Research
Research Working Group Remote Sensing and Digital Image Analyses
Current Projects
Principal Investigators: Prof. Dr. Björn Waske
Projects staff: M.Sc. Oliver Schütte
Project partners: https://www.uni-osnabrueck.de/ecorisk/
The DFG-funded Research Training Group “Ecological Regime Shifts and Systemic Risk in Coupled Social-Ecological Systems” (ECORISK) deals with the causes of ecological regime shifts and their potential consequences in social-ecological systems in an interdisciplinary approach. See the project homepage for details (https://www.uni-osnabrueck.de/ecorisk/).
Multisensor Earth-Observation (EO) data and advances in (big-)data analysis offer new opportunities in context of environmental remote sensing. Our subproject A1 “Mapping land management archetypes by multisensor remote sensing data and machine learning” aims on mapping land management archetypes as indicators for agriculture stresses on terrestrial and aquatic ecosystems using multisensor EO-data and deep-learning methods.
Project Duration: since 10/2024
Funding: Deutsche Forschungsgemeinschaft (DFG) - GRK 3004
The research training group “Joint Lab for Artificial Intelligence and Data Science” aims on agricultural science and artificial intelligence. The cooperation between the University of Osnabrück and the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is funded by the Lower Saxony Ministry of Science and Culture (MWK) funded through the zukunft.niedersachsen program of the Volkswagen Foundation. The remote sensing group is particularly involved in two PhD projects: “Integrated AI analysis of geometric and spectral UAV data using machine learning to derive high-resolution bio-physical and bio-chemical plant properties in agroforestry systems” and “Monitoring biodiversity of agroforestry systems, using multisensor Earth-Observation data and deep learning”
Project duration: since 2023
Funding: Lower Saxony Ministry of Science and Culture (MWK) funded through the zukunft.niedersachsen program of the Volkswagen Foundation
Details & project partners: https://www.jl-ki-ds.uni-osnabrueck.de/en/home.html
Principal Investigator: Prof. Dr. Björn Waske
Projects staff: Manuel Reese
The main objective of the project is to develop innovative methods for monitoring biodiversity in agricultural ecosystems by leveraging EnMAP data, synergies with Copernicus Sentinel data, and the integration of hyperspectral drone data. Key aspects include the automated analysis of high-resolution hyperspectral drone data at field levels, the development of methods for analyzing hyperspectral data from the EnMAP mission, including scale transfer and integration of drone data and the adaptation of techniques for complementary use of EnMAP data along with multi-temporal Sentinel data for large-scale monitoring.
Project Duration: 01/2023 - 12/2025
Funding: German Aerospace Centre (DLR) - Project Management Agency (Gefördert durch die Bundesrepublik Deutschland, Zuwendungsgeber: Raumfahrt-Agentur des Deutschen Zentrums für Luft- und Raumfahrt e.V. mit Mitteln des Bundesministeriums für Wirtschaft und Klimaschutz (BMWK) aufgrund eines Beschlusses des Deutschen Bundestages unter dem Förderkennzeichen 50 EE 2302).