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Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data., , , , , and . Remote. Sens., 10 (5): 786 (2018)An Optical Classification Tool for Global Lake Waters., , , , , and . Remote. Sens., 9 (5): 420 (2017)Ocean colour and land remote sensing training using beam., , , , and . IGARSS, page 7381-7384. IEEE, (2012)Land Use Change Detection in the River-Mouth Region of the Cànyoles (Valencia) Drainage Basin From 1956 to 1999.. IICAI, page 270-283. IICAI, (2003)Supervised Classifications of Optical Water Types in Spanish Inland Waters., , , , , and . Remote. Sens., 14 (21): 5568 (2022)AI for Marine, Ocean and Climate Change Monitoring., , and . Remote. Sens., 16 (1): 15 (January 2024)Retrieval of Case 2 Water Quality Parameters with Machine Learning., , , and . IGARSS, page 124-127. IEEE, (2018)Retrieval of coloured dissolved organic matter with machine learning methods., , , , and . IGARSS, page 2187-2190. IEEE, (2017)Evaluation of Atmospheric Correction Algorithms over Spanish Inland Waters for Sentinel-2 Multi Spectral Imagery Data., , , , , , , , , and . Remote. Sens., 11 (12): 1469 (2019)Retrieval of Case 2 Water Quality Parameters with Machine Learning., , , and . CoRR, (2020)