We invite you to read the article published in Forestry: An International Journal of Forest Research, in which ForBioSensing project researchers—Maciej Lisiewicz, Agnieszka Kamińska, Bartłomiej Kraszewski, Łukasz Kuberski, Kamil Pilch, and Krzysztof Stereńczak—present groundbreaking research results on tree species mapping in the Białowieża Forest! 

By utilizing airborne laser scanning (ALS) and aerial imagery (CIR), the team has created the first digital species map of the Białowieża Forest based on individual tree classification! 

Key findings from the publication:
✅ 11 living tree species were identified (including spruce, pine, oak, birch, maple, and linden) along with four categories of dead trees.
✅ Nearly 20 million trees were analyzed using the Random Forests algorithm, achieving a classification accuracy of 82%!
✅ Data from two seasons—vegetative and leaf-off—were used, improving species identification precision.
✅ The generated map serves as a valuable tool for ecological research, such as climate change monitoring, tree population dynamics, and pest outbreak risk analysis.

Full publication:
DOI: https://doi.org/10.1093/forestry/cpaf007