Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagerydoi:10.34622/datarepositorium/TFICCJRepositório de Dados da Universidade do Minho2026-07-171Lauriuchi, Geissielen A.; Guimarães, Catarina; Pace, Giorgio; Caballero, Gabriel R.; Sòria-Perpinyà, Xavier; Pompêo, Marcelo; Delegido, Jesús; Antunes, C. Sara, 2026, "Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery", https://doi.org/10.34622/datarepositorium/TFICCJ, Repositório de Dados da Universidade do Minho, V1, UNF:6:IHBREBytzsq/qi+9E4o6+Q== [fileUNF]Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagerydoi:10.34622/datarepositorium/TFICCJLauriuchi, Geissielen A.Guimarães, CatarinaPace, GiorgioCaballero, Gabriel R.Sòria-Perpinyà, XavierPompêo, MarceloDelegido, JesúsAntunes, C. SaraAntunes, Sara C.RCopernicus Browser platformhttps://doi.org/10.54499/2023.17517.ICDTRepositório de Dados da Universidade do MinhoPace, GiorgioC. Antunes, SaraPace, Giorgio2026-07-03Concerning in situ data, APA/SNIRH monitoring program provided bimonthly measurements collected at the official monitoring stations between 2014 and 2024.Complementarily, the research group conducted seasonal field campaigns in 2023 and 2024, with four sampling surveys per year representing winter, spring, summer, and autumn conditions at the three sampling locations. Sentinel-2 Level-2A (surface reflectance) images were obtained from the Copernicus Browser platform. Image selection followed strict criteria, including a maximum temporal difference of ±3 days relative to in situ sampling dates, cloud cover below 30%, and the absence of visible atmospheric artifacts over the reservoir.Earth and Environmental Scienceschlorophyll-aSecchi deptheutrophicationoptical water qualityThis 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 4.5.2.20142024in situ dataEarth Observation (EO) data form Copernicus Browser plataform (Sentinel-2 Level-2A)PortugalVila Real, Northern PortugalAlto Rabagão (Rb) reservoirPortugalCoimbra/Viseu, Central PortugalAguieira (Ag) reservoirThis research was funded by national funds through FCT—Fundação para a Ciência e a Tecnologia, I.P., and by the European Commission’s Recovery and Resilience Facility, within the scope of UID/04423/2025 (https://doi.org/10.54499/UID/04423/2025), UID/PRR/04423/2025 (https://doi.org/10.54499/UID/PRR/04423/2025), and LA/P/0101/2020 (https://doi.org/10.544 99/LA/P/0101/2020). This research was also funded by project “2Qua—Water Quality and Quantity, the challenge for the present and future” (ref. COMPETE2030-FEDER-0691700—https://doi.org/10 .54499/2023.17517.ICDT) which is supported by European funds, through COMPETE2030, and by national funds, through the Foundation for Science and Technology (FCT, Portugal). This study also had the support of FCT through the project LA/P/0069/2020 granted to the Associate Laboratory ARNET https://doi.org/10.54499/LA/P/0069/2020) by the “Contrato-Programa” UID/04050/2025 funded by FCT I.P. (https://doi.org/10.54499/UID/04050/2025). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.CC BY-NC-SA 4.010.3390/w18131650Lauriuchi, 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. 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file contains info for the spatiotemporal assessment and water quality modeling in two Portuguese reservoirs with contrasting trophic conditions: Alto Rabagão (Rb, oligo-mesotrophic system) and Aguieira (Ag, eutrophic system), covering the period from 2014 to 2024. text/plain1_Alto_Rabagao_Analysis.txtR script containing the descriptive statistical analysis, trend analysis (Mann-Kendall), and exploratory analyses performed for the Alto Rabagão Reservoir. text/plain2_Aguieira_Analysis.txtR script containing the descriptive statistical analysis, trend analysis (Mann-Kendall), and exploratory analyses performed for the Aguieira Reservoir.text/plain3_Combined_Analysis.txtR script containing the combined analysis of both reservoirs, including comparative statistical analyses. text/plain4_Final_model_CHL_A_RB.txtJavaScript Evalscript implementing the final Chlorophyll-a prediction model for the Alto Rabagão Reservoir. This script was developed to run in the Copernicus Browser, automatically generating spatial and temporal Chlorophyll-a maps from Sentinel-2 imagery. text/plain5_Final_model_SD_RB.txtJavaScript Evalscript implementing the final Secchi Disk depth prediction model for the Alto Rabagão Reservoir. Designed for execution in the Copernicus Browser to generate spatial and temporal water transparency maps from Sentinel-2 imagery. text/plain7_Final_model_CHL_A_AG.txtJavaScript Evalscript implementing the final Chlorophyll-a prediction model for the Aguieira Reservoir. The script is intended for use within the Copernicus Browser to produce spatial and temporal Chlorophyll-a maps from Sentinel-2 imagery. text/plain8_Final_model_SD_AG.txtJavaScript Evalscript implementing the final Secchi Disk depth prediction model for the Aguieira Reservoir. Developed for execution in the Copernicus Browser, enabling the generation of spatial and temporal water transparency maps from Sentinel-2 imagery. text/plain