Bellandur Lake in Bangalore, India represents one of the most severely polluted urban water bodies in South Asia, necessitating systematic monitoring for environmental management. This study employed Sentinel-2 Multispectral Instrument imagery to assess spatiotemporal variations in water quality parameters from January 2023 to December 2025. Six water quality indicators were derived using established remote sensing algorithms: chlorophyll-a (estimated using the Normalised Difference Chlorophyll Index as the primary method), turbidity, total suspended solids, coloured dissolved organic matter, Secchi depth, and floating algae index. A total of 100 Sentinel-2 images were processed using Google Earth Engine, yielding 93 valid observations across 28 months after excluding monsoon periods affected by cloud cover and confining analysis to complete years 2023-2025. Results indicated severely degraded conditions with mean NDCI-based chlorophyll-a of 71.31 µg/L (median 70.24 µg/L), consistently classifying the lake as hypereutrophic. Mann-Kendall trend analysis revealed statistically significant increasing trends in chlorophyll-a (τ = 0.144, p = 0.041) and floating algae index (τ = 0.419, p < 0.001), with concurrent significant decreasing trends in turbidity (p < 0.001) and total suspended solids (p = 0.001). Pixel-wise FDR-corrected trend analysis identified 33.7% of the lake area exhibiting significant increasing chlorophyll-a trends. The lake consistently exceeded Central Pollution Control Board standards, with 100% of observations surpassing permissible total suspended solids limits and 98.9% of observations classified as hypereutrophic. These findings are interpreted as indicative of relative spatial and temporal patterns given the absence of site-specific in situ calibration; however, they provide valuable baseline information for management interventions and demonstrate the utility of satellite remote sensing for monitoring polluted urban water bodies.
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SATYAM SHAH (2026) studied this question.
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