Swedish national scale crop type classification and grassland use intensification analyses using satellite remote sensing - storage

NAISS 2023/6-289


NAISS Medium Storage

Principal Investigator:

David Parsons


Sveriges lantbruksuniversitet

Start Date:


End Date:


Primary Classification:

40101: Agricultural Science



Harvested grasslands (leys) play an important role in Swedish agricultural systems as they serve as the main feeding source for ruminants, which produce milk and meat. Identifying the agricultural land use intensity of fields can help to identify locations for sustainable intensification. In-season harvestings and yield are good indicators of use intensity. In this project, satellite remote sensing (RS) data will be used to explore use intensity of ley fields. First, a RS data based crop type classification model across Sweden will be built to identify harvested leys. Second, the number of in-season harvests and forage yield will be estimated using RS data. Lastly, Geographic Information Systems (GIS) tools will be used to identify the primary drivers of the differences in land use intensities observed in ley fields. The results will promote the potential of using earth observation data to identify and increase agricultural intensity and potentially produce more food, hence improving Swedish food self-sufficiency. This application is related to a current ongoing research project “Vallsat: Satellite-based digital tools for ley management” funded by Swedish Farmers’ Foundation for Agricultural Research (Stiftelsen Lantbruksforskning; SLF, In this research project, we are developing a decision support system for forage nitrogen status assessment and harvest time determination based on satellite data processing at field level.