A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data

• Published in: Water
• Main Authors: Yves Auda, Erik J. Lundin, Jonas Gustafsson, Oleg S. Pokrovsky, Simon Cazaurang, Laurent Orgogozo
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2023
• Subjects: land cover; Sentinel-2 images; support vector machine; random forests; boreal forest; alpine tundra; Hydraulic engineering; TC1-978; Water supply for domestic and industrial purposes; TD201-500; Abisko; Arctic; Climate change; permafrost; Tundra
• Online Access: https://doi.org/10.3390/w15183311; https://doaj.org/article/010254c136bc4b4a97bde3690f456fb2

A land cover map of two arctic catchments near the Abisko Scientific Research Station was obtained based on a classification from a Sentinel-2 satellite image and a ground survey performed in July 2022. The two contiguous catchments, Miellajokka and Stordalen, are covered by various ecotypes, from boreal forest to alpine tundra and peatland. Two classification algorithms, support vector machine and random forest, were tested and gave very similar results. The percentage of correctly classified pixels was over 88% in both cases. The developed workflow relies solely on open-source software and acquired ground observations. Space organization was directed by the altitude as demonstrated by the intersection of the land cover with the topography. Comparison between this new land cover map and previous ones based on data acquired between 2008 and 2011 shows some trends in vegetation cover evolution in response to climate change in the considered area. This land cover map is key input data for permafrost modeling and, hence, for the quantification of climate change impacts in the studied area.