4EU+ European University Alliance


Bernhard Höfle
Institute of Geography, Heidelberg University, Germany


Project partners
Charles University Prague, Czech Republic
Markéta Potůčková (PI)
Jana Albrechtová
Lucie Kupková

Heidelberg University, Germany
Bernhard Höfle
Katharina Anders

University of Innsbruck, Austria
Martin Rutzinger
Magnus Bremer

University of Warsaw, Poland
Adrian Ochtyra
Adriana Marcinkowska-Ochtyra
Krzysztof Gryguc


Towards sustainable development of natural environments based on continuous remote sensing monitoring


Research news can be found in our GIScience News Blog. Follow our updates on Twitter: #ContinuousRemoteSensing #3DGeo


Continuous remote sensing monitoring of natural environments is important for increasing our understanding of landscape dynamics in the context of human-environment interactions, and for providing information needed for their conservation or management. The analysis of physical processes, for example in sensitive mountainous and forest ecosystems, benefits from multidisciplinary research using time series of remote sensing data of different spatial and temporal scales, and the combination of multi-modal data sources, such as LiDAR point clouds, optical imagery, and thermal data.
These datasets enable to investigate a variety of processes underlying natural landscape dynamics, such as those related to damages and recovery of forests, changes of vegetation in high-mountain regions, or geomorphic activity of alpine rock glaciers.


Geomorphic activity of an alpine rock glacier is captured with repeated UAV-borne surveys.


The objective of the project is to acquire multi-modal remote sensing data adding to our existing time series at different study sites. Time series of remote sensing data will be used to develop innovative methods for monitoring and analyses of processes connected to changes of valuable mountainous environments (tundra, glaciers) and forest ecosystems in protected areas. UAV/aerial LiDAR point clouds, optical and thermal data will be combined with satellite and in-situ observations. The data will provide the basis for method development, including machine/deep learning algorithms, that will be applied in research fields of geography, plant biology and environmental sciences.

Establishing this joint comprehensive dataset will strengthen research collaboration among the project partners and supports research-based education by exchange visits of PhD and master students and by integrating new methods and software tools in research-oriented e-learning (project E-TRAINEE), developed by the project partners.


This collaboration project is funded in the framework of the 4EU+ programme of the European Union with Markéta Potůčková (Department of Applied Geoinformatics and Cartography, Charles University Prague) as PI of the project and Heidelberg University, University of Innsbruck and University of Warsaw as project partners. It follows the alliance built up through the E-TRAINEE strategic partnership project in the framework of the Erasmus+ programme of the European Union and the 4EU+ collaboration project 3D Landcover Monitoring.

The 3DGeo research group additionally supports this project through the acquisition of terrestrial laser scanning data at the continued monitoring site of an alpine rock glacier (project AHK-4D) for evaluation of the new UAV-borne acquisitions in this project.

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