Markus Münzinger receives the SaxFDM FAIRest Data Award

Markus Münzinger, research associate at the Leibniz Institute of Ecological Urban and Regional Development (IOER), has received the SaxFDM FAIRest Data Award for the Canopy Height Model Dresden 2017 data set. With this award, the initiative "SaxFDM – Forschungsdatenmanagement in Sachsen" (Research Data Management in Saxony) honours data sets that best fulfil the so-called FAIR principles. The award ceremony took place on 19 October during the SaxFDM conference in Chemnitz.

In the new competition in the field of research data management, Markus Münzinger took first place. In the opinion of the SaxFDM FAIRest Data Award jury, the data set he submitted best fulfils the FAIR principles. FAIR stands for data that is findable, accessible, interoperable and reusable.

Markus Münzinger created the Canopy Height Model Dresden 2017 data set as part of a research project. The question was how the volume of urban greenery, especially urban trees, can be automatically mapped through the combined processing of different data. The data set developed is a comprehensive height model of all tree crowns in the city of Dresden. The data is freely accessible via the Zenodo science platform (OpenAccess). The code for generating the models is also available to all interested on Github.

"The urban tree population, both in private and public spaces, is indispensable from an urban ecology and social perspective. They provide a wide range of ecosystem services. Canopy height models, or CHM for short, represent the height of tree crowns above the ground and are a valuable tool for researching and managing urban vegetation," explains Markus Münzinger. "The Canopy Height Model Dresden 2017 data set can be used, among other things, to determine the green volume of Dresden's tree population. This characteristic value is an important parameter for making statements about the climate-regulating services of urban greenery. For instance, the influence of urban greenery on air humidity or temperature," says Münzinger.

The data set is also suitable for monitoring urban tree population, as its high resolution with a grid size of half a metre means that even small-scale changes in urban greenery can be tracked. It can also be transferred to other German and even selected European cities and regions. Markus Münzinger has already calculated comparable data sets for some German cities. These will soon be published in the new IOER Research Data Centre (IOER RDC). Like the award-winning data set for Dresden, they will be accessible to everyone in OpenAccess.

On 19 October, Markus Münzinger received the SaxFDM FAIRest Data Award at the SaxFDM Conference in Chemnitz and presented the award-winning data set in more detail to the conference participants. The first place of the award is honoured with a prize money of 500 euros.

About the person
Markus Münzinger has been working at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since October 2018. He is a research associate in the research area of Spatial Information and Modelling and at the IOER Research Data Centre (IOER RDC). Currently he is writing his doctoral thesis on "Integrating spatially explicit urban tree models in environmental analysis". His most recent research included the Standard-BIPV project. With a 3D tree model that he has generated from the award-winning data set, he contributed to the small-scale analysis of the solar potential of roofs and building facades by taking into account the shadows of the trees. The analyses carried out in the project thus provide more realistic results.

SaxFDM FAIRest-Data Award
SaxFDM is an initiative of Saxon universities and research institutions for networking, cooperation and coordination of activities relating to research data management. Anyone working at a Saxon research or cultural institution can apply for the SaxFDM FAIRest Data Award. The submitted data sets need to have already been published, but must not be older than five years. A jury from committees of the SaxFDM state initiative will evaluate the submitted data sets based on the FAIR principles (findable, accessible, interoperable, reusable).

Münzinger, Markus; Prechtel, Nikolas; Behnisch, Martin: Mapping the urban forest in detail: From LiDAR point clouds to 3D tree models. In: Urban Forestry & Urban Greening 74 (2022): 127637.

Münzinger, Markus. (2023). Canopy Height Model Dresden 2017 (v 1.0) [Data set]. Zenodo.

The Leibniz Institute of Ecological Urban and Regional Development is jointly funded by the federal government and the federal states.

FS Sachsen

This measure is co-financed by tax funds on the basis of the budget approved by the Saxon State Parliament.