Project "MeadowTypes" - Satellite-based classification of meadow types successfully completed
a collaboration with Joanneum Research, was digitization project MeadowTypes, successfully completed at the Institute for Plant Production and Cultural Landscape. This project developed an effective method for classifying meadow types using remote sensing data.
First, a suitable scheme for classifying meadows based on soil information and management intensity be developed. This scheme was then supplemented with information on
- Land use,
- Topography and
- Climate expands
and extensively and intensively managed sites applied HBLFA Raumberg-Gumpenstein, a large portion of the data was kindly nature conservation departments of the federal states of Styria, Salzburg, and Upper Austria provided
The classification was performed using a model based on machine learning using spectral information from Sentinel-2 satellite data .
The developed model enables the detailed classification of meadow types on various grassland areas at a scale of 1:50,000 with an accuracy of approximately 80%. Based on this work, applications for the automated identification of meadow types in different landscapes can be further developed.
