Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
Effective water resources management and monitoring are essential amid increasing challenges posed by population growth, industrialization, urbanization, and climate change. Earth observation techniques offer promising opportunities to enhance water resources management and support informed decision-making. This study utilizes Landsat-8 OLI and Sentinel-2 MSI satellite data to estimate chlorophyl-a (chl-a) concentrations in the Nandoni reservoir, Thohoyandou, South Africa. The study estimated chl-a concentrations using random forest models with spectral bands only, spectral indices only (blue difference absorption (BDA), fluorescence line height in the violet region (FLH_violet), and normalized difference chlorophyll index (NDCI)), and combined spectral bands and spectral indices. The results showed that the models using spectral bands from both Landsat-8 OLI and Sentinel-2 MSI performed comparably. The model using Sentinel-2 MSI had a higher accuracy of estimating chl-a when spectral bands alone were used. Sentinel-2 MSI’s additional red-edge spectral bands provided a notable advantage in capturing subtle variations in chl-a concentrations. Lastly, the –chl-a concentration was higher at the edges of the Nandoni reservoir and closer to the reservoir wall
Description
Keywords
Chlorophyll-a, Nandoni Reservoir, Spectral bands, Spectral indices, Water quality
Citation
Mpakairi, K.S., Muthivhi, F.F., Dondofema, F., Munyai, L.F. and Dalu, T., 2024. Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir. Environmental Monitoring and Assessment, 196(4), p.401.