Tree species from space – the ESPE project workshop 2022

Tree species from space – the ESPE project workshop 2022

February 19, 2023

No, we are not talking about spruce experiments on ISS, but we map them from space, using Sentinel-2 satellite imagery from the European Space Agency. The main task of the ESPE project is to classify tree species like birches to improve the pollen forecasts to help people suffering from pollen emissions, caused by allergic reactions. Our final product can be used as an input variable in weather models. These models are describing the movement of wind packages. We provide information where these packages collect pollen causing allergies.

In December 2022 we invited members of the Bavarian State Ministry of Health and Care, and Environmental and Consumer Protection, the German Aerospace Center, the Center of Allergy and Environment, the Bavarian State Institute of Forestry, the Bayerische Staatsforsten and members of the University of Würzburg to workshop to discuss preliminary results of ESPE. For the first time, we presented our tree species product for the free state of Bavaria. We realized this map, by using modern cloud-based methods in a so called Datacube. These organizing structures are efficient databases, carrying multispectral satellite data and tools for analyzing and information extraction, e.g. by applying state of the art machine leaning techniques. We showed that our Bavarian Data Cube has the potential do this job in a very promising way. An essential part of the work is finding sufficient input variables to train models for classification tasks. We use balancing methods on ground truth data to train a machine learning classifier. Our prototype map is based on a single month of satellite data, already describing plausible distribution of tree species which are in line with data collected from the German forest inventories represented. 

We would like to thank all participants of the December workshop and continue working to improve our classification by integrating more time steps to integrate tree species specific seasonal spectral appearance.

For further information please contact our colleague and developer of the map Sebastian Förtsch.

you may also like:

Our research site and project covered by BR

Our research site and project covered by BR

The University forest at Sailershausen is a unique forest owned by the University of Wuerzburg. It comes with a high diversity of trees and most important is part of various research projects. We conducted various UAS/UAV/drone flights with Lidar, multispectral and...

Meeting of the FluBig Project Team

Meeting of the FluBig Project Team

During the last two days, the team of the FluBig project (remote-sensing.org/new-dfg-project-on-fluvial-research/) met at the EORC for discussing the ongoing work on fluvial biogeomorphology. After returning from a successful field expedition to Kyrgyzstan a couple of...

‘Super Test Site Würzburg’ project meeting

‘Super Test Site Würzburg’ project meeting

After the successful "Super Test Site Würzburg" measurement campaign in June (please see here: https://remote-sensing.org/super-test-site-wurzburg-from-the-idea-to-realization/ ), the core team from the University of Würzburg, the Karlsruhe Institute of Technology,...

EORC Talk: Geolingual Studies: A New Research Direction

EORC Talk: Geolingual Studies: A New Research Direction

On July 19th, Lisa Lehnen and Richard Lemoine Rodríguez, two postdoctoral researchers of the Geolingual Studies project, gave an inspiring presentation at the EORC talk series.   In the talk titled "Geolingual Studies – a new research direction", they...

EO support for UrbanPArt field work

EO support for UrbanPArt field work

From May to September, Karla Wenner, a PhD student at the Juniorprofessorship for Applied Biodiversity Science, will be sampling urban green spaces and semi-natural grasslands in Würzburg as part of the UrbanPArt project. Our cargo bikes support the research project...

Cinematic drone shots

Cinematic drone shots

We spend quite some time in the field conducting field work, from lidar measurements to vegetation samples in order to correlate it with remote sensing data to answer various research questions concerning global change. Field work is always a 24/7 work load and...