University of Würzburg is a member of initiative “Data Pool of Bavarian Forest”

University of Würzburg is a member of initiative “Data Pool of Bavarian Forest”

April 27, 2015

The Dept. of remote sensing of the University of Würzburg will contribute to the recently-initiated platform of “Data Pool of Bavarian Forest”.

The Bavarian Forest National Park (BFNP) is the first national park in Germany and one of the unique natural landscapes in central Europe. Natural events such as windthrow, insect and fungal attack together with the forest ecosystem natural dynamics continuously change the shape of the forest. These dynamics can be monitored over various temporal durations using field and remotely sensed data. In a recently-started initiative of the Earth Observation Center of German Aerospace Center (EOC-DLR) and the BFNP administration now coordinate the systematic exchange of data and  methods in a formal cooperation, in which a number of other European research institutions including Univesity of Würzburg also contribute.

An example of 2012 HySpex mosaic aqcuired by DLR at the northern part of BFNP

An example of 2012 HySpex mosaic aqcuired by DLR at the northern part of BFNP

Within this formal agreement, the Šumava  National Park (Czech Republic), BFNP, EOC-DLR, University of Würzburg, University of Twente (ITC Netherlands), Munich University of Applied Sciences and Technical University of Munich (TUM) have agreed to strengthen their collaboration in exchanging remote sensing data and methods for research purposes within the BFNP.  In April 2015, the corresponding cooperation agreement was signed by all the partners. The EOC-DLR will contribute with hyperspectral data from HySpex sensor, TerraSAR-X RADAR data and Spot 5 multispectral data. The BFNP will provide an edvanced access to its comprehensive archive of aerial imagery, GIS layers and field-based data for research purposes within the data pool.

The cooperation offers the opportunity to combine different methodological approaches supported by data in order to optimize remote sensing-based forestry products. The work should also create the basis for further joint research projects. The cooperation runs until the end of the 2016. The pool will be administrated by EOC-DLR ( Dr. Uta Heiden and Stefanie Holzwarth). The contact point in Würzburg will be:

Dr. Hooman Latifi

Email: hooman.latifi@uni-wuerzburg.de

 

further information to the platform can be found in the original announcement published by EOC-DLR.

 

 

 

follow us and share it on:

you may also like:

An Evening with Professor Jarugu Narasimha Moorthy

An Evening with Professor Jarugu Narasimha Moorthy

It was a pleasure to have dinner with Professor Jarugu Narasimha Moorthy, who received an honorary doctorate from the Faculty of Chemistry and Pharmacy in recognition of his achievements. The ceremony took place on 29 September 2026 in the Chemistry Central Building....

Ecology or Sampling Bias? A Roadside Perspective on Invasion Risk

Ecology or Sampling Bias? A Roadside Perspective on Invasion Risk

At the 2026 annual meeting of the AK Fernerkundung (German Working Group on Remote Sensing), which was hosted by the Thünen Institute in Braunschweig, our EORC team member Dr. Insa Otte presented research results on sampling bias in species distribution models in...

Space Days in Würzburg: EORC on site

Space Days in Würzburg: EORC on site

This Saturday turned out busier than we expected. At the Space Days at the University of Würzburg, Sarah Schoenbrodt-Stitt and Mirjana Bevanda represented EORC with a small booth, and the visitors were quite numerous. Students and colleagues stopped by, as expected....

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This