Meeting of the DBU-project “The ecosystem services of the urban forest”.

Meeting of the DBU-project “The ecosystem services of the urban forest”.

July 11, 2024

Meeting of the DBU-project “The ecosystem services of the urban forest”.

 

The project partners of the project “The ecosystem services of the ‘urban forest’” funded by the Deutsche Bundesstiftung Umwelt (DBU) met at the Chair for Forest Growth and Yield Science

of the School of Life Sciences at TU München in Freising on the 10th of July 2024. The colleagues from the Technical University of Munich (Prof. Dr. Thomas Rötzer; Prof. Dr. Stephan Pauleit), from the Company for Remote Sensing and Environmental Research (SLU) (Dr. Klaus Martin) in Munich and from our EO Research Hub as well as the Earth Observation Center of the German Aerospace Center (Andrea Sofia Garcia de Leon, Dr. Tobias Leichtle & Prof. Dr. Hannes Taubenböck), presented the status quo of the work, discussed and planned the interdisciplinary collaboration.

 

The focus of the research work is on urban trees. They provide multiple ecosystem services (ESS) reducing the impacts of climate change in cities, for example through cooling, shading, carbon storage and biodiversity conservation. However, detailed information on these services provided by urban trees as a function of their structure and growth is often lacking. Area-wide information on the performance and growth of urban trees at a high granular level of individual trees would contribute to develop climate adaptation strategies for cities. Based on single tree measurements, the process-based model CityTree is extended for common Central European tree species to provide detailed information on growth and ESS of the most common species. Using high resolution aerial and satellite image data as well as elevation information, additional site parameters such as soil sealing, building density or shading effects are parameterized. Based on this, an automatic tree recognition is implemented using machine learning methods, which makes a detailed recording and analysis of individual trees in the urban environment as well as a determination of the ESSL of urban trees practicable for end users such as municipalities and planners.

 

The work has recently been presented at various conference – he had reported on this:

https://remote-sensing.org/eorc-at-the-iufro-world-congress-2024/

https://remote-sensing.org/exhibition-at-the-week-of-the-environment/

https://remote-sensing.org/presentation-at-the-biomet-conference/

 

 

 

 

follow us and share it on:

you may also like:

EOCap4Africa Training in Kinshasa

EOCap4Africa Training in Kinshasa

This week, 14 students are attending a test run of our Remote Sensing module on Remote Sensing for Biodiversity Conservation at the University of Kinshasa. This module is part of the EOCap4Africa project (funded by the Federal Agency for Nature Conservation, lead Dr....

KI4Stereo – Hybrid kick-off meeting at DLR

KI4Stereo – Hybrid kick-off meeting at DLR

KI4Stereo – Hybrid kick-off meeting at DLR: AI-based analysis of stereo image data for tree monitoringOn January 23rd, 2026, a hybrid kick-off meeting was held at DLR to officially launch the research project KI4Stereo (funded under the KMU-innovativ programme,...

EORC researchers teaching drone remote sensing at UNIS, Svalbard

EORC researchers teaching drone remote sensing at UNIS, Svalbard

During their current visit to Svalbard, EORC researchers have been teaching UNIS students from all over Europe on how drones can be used for remote sensing in the high Arctic. Invited by our UNIS collaborators Prof. Dr. Simone Lang (UNIS) and Prof. Dr. Eero Rinne...

New Funded Project on Automated Detection of Mining Areas

New Funded Project on Automated Detection of Mining Areas

In a newly launched research project funded by the KSB Foundation, we focus on the automated identification of mining areas based on remote sensing data. The aim is to systematically detect large-scale mining activities and to track their spatial and temporal...

Share This