Accessible documentation

Vegetation Indices

EOPro’s Action Creator workflows are grounded in well-established indices, backed by peer-reviewed methodologies, ensuring traceability. The application implements standard vegetation indices calculated using consistent, scientifically validated algorithms applied to Sentinel 2 ARD imagery.

• NDVI. Normalized Difference Vegetation Index. Citation: NASA Technical Report (1974)
  
• SAVI. Soil Adjusted Vegetation Index. Citation: Huete, A.R. (1988), Remote Sensing of Environment
• EVI. Enhanced Vegetation Index. Citation: Huete et al. (2002), Remote Sensing of Environment

Land Cover Change
For land cover classification, EO Pro draws on the ESA Land Cover Climate Change Initiative (CCI), supporting confident decision-making in environmental monitoring.

Water Quality
Water Quality Analysis is implemented through a dedicated workflow preset in Action Creator. It uses Sentinel 2 ARD imagery to extract only water pixels by applying the Sentinel Water Mask (SWM) algorithm.

• SWM. Sentinel Water Mask. Citation: Sentinel 2 Water Mask

Multiple spectral indices are then calculated to assess water quality metrics, including:

• CYA. Cyanobacteria Bloom Indicator. Assesses potential harmful algal blooms. Citation: Potes et al. 2018
• CDOM. Coloured Dissolved Organic Matter. Evaluates water colour influenced by organic substances. Citation: Soria-Perpinya et al. 2021
• DOC. Dissolved Organic Carbon. Estimates levels of organic carbon in water. Citation: Potes et al. 2018
• NDWI. Normalized Difference Water Index. Identifies water presence. Citation: Sentinel 2 NDWI

These indices are computed in parallel using CWL workflows on the backend (EODH workflow runner) and are visualized as multi-index assets within the EOPro interface, allowing users to examine each indicator individually or in combination. An explanation of how Water Quality Analysis and Land Cover are derived is also included in the Action Creator Help content.

The CWL workflow scripts underpinning the application can be found in our public GitHub repository. These include:

• scatter-lulc-change
• lulc-change
• water-quality
• scatter-water-quality
• raster-calculate
• scatter-raster-calculate

To support the development of reliable validation reports, access to high-quality in-situ data within the UK would be highly beneficial. While such region-specific datasets may currently be limited, the Water Quality Analysis and Land Cover Change workflows are based on peer-reviewed studies that demonstrate the validity of results using in-situ data from various international sites, including Argentina, the Balkans, and global datasets for Land Cover. These studies can serve as a valuable reference and methodological foundation for future validation efforts.

EOPro User & Architecture Guide serves as a comprehensive guide to the functionalities available in EOPro as well as an overview of the product architecture and its respective API. The purpose of this document is to facilitate understanding of EOPro, primarily from a user perspective but also from a software architectural standpoint. For end-users, it offers detailed guidance on leveraging EOPro’s functionalities for geospatial data exploration, processing, and visualization. For technical stakeholders, it provides insights into the system’s architecture and API functionalities.