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Despite substantial progress in Remote Sensing (RS)-based estimation of Water Quality Parameters (WQPs) using Machine Learning (ML) models, there remains a lack of end-to-end software that automates the entire workflow. To address this gap, this paper introduces WQEye (v1), an open-source software offering a user-friendly interface comprising six modular components: (1) Data loader; (2) RS samplin
