21. February 2024.

The "Wald5Dplus" project at the Munich University of Applied Sciences sets new standards in the analysis of Central European forests using satellite data time series! We use innovative fusion techniques by combining data from Sentinel1 and Sentinel2 spectrally, polarimetrically and temporally on hypercomplex bases. Our soon-to-be-available public dataset provides 512 channels per year over two years on a 10 m UTM grid, providing unprecedented insights into the structure of our forests.

With the support of airborne laser scanning and multispectral imagery, we define precise parameters for each tree, providing a solid foundation for further analysis. Using machine learning techniques such as random forest regression, our dataset can predict tree species, forest structure and other important ecological characteristics - an invaluable resource for environmental research and management.

For researchers, conservationists and anyone interested in the future of our forest landscapes, this is a step towards conservation and sustainable management.

Read the full paper here: https://www.mdpi.com/2072-4292/16/3/488 and get inspired for your next discovery!