Resources

This section brings together datasets, tools, and references that support research in hydrology, water quality, and remote sensing. Here you will find curated links to open-access satellite products, in situ databases, and analytical platforms frequently used in environmental data analysis. These resources are intended to help students, researchers, and practitioners explore, visualize, and model Earth system processes using reproducible and scalable approaches. 

Datasets

Access open repositories that provide high-quality satellite and in situ data for water quality and environmental research. 

• GLORIA Dataset – Hyperspectral remote sensing reflectance and water-quality measurements for satellite validation.

• BRAZA Dataset – Bio-optical database for remote-sensing of water quality in Brazil (coastal + inland waters).

• Copernicus Browser – Sentinel-1, -2, and -3 imagery for land, ocean, and atmospheric applications.

• NASA Ocean Color Web – MODIS, VIIRS, and PACE datasets for optical and biogeochemical analysis.

• MapBiomas Collection – Annual land cover and land use mapping for Brazil.

Tools & Platforms

Explore open-source and cloud-based platforms for satellite image processing, data visualization, and geospatial modeling.

• Google Earth Engine – Cloud platform for large-scale geospatial analysis.

• HydroShare – Repository for sharing hydrologic data and models.

• GEE Tutorials – Hands-on learning resources for Earth Engine users.

• AerOC Scan – Python package designed to download, filter, and correct AERONET-OC (Aerosol Robotic Network-Ocean Color) data.

• PACE Reader - The pacereader package is designed to facilitate the use of PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) hyperspectral data