Quantifying of Cynobacterial Cholorphyll-A as an Indicator of Water Quality in Two Wetlands Using Multi-Temporal Sentinel-2 Images

Cyanobacteria rigorously affect water quality that human use for various activities ranging from drinking, to fishing and recreation, as indicated in the investigation protocol of World Health Organization (WHO). The current state of the lake necessitates constant monitoring and remote sensing is an adequate tool for the constant monitoring of the whole water body. In the present study, multi-temporal sentinel-2 images were used to assess surface water quality based on the concentration of chlorophyll a (Chl-a) of cyanobacteria and dissolved oxygen of water. Chl-a was used as an indicator for cyanobacteria bloom 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 Vadodara City, Gujarat, India were assessed from 2018 to 2022. Analysis showed that, dissolved oxygen is an important environmental factor that influenced cyanobacteria abundance. It was seen that the increased concentration of chlorophyll a, was associated with reduction in dissolved oxygen and hence deteriorated the water quality.