s eastern and western parts. Satellite imagery spanning 2010-2019 consistently reveals a eutrophic state in the lake, with fluctuations in intensity over the period. The sustained eutrophic condition is attributed to escalating human-induced activities surrounding the lake, particularly in the western region.https://neptjournal.com/upload-images/(10)B-4157.pdfliss-iii, landsat-8 oli, renuka lake, trophic state index |
| spellingShingle | Sujit Kumar Jally, Rakesh Kumar and Sibabrata Das Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India Nature Environment and Pollution Technology liss-iii, landsat-8 oli, renuka lake, trophic state index |
| title | Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India |
| title_full | Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India |
| title_fullStr | Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India |
| title_full_unstemmed | Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India |
| title_short | Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India |
| title_sort | integrating satellite data and in situ observations for trophic state assessment of renuka lake himachal pradesh india |
| topic | liss-iii, landsat-8 oli, renuka lake, trophic state index |
| url | https://neptjournal.com/upload-images/(10)B-4157.pdf |
| work_keys_str_mv | AT sujitkumarjallyrakeshkumarandsibabratadas integratingsatellitedataandinsituobservationsfortrophicstateassessmentofrenukalakehimachalpradeshindia |