Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images
Cyanobacteria can have a dramatic effect on the quality of water used for human activities, as reported by the World Health Organization. Remote sensing is an appropriate tool for continuous monitoring of the entire water body, given the current state of the lake. In the present study, surface water...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/2673-4931/25/1/68 |
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author | Ashwini Mudaliar Usha Pandya |
author_facet | Ashwini Mudaliar Usha Pandya |
author_sort | Ashwini Mudaliar |
collection | DOAJ |
description | Cyanobacteria can have a dramatic effect on the quality of water used for human activities, as reported by the World Health Organization. Remote sensing is an appropriate tool for continuous monitoring of the entire water body, given the current state of the lake. In the present study, surface water quality was evaluated using multi-temporal sentinel-2 images based on cyanobacteria’s concentration of chlorophyll a (Chl-a) and the water’s dissolved oxygen content. Chl-a was used as an indicator of cyanobacterial blooms, and dissolved oxygen was used as an indicator of water quality. Dissolved oxygen was generated using Sentinel 2 dataset. For the present study, two wetlands, Wadhwana and Timbi, in Vadodara City, Gujarat, India, were assessed from 2018 to 2022. Analysis showed that dissolved oxygen is an important environmental factor that influences cyanobacteria abundance. It was seen that the increased concentration of chlorophyll a was associated with a reduction in dissolved oxygen and hence deteriorated the water quality. |
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issn | 2673-4931 |
language | English |
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spelling | doaj.art-d75b8e33e51a420f8f9158c6ddae3a2d2023-11-18T10:19:57ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-03-012516810.3390/ECWS-7-14252Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 ImagesAshwini Mudaliar0Usha Pandya1Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390002, IndiaDepartment of Botany, Government College, Daman 396210, IndiaCyanobacteria can have a dramatic effect on the quality of water used for human activities, as reported by the World Health Organization. Remote sensing is an appropriate tool for continuous monitoring of the entire water body, given the current state of the lake. In the present study, surface water quality was evaluated using multi-temporal sentinel-2 images based on cyanobacteria’s concentration of chlorophyll a (Chl-a) and the water’s dissolved oxygen content. Chl-a was used as an indicator of cyanobacterial blooms, and dissolved oxygen was used as an indicator of water quality. Dissolved oxygen was generated using Sentinel 2 dataset. For the present study, two wetlands, Wadhwana and Timbi, in Vadodara City, Gujarat, India, were assessed from 2018 to 2022. Analysis showed that dissolved oxygen is an important environmental factor that influences cyanobacteria abundance. It was seen that the increased concentration of chlorophyll a was associated with a reduction in dissolved oxygen and hence deteriorated the water quality.https://www.mdpi.com/2673-4931/25/1/68water qualityRamsarwetlandSentinel-2chlorophyll atemp |
spellingShingle | Ashwini Mudaliar Usha Pandya Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images Environmental Sciences Proceedings water quality Ramsar wetland Sentinel-2 chlorophyll a temp |
title | Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images |
title_full | Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images |
title_fullStr | Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images |
title_full_unstemmed | Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images |
title_short | Assessment of Cyanobacterial Chlorophyll A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images |
title_sort | assessment of cyanobacterial chlorophyll a as an indicator of water quality in two wetlands using multi temporal sentinel 2 images |
topic | water quality Ramsar wetland Sentinel-2 chlorophyll a temp |
url | https://www.mdpi.com/2673-4931/25/1/68 |
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