The aim is to develop remote sensing based method for forest growth monitoring. The work will have a practical value for the companies working in voluntary carbon credit market (e.g. SingleEarth, Arbonics) to monitor afforestation. The topic is suitable for the master students specialized in geoinformatics.
The topic requires programming skills and knowledge in remote sensing (LTOM.02.041 Geospatial Analysis with Python and R, LTTO.00.027 Data Science in Remote Sensing). Co-supervisor Kadri Runnel from the Botany Department
