Imagine trying to fix a giant, leaky sponge that cleans our water and traps pollution, but you don't have a map of where the holes are. This work creates a digital guidebook and a set of smart tools to find the best spots to repair these wetlands. It uses satellite data and ground measurements to show exactly where restoration will give the biggest bang for the buck.
Companies and governments struggle to identify which wetland areas provide the highest return on investment for carbon sequestration and biodiversity. Lack of standardized data makes large-scale restoration risky and expensive.
A decision support system for policymakers, an app for visualizing wetland status, and Earth Observation-based models for hydrological and biological conditions.
If you are a sustainability consultancy dealing with complex land restoration bids — this project developed a decision support system that identifies priority hotspots where biodiversity benefits are greatest with minimum investment. This allows for more precise project planning and cost estimation.
If you are a software provider dealing with land use optimization — this project developed Earth Observation-based models that evaluate hydrological conditions with up to 90% deviance explained in test areas. This data can be integrated into land management tools to optimize water table dynamics.
If you are a carbon credit developer dealing with the difficulty of measuring peatland sequestration — this project compiled a dataset of over 1200 entries of greenhouse gas fluxes. This provides a scientific basis for calculating carbon offsets from rewetted peatlands.
Based on available project data, the results will be available in open access repositories, suggesting the core data and guidelines may be free to use.
Yes, the project specifically aims to develop tools for upscaling wetland restoration and provides guidelines for large scale restoration action across 7 catchments in Europe.
Based on available project data, the project emphasizes open access repositories to maximize outreach, though specific licensing for the app is not detailed.
The project results are designed to promote more ambitious legislation for protecting and restoring European wetlands to meet climate neutrality by 2050.
The project period runs until 2026-08-31, indicating that final refined tools and guidelines will be completed by that date.
The consortium is heavily academic, consisting of 15 partners from 7 countries, with 7 universities and 4 research organizations. There is a notable absence of industry partners (0% ratio) and SMEs, meaning the current output is highly scientific and requires a commercial partner to translate the models into market-ready products.
Contact Aarhus Universitet (DK) for access to the open access repositories.
Contact us to find a commercial partner to productize these wetland restoration models.
