Scholar
Markus Immitzer
Google Scholar ID: VwtoQ70AAAAJ
BOKU University / dClimate Labs
Citations & Impact
Citations
3,613
H-index
25
i10-index
41
Publications
20
Co-authors
37
list available
Publications
Resume (English only)
Academic Achievements
- - 2024: BOKU Best Paper Award (Anniversary Fund of the City of Vienna)
- - 2020: BOKU Sustainability Award Nomination (Education for Sustainable Development Category)
- - 2019: Promotion Prize of the '120 Years University of Natural Resources and Life Sciences' Foundation [Dissertation]
- - 2018: Green Young Talent Award of the Styrian Forestry Association; Klaus Fischer Innovation Prize for Technology and Environment [Dissertation]
- - 2017: Hanskarl Goettling Promotion Prize for Research in the Field of Forestry Remote Sensing
- - 2014: Promotion Prize of the '120 Years University of Natural Resources and Life Sciences' Foundation
Research Experience
- - 2023: Visiting Scientist (Swiss Federal Research Institute WSL)
- - 2022: Data Scientist, focusing on the use of remote sensing data for establishing and verifying nature-based solution projects, improved monitoring of carbon projects (Geotree Ltd. / Mantle Labs Ltd.)
- - Since 2017: Senior Scientist, working on land cover classification and biophysical parameter modeling, teaching remote sensing, geodata management, and photogrammetry (University of Natural Resources and Life Sciences, Vienna)
- - 2013-2014: Visiting Scientist at the German Remote Sensing Data Center, Land Surface Department (DLR)
- - 2011-2017: Research Assistant, involved in surveying, remote sensing, and land information work (University of Natural Resources and Life Sciences, Vienna)
Education
- - 2017: Ph.D., Title: Mapping Tree Species, Forest Calamities, and Growing Stock Using High-Resolution Satellite Imagery – Possibilities and Limits, Supervisor not specified (University of Natural Resources and Life Sciences, Vienna)
- - 2013: M.Sc., Wildlife Ecology and Management (University of Natural Resources and Life Sciences, Vienna)
- - 2013: Dipl.-Ing., Forestry (University of Natural Resources and Life Sciences, Vienna)
Background
- Research interests include machine learning, forestry, wildlife management, photogrammetry, and remote sensing. Focuses on land cover classification using medium to very high-resolution remote sensing data, particularly vegetation and biophysical parameter modeling.
