title: Floristic vs. Dominant Classification Approach Applied to Geospatial Modelling of Mixed and Broadleaf Forest Types in the North-Western Caucasus (Russia)
abstract: Geospatial modeling based on a combination of remote sensing data and machine learning methods currently is a common way for thematic mapping of forest ecosystems. However, the reliability of such mapping strongly depends on the initial classification of the reference data used for model training. In modern vegetation science, there are different classification approaches that coexist, but most of them were originally developed regardless of digital mapping practices, and were rarely analyzed on
journal: Preprints.org