Skip to main content
Have a personal or library account? Click to login
Assessment of an optimal parameter space for spatial cluster detection of SMEAR Estonia flux footprint data using unsupervised learning algorithms Cover

Assessment of an optimal parameter space for spatial cluster detection of SMEAR Estonia flux footprint data using unsupervised learning algorithms

Open Access
|Mar 2026

Authors

Steffen M. Noe

steffen.noe@emu.ee

Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia

Anuj Thapa Magar

Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia

Emílio Graciliano Ferreira Mercuri

Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
Department of Environmental Engineering, Federal University of Parana (UFPR), Centro Politécnico, Curitiba, Brazil
DOI: https://doi.org/10.2478/fsmu-2025-0002 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
Language: English
Page range: 20 - 27
Submitted on: May 4, 2025
Accepted on: Jan 18, 2025
Published on: Mar 23, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Steffen M. Noe, Anuj Thapa Magar, Emílio Graciliano Ferreira Mercuri, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.