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Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Jul 17, 2026 - 2Qua Lauriuchi, 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] This 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 li...
00_ReadMe_rev.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 11.8 KB - MD5: a549b6fb256139ffb4fae62c827ba10e This 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.
1_Alto_Rabagao_Analysis.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 21.1 KB - MD5: e4eed436ea799e1dc394aa96d42bdab3 R script containing the descriptive statistical analysis, trend analysis (Mann-Kendall), and exploratory analyses performed for the Alto Rabagão Reservoir.
2_Aguieira_Analysis.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 42.0 KB - MD5: 4dbbb4c8a631b5c2d333f7a126514cc8 R script containing the descriptive statistical analysis, trend analysis (Mann-Kendall), and exploratory analyses performed for the Aguieira Reservoir.
3_Combined_Analysis.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 16.6 KB - MD5: 23af46c96e23b7e69690816fe8372b0f R script containing the combined analysis of both reservoirs, including comparative statistical analyses.
4_Final_model_CHL_A_RB.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 1.4 KB - MD5: 760cb5e7c9342fcf78216c4871053f2c JavaScript 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.
5_Final_model_SD_RB.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 1.5 KB - MD5: 6ae33273226b164336b051eedd4d667f JavaScript 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.
7_Final_model_CHL_A_AG.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 1.7 KB - MD5: bd58ac758b64dda4e1fa72ed2c751a3e JavaScript 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.
8_Final_model_SD_AG.txt Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Plain Text - 2.9 KB - MD5: 06a678900c6676e833bc2758d85012a8 JavaScript 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.
Aguieira_Reservoir_Chlorophyll_Reflectance_Dataset.tab Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Tab-Delimited - 6.5 KB - MD5: 5144c1ac9e247c54ce1d8090499972cc Dataset containing in situ Chlorophyll-a concentrations and corresponding Sentinel-2 surface reflectance values extracted for the Aguieira Reservoir.

Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Jul 17, 2026 - 2Qua

Lauriuchi, 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]

This 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 li...

00_ReadMe_rev.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 11.8 KB - MD5: a549b6fb256139ffb4fae62c827ba10e

This 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.

1_Alto_Rabagao_Analysis.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 21.1 KB - MD5: e4eed436ea799e1dc394aa96d42bdab3

R script containing the descriptive statistical analysis, trend analysis (Mann-Kendall), and exploratory analyses performed for the Alto Rabagão Reservoir.

2_Aguieira_Analysis.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 42.0 KB - MD5: 4dbbb4c8a631b5c2d333f7a126514cc8

R script containing the descriptive statistical analysis, trend analysis (Mann-Kendall), and exploratory analyses performed for the Aguieira Reservoir.

3_Combined_Analysis.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 16.6 KB - MD5: 23af46c96e23b7e69690816fe8372b0f

R script containing the combined analysis of both reservoirs, including comparative statistical analyses.

4_Final_model_CHL_A_RB.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 1.4 KB - MD5: 760cb5e7c9342fcf78216c4871053f2c

JavaScript 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.

5_Final_model_SD_RB.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 1.5 KB - MD5: 6ae33273226b164336b051eedd4d667f

JavaScript 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.

7_Final_model_CHL_A_AG.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 1.7 KB - MD5: bd58ac758b64dda4e1fa72ed2c751a3e

JavaScript 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.

8_Final_model_SD_AG.txt

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Plain Text - 2.9 KB - MD5: 06a678900c6676e833bc2758d85012a8

JavaScript 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.

Aguieira_Reservoir_Chlorophyll_Reflectance_Dataset.tab

Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery

Tab-Delimited - 6.5 KB - MD5: 5144c1ac9e247c54ce1d8090499972cc

Dataset containing in situ Chlorophyll-a concentrations and corresponding Sentinel-2 surface reflectance values extracted for the Aguieira Reservoir.

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