Nordia Geographical Publications (NGP) is an open access non-profit journal published by the Geographical Society of Northern Finland and the Geography Research Unit at the University of Oulu. NGP publishes yearly theme issues and the doctoral theses of the research unit. 

The scope of the journal covers empirical and theoretical interventions from any branch of geography. NGP particularly welcomes research that is committed to northern dimensions of human, physical and applied geography.

Open access NGP publications are published under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC-BY-NC-ND 4.0) license which ensures that authors retain full copyright to their work. The journal follows the peer review standards set by the Federation of Finnish Learned Societies (TSV) and it is indexed in the Directory of Open Access Journals (DOAJ) and Scopus.

Announcements

Call for Papers - Resilience in the era of the Anthropocene

2026-03-25

The Geographical Society of Northern Finland and the Geography Research Unit at the University of Oulu are pleased to announce a call for papers for Nordia Geographical Publications' Theme Issue on "Resilience in the era of the Anthropocene".

The theme issue brings together research and discussions about resilience in the era of Anthropocene, from individuals to global systems, and across disciplinary boundaries.

Deadline for title and abstract submission is April 30, 2026. Manuscript submission deadline is October 30, 2026.

Read more about Call for Papers - Resilience in the era of the Anthropocene

Current Issue

Vol. 55 No. 6 (2026): Integrating multi-source geospatial data to monitor peatland red-listed plant species, greenhouse gas dynamics, and the water table
View Vol. 55 No. 6 (2026): Integrating multi-source geospatial data to monitor peatland red-listed plant species, greenhouse gas dynamics, and the water table

Peatlands provide vital ecosystem services, yet over half of Finland's peatlands have been drained for forestry, agriculture, and peat extraction, leading to biodiversity loss and increased greenhouse gas emissions. This dissertation explores the use of geospatial environmental and remote sensing data, combined with statistical modelling, as a scalable approach to peatland monitoring. The research demonstrates that integrating environmental and remote sensing data can predict the distribution of red-listed peatland plant species, detect greenhouse gas sink and source patterns, and model water table dynamics across different spatial scales. These findings support more efficient peatland conservation, restoration planning, and long-term peatland monitoring in Finland. 

Published: 2026-08-02

Doctoral thesis

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