Comparing multispectral and hyperspectral data for savannah tree species classification using machine learning
This thesis explores the classification of savannah trees using EnMAP hyperspectral and Sentinel-2 multispectral satellite data using a Random Forest classifier. The study aimed to assess if the increase in spectral information from the hyperspectral data gives an increase in classification performance, to find the advantages and limitations to hyperspectral data compared to multispectral data and