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11 to 20 of 3,939 Results

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.
Aguieira_Reservoir_SecchiDepth_and_Sentinel2_L2A_Surface_Reflectance.tab Jul 17, 2026 - Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery Tab-Delimited - 5.6 KB - MD5: da8faf7086e11bd835fccea5c04c011c Dataset containing Secchi Disk depth measurements and corresponding Sentinel-2 Level-2A surface reflectance values for the Aguieira Reservoir.
Alto_Rababao_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 - 9.9 KB - MD5: 24a6fb84470105d20861bed9a46d9475 Dataset containing in situ Chlorophyll-a concentrations and corresponding Sentinel-2 surface reflectance values extracted for the Alto Rabagão Reservoir.

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.

Aguieira_Reservoir_SecchiDepth_and_Sentinel2_L2A_Surface_Reflectance.tab

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

Tab-Delimited - 5.6 KB - MD5: da8faf7086e11bd835fccea5c04c011c

Dataset containing Secchi Disk depth measurements and corresponding Sentinel-2 Level-2A surface reflectance values for the Aguieira Reservoir.

Alto_Rababao_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 - 9.9 KB - MD5: 24a6fb84470105d20861bed9a46d9475

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

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