Improved monitoring and forecasting of ecological status of European INland waters
by combining Future earth ObseRvation data and Models
The main objective of the INFORM project is:
To explore and demonstrate how the new capabilities of upcoming sensors, combined with innovative analysis techniques and the coupling with biogeochemical models can be exploited to deliver new and improved products for inland water quality monitoring addressing better the end-user demands.
The project will develop methodologies to improve existing Copernicus services and will provide a basis for new innovative Copernicus service products. This will ensure exploitation of upcoming and future space missions to the greatest possible extent for the monitoring of European inland water quality.
The sub-objectives of the INFORM project are:
- To improve atmospheric correction on the basis of the exploitation of SWIR bands (on Sentinel-2, Sentinel-3, and EnMAP/PRISMA) for turbid waters.
- To improve suspended sediment retrieval algorithms for highly turbid waters based on exploitation of the SWIR bands on Sentinel-3 and EnMAP/PRISMA.
- To develop, test and validate algorithms for automatic retrieval of the different main phytoplankton functional types and their percentage in the total biomass from hyperspectral spaceborne sensors.
- To develop a novel algorithm to estimate the absorption coefficient of yellow matter (both in dissolved and particulate form) using hyperspectral data in the UV-visible spectral region and to apply this algorithm to simulated OLCI data on Sentinel-3.
- To develop innovative methods to discriminate between macrophyte species and to determine their abundance on the basis of multi-temporal hyperspectral spaceborne data such as EnMAP/PRISMA.
- To develop and validate EO-based lake primary production algorithm exploiting the spatial and temporal dynamics observed in water bodies with Sentinel-2 and Sentinel-3 observations, combined with appropriate models.
- To develop novel approaches to study the stratification of the water body on the basis of hyperspectral satellite and in-situ data.
- To develop algorithms to derive light extinction from EO data which is one of the driving parameters in many water quality models.
- To facilitate the calibration and validation of water quality biogeochemical models for the complex interactions between temperature, nutrients, light availability, phytoplankton and macrophytes.
- To demonstrate to the end-users for pilot sites these INFORM EO-products and the improved performance of the biogeochemical modelling.
- To make recommendations on new EO techniques and additional bands for next generation EO sensors.