Welcome to Fléttan
We map and assess soil erosion risk using satellite data, machine learning and the latest scientific research to find land that needs to be protected.
About Us
Fléttan is a cross-functional team of five people with different, complementing skills, and interests but with a shared belief in the project.
About Fléttan
Fléttan is a predictive algorithm that measures the risk of soil erosion more accurately and integratively than any other existing model for the Arctic region.
This is accomplished by harvesting earth observation data from the Sentinel-2 satellite, calibrating satellite data with localized historical data, and implementing state-of-the-art Machine Learning classification algorithms.
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Unlike other existing models, Fléttan goes further than just providing its customers with Earth Observation (EO) layers of arable and coastal regions.
Our integrative solution yields objective soil erosion risk values that are displayed on a subscription-based map.
Fléttan has opened a new beachhead market capable of assisting Terrestrial Ecosystems Monitoring and Environmental Auditing services in fulfilling their purposes.
The demand for soil erosion risk predictive maps is on the rise globally, due to the increasing concern about environmental issues and new governmental policy regulations, such as the reform of the European Common Agricultural Policy (CAP) and the Sustainable Development Goals (SDGs). Earth Observation and satellite-based services have become subjects of great interest, especially within the European Economic Area.
Governments are pledging to make advancements in soil protection and soil erosion prevention, yet in many cases they are facing this challenge with outdated tools that have seen very little advancement over the last 20 years. Modern remote sensing techniques are specially relevant for the Arctic region, where many regions are hardly accessible on land.
The Soil Conservation Service of Iceland (Landgræðslan) is providing us with ground truth data obtained on site, crucial for the construction of our model.
Our first prototype will be beta-tested by Landgræðslan and further technical developments will be made based on their expert feedback.
The first interface will meet the specific needs of project GróLindar at Landgræðslan, however we will continue to acquire data and features that suit other viable markets.
