Rate My Professor Markus Holopainen

Markus Holopainen is Professor of Geoinformatics in the Department of Forest Sciences at the University of Helsinki, a position he has held since 2012. He also serves as Head of the Bachelor's Programme in Forest Sciences and supervises doctoral students in the Doctoral Programme in Interdisciplinary Environmental Sciences and the Doctoral Programme in Sustainable Use of Renewable Natural Resources. Holopainen earned his MSc in Forest Sciences from the University of Helsinki in 1993, an MSc in Technology from Aalto University in 1995, a PhD (DSc Agric. & For.) in Forest Sciences from the University of Helsinki in 1998, and a Dr. Tech. from Aalto University in 2011. Having spent most of his career at the University of Helsinki, he has significantly contributed to the development of teaching and curriculum in forest sciences.

His research specializes in the application of 3D and 4D data for forest mapping, inventory, management, monitoring, and precision forestry. As head of the Laboratory of Forest Resources Management and Geo-Information Science, Holopainen leads efforts within the Centre of Excellence in Laser Scanning Research (CoE-LaSR) since 2014, where his group at the University of Helsinki handles forestry applications. Key research areas include 3D precision forestry, development of new 3D forest data models, improved mapping and monitoring for forest health, above-ground biomass, and biodiversity assessment, as well as 3D GIS and remote sensing in urban forestry. Holopainen has authored or co-authored over 240 publications, more than 150 of which appear in peer-reviewed journals or books, amassing over 14,000 citations. Prominent works include 'Estimating tree mortality timing using PlanetScope satellite image time series' (2026, ISPRS Journal of Photogrammetry and Remote Sensing), 'From between-stand to within-tree variation: wood and timber quality of Norway spruce (Picea abies H. Karst) analyzed at scale using laser scanning and industrial data' (2026, Annals of Forest Science), 'Identification and segmentation of branch whorls and sawlogs in standing timber using terrestrial laser scanning and deep learning' (2025, Forestry), and 'Tree trunk disease mapping using hyperspectral LiDAR' (2025, Computers and Electronics in Agriculture). In September 2024, he received the University of Helsinki award for outstanding doctoral supervision, recognizing his impact on academic mentorship.