Pia Labenski
- PhD student
- Group: Vegetation
- Room: CS 10.50 R. 818
- Phone: +49 721 608-47851
- pia labenski ∂does-not-exist.kit edu
Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie
Kaiserstr. 12
76131 Karlsruhe
Germany
Topics
- Multispectral and LiDAR remote sensing
- Machine and deep learning algorithms
- Fuel and fire modeling for Central European forests
Ewald, M.; Labenski, P.; Westphal, E.; Metzsch-Zilligen, E.; Großhauser, M.; Fassnacht, F. E. (2023). Leaf litter combustion properties of Central European tree species. (M. Conedera, Ed.) Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpad026
Labenski, P.; Ewald, M.; Schmidtlein, S.; Fassnacht, F. E. (2022). Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning. International journal of applied earth observation and geoinformation, 109, Article no: 102799. doi:10.1016/j.jag.2022.102799