Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir

Simple item page
dc.contributor.authorMpakairi, Kudzai Shaun
dc.contributor.authorMuthivhi, Faith
dc.contributor.authorDondofema, Farai
dc.date.accessioned2025-01-21T08:33:37Z
dc.date.available2025-01-21T08:33:37Z
dc.date.issued2024
dc.description.abstractEffective 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
dc.identifier.citationMpakairi, 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.
dc.identifier.urihttps://doi.org/10.1007/s10661-024-12554-w
dc.identifier.urihttps://hdl.handle.net/10566/19846
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.subjectChlorophyll-a
dc.subjectNandoni Reservoir
dc.subjectSpectral bands
dc.subjectSpectral indices
dc.subjectWater quality
dc.titleChlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
mapakiri_chlorophyll‑a unveiled_unlocking_reservoir_insights_2024.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Articles (Earth Sciences)