Table of Contents
Remote Sens., Volume 11, Issue 10 (May-2 2019)
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Cover Story (view full-size image) With the launch of the Sentinel-2 mission, new opportunities have arisen for mapping tree species, [...] Read more. With the launch of the Sentinel-2 mission, new opportunities have arisen for mapping tree species, owing to its spatial, spectral, and temporal resolution. We evaluated the utility of the Sentinel-2 time series for mapping tree species in the complex, mixed forests of the Polish Carpathian Mountains. We used 18 Sentinel-2 images from 2018. Different combinations of Sentinel-2 imagery were selected based on the mean decrease in accuracy and mean decrease in Gini measures, in addition to temporal phonological pattern analysis. Tree species discrimination was performed using the random forest classification algorithm. Our results show that the use of the Sentinel-2 time series instead of single date imagery significantly improved forest tree species mapping, by approximately 5–10% of overall accuracy. In particular, combining images from spring and autumn resulted in better species discrimination. View this paper.