How to use the dashboard

1- select a location.
2- zoom in/out in the location to view the single trees/ forest structure (zoom level should clarified)
3- use the filters on the right hand side to view preferred species/ tree height/ stem volume ranges of your choice

Disclaimer

The GEOBROKER (Stender 2023) website was utilised for the inspection and assessment of the LiDAR data coverage and access, with the objective of acquiring the ALS data from the Brandenburg federal state office for GeoData. The data were acquired in LAZ format. The total size of all point clouds was 2 TB, with a density of 17 to 28 points per square metre for the LiDAR point clouds. The CRS (Coordinate Reference System) was ETRS89 / UTM zone 33N. The LiDAR data was gathered at different times and is divided into two datasets. The more recent dataset, comprising raw data captured between 2012 and 2021, is illustrated in Figure 4(B), while the older dataset, surveyed between 2008 and 2012, is presented in Figure 4(A). In order to obtain a comprehensive coverage of the entire spatial area of Brandenburg, it was necessary to combine the two LiDAR datasets, which encompass different regions within the federal state.”

Spatial information about tree species was obtained as a raster map presenting the spatial distribution of tree main or predominant species in Germany, published by (Blickensdörfer et al. 2024. This map is presented with a resolution of 10 by 10 meters and was analysed and calculated using Sentinel-2 series images captured between March 15 and November 31 of both 2017 and 2018. The tree species included in the regional map of Brandenburg are Birch (Betula spp.), Douglas fir (Pseudotsuga menziesii), Beech (Fagus sylvatica), Oak (Quercus spp), Alder (Alnus spp.), Spruce (Picea abies), Pine (Pinus sylvestris), Larch (Larix spp.), Fir (Abies alba), as well as other deciduous tree species which are considered as sub- dominant tree species, regionally.