There are 6 Work Packages in the project:
The main objective of work package 1 is to prepare adequate ground truth data set for the realization of subsequent work packages aimed at the analysis of grass growth conditions and yield modeling. The reference data will comprise two types of information – in-situ measured soil-vegetation parameters and meteorological data.
The main objective of work package 2 is to prepare classification maps of grasslands for the selected test areas, with the general division into high-productive grasslands and low-yielding unimproved grasslands. The classification approach will be based on applying time series of high-resolution Sentinel-2 satellite data to discriminate grassland types. The classification maps will be necessary for further works related to grass yield modeling and for the appropriate establishment of ground measurement networks.
The main objective of work package 3 is to identify available methods and develop new algorithms to estimate grass growth and other biophysical parameters from high-resolution satellite data for
two different environments, Poland and northern Norway. The main objective can be broken down into the following goals:
- Determine relationships between vegetation indices derived from high-resolution satellite data and in situ measurements, obtained in WP1, that characterize grass growth and quality.
- Analyse (existing) in situ hyperspectral data in relation to ground truth data to develop new models to predict yield.
- Develop a model based on time series of vegetation indices to predict yield in areas with extensive cloud cover.
- Create maps of vegetation parameters over the study regions during the growing seasons.
- Compare the methods and relationships between the 2 study regions to identify similarities and differences between different climates, grass species compositions, and growing conditions.
The main objective of WP 4 is to develop methods for determining stressful conditions of grasslands over the growing seasons caused by drought conditions, severe winterkill conditions or affected by lack of proper nutrition. The satellite data and in-situ measurements will be applied.
Calibrate a process-based grassland model (BASGRA) under drought-stressed conditions in Poland using different combinations of grassland characteristics data (LAI, stand density biomass yield) that
are derived from satellite-sensed data, and from ground registrations
- Calibrate a process-based grassland model (BASGRA) under winter (stressed) conditions in Northern using different combinations of grassland characteristics data (stand density before and after the winter season) that are derived from satellite-sensed data, and from ground registrations
- Test the calibrated model against independent data under drought-stressed conditions in Poland
- Test the calibrated model against independent data under winter-stressed conditions in Norway
- Simulate winter survival and growing season using real-time updates with satellite-sensed data