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Tigistu Wassie Agegnehu

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Open access Sep 2026

Retrieval of Optically Active and Inactive Water Quality Parameters Using Remote Sensing and Machine Learning: Evidence from Water Hyacinth-Infested Lake Tana, Ethiopia

Overall, integrating field observations, Sentinel-2 imagery, and machine learning provides an accurate, scalable, and cost-effective approach for monitoring diverse water quality parameters and offers a transferable solution for strengthening freshwater monitoring in data-scarce regions.

Lakachew Y. Alemneh, Daganchew Aklog, A. van Griensven et al. · 0 citations

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