Milutin Milenkovic
Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
Biography
Milutin Milenković is a research scholar in the Novel Data Ecosystems for Sustainability Research Group of the IIASA Advancing Systems Analysis Program. His current research focuses on combining Earth Observation and Citizen Science for monitoring environmental change, particularly forest growth and resilience. He is also a guest lecturer at the Vienna University of Technology, Austria.Milenkovic holds a PhD (with distinction) in Photogrammetry and Remote Sensing from Vienna University of Technology, Austria, and an engineer's degree in Geodesy from the University of Belgrade, Serbia. He completed his postdoctoral research at Wageningen University, The Netherlands, working on big Earth Observation data for monitoring Amazon rainforest disturbance and recovery. His PhD research focused on mapping different physical characteristics of natural surfaces, such as surface roughness and vegetation transmittance, and 3D tree modeling using laser scanning and photogrammetry.
Last update: 05 MAR 2026
Publications
Hofhansl, F. , Bruckman, V., & Milenkovic, M. (2025). Tree-Quest: Citizen Science App to Measure Single Tree Attributes. In: ADAPT4K Kick-off Meeting, 8 April 2025, St. Pölten, Austria.
Heisig, J., Milenković, M., & Pebesma, E. (2025). High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany. Environmental Research: Ecology 4 (1) e015003. 10.1088/2752-664X/adaaf9.
See, L. , Chen, Q., Crooks, A., Laso Bayas, J.C. , Fraisl, D. , Fritz, S. , Georgieva, I. , Hager, G. , Hofer, M. , Lesiv, M. , Malek, Z. , Milenkovic, M., Moorthy, I. , Orduña-Cabrera, F. , Pérez Guzmán, K. , Shchepashchenko, D. , Shchepashchenko, M. , Steinhauser, J. , & McCallum, I. (2025). New Directions in Mapping the Earth’s Surface with Citizen Science and Generative AI. iScience e111919. 10.1016/j.isci.2025.111919.
Wild, B., Özkan, T., Pöppl, F., Milenkovic, M., Hofhansl, F. , Lamprecht, J., Pfeifer, N., & Hollaus, M. (2025). Efficient derivation of allometric models using laser scanning for improved AGB estimations. DOI:10.5194/egusphere-egu25-18889. In: EGU General Assembly 2025, 27 April-02 May 2025, Vienna.
The International Institute for Applied Systems Analysis (2025). OEMC Project Use Case: Tools and Data for Improved Biomass Estimation. GEO Knowledge Hub 10.60566/c7xsg-g6e89.