Skip to main content
Metrics
64,351 Downloads
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

11 to 20 of 3,611 Results
Plain Text - 16.6 KB - MD5: 23af46c96e23b7e69690816fe8372b0f
R script containing the combined analysis of both reservoirs, including comparative statistical analyses.
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.
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.
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.
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.
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.
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.
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.
Tab-Delimited - 7.4 KB - MD5: 8960552af198b2c3f2cb41f6f95f3320
Dataset containing Secchi Disk depth measurements and corresponding Sentinel-2 Level-2A surface reflectance values for the Alto Rabagão Reservoir.
Tab-Delimited - 2.6 KB - MD5: 51fd0cf43e74cda808365bcfe0de6e12
Final dataset used for calibration and validation of the Chlorophyll-a prediction model for the Aguieira Reservoir.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Repositório de Dados da Universidade do Minho Support

Repositório de Dados da Universidade do Minho Support

Please fill this out to prove you are not a robot.

+ =