This work package is dealing with the production of the best possible automated land cover and land cover changes based on a time series of Sentinel-2 data for the study area in Poland and Norway. Verification of the EAGLE concept by interlinking satellite-based land cover (LC) with land use (LU) information and other landscape characteristics (CH) derived from national databases and the products of the Copernicus Land Monitoring Service (CLMS). Coordinated by the Institute of Geodesy and Cartography (IGIK).
Specific Tasks:
Task 1.1: Land cover classification based on Sentinel-2 imagery
Task 1.2: Assessment of the existing databases
Task 1.3: Population of the land cover with the information on the land use
Current activities:
The team at IGiK is currently developing land cover classification for the pilot area at the Łódź province (Poland) and Viken country (Norway). The classification is carried out using a time series of Sentinel-2 data for the reference year 2018 and 2020. The classification is performed using the advance non-parametric machine learning algorithms.
In parallel, the teams at IGIK and NIBIO is evaluated existing land
cover databases for Poland and Norway. National databases are assessed in terms
of their accuracy, reference year, thematic content, comparability of
definitions, reliability, accessibility.
The qualitative and quantitative analysis of national databases performed
in task 1.2. is essential for the next steps (task 1.3). the aim of the task
1.3 is to enrich the land cover data (LC) by combining existing information on
land use (LU) and other landscape characteristics (CH) available at the
national level according to the EAGLE concept.