Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imageryhttps://doi.org/10.34622/datarepositorium/TFICCJLauriuchi, Geissielen A.Guimarães, CatarinaPace, GiorgioCaballero, Gabriel R.Sòria-Perpinyà, XavierPompêo, MarceloDelegido, JesúsAntunes, C. SaraRepositório de Dados da Universidade do Minho2026-07-172026-07-17T13:39:09ZThis dataset contain data and scripts used in the analyses presented in the manuscript. The files are organised in the same sequence in which they were applied throughout the study, allowing the complete reproduction of the analytical workflow, from the statistical analysis of limnological data to the generation of spatial distribution maps using Sentinel-2 imagery. All statistical analyses were developed and executed using R version 4.5.2.Earth and Environmental Scienceschlorophyll-aSecchi deptheutrophicationoptical water qualityLauriuchi, G.A., Guimarães, C. , Pace, G., Caballero, G.R., Sòria-Perpinyà, X. Pompêo, M., Delegido, J. and Antunes, S.C. (2026). Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery. Water 2026, 18(13), 1650, doi, 10.3390/w18131650, https://doi.org/10.3390/w18131650Pace, GiorgioAntunes, Sara C.2026-07-0320142024in situ dataEarth Observation (EO) data form Copernicus Browser plataform (Sentinel-2 Level-2A)Alto Rabagão (Rb) reservoirPortugalVila Real, Northern PortugalAguieira (Ag) reservoirCoimbra/Viseu, Central PortugalPortugalNONECC BY-NC-SA 4.0