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.
· Remote Sensing · 0 citations