Antero Kukko

Antero Kukko is an Adjunct Professor at Aalto University's Department of Built Environment, specializing in geospatial technologies and remote sensing. His research focuses on laser scanning applications in forestry, environmental monitoring, and autonomous systems. Kukko holds a Licentiate degree (2009) and Master's degree (2002) in Engineering and Technology from Helsinki University of Technology (now part of Aalto University).

His work contributes to UN SDG 15 (Life on Land) through innovations in forest inventory and climate change impact studies. Recent research includes UWB positioning under forest canopies, real-time ALS/MLS integration, and benchmarking laser scanning techniques in boreal forests. Kukko has authored over 200 publications since 2001, with notable outputs in 2023-2025 addressing Arctic landscape changes and autonomous vehicle data applications.

He collaborates globally through projects in Finland, Nordic regions, and international networks. Media highlights include studies on Arctic river dynamics and forest canopy penetration technologies. Kukko's datasets, such as the Havis Amanda mesh model, are publicly accessible via Zenodo.