PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Random Forest Classification of Sentinel-2 Data
Version 1
: Received: 11 July 2023 / Approved: 12 July 2023 / Online: 12 July 2023 (13:39:19 CEST)
How to cite:
Auda, Y.; Lundin, E. J.; Gustafsson, J.; Pokrovsky, O. S.; Cazaurang, S.; Orgogozo, L. A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Random Forest Classification of Sentinel-2 Data. Preprints2023, 2023070841. https://doi.org/10.20944/preprints202307.0841.v1
Auda, Y.; Lundin, E. J.; Gustafsson, J.; Pokrovsky, O. S.; Cazaurang, S.; Orgogozo, L. A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Random Forest Classification of Sentinel-2 Data. Preprints 2023, 2023070841. https://doi.org/10.20944/preprints202307.0841.v1
Auda, Y.; Lundin, E. J.; Gustafsson, J.; Pokrovsky, O. S.; Cazaurang, S.; Orgogozo, L. A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Random Forest Classification of Sentinel-2 Data. Preprints2023, 2023070841. https://doi.org/10.20944/preprints202307.0841.v1
APA Style
Auda, Y., Lundin, E. J., Gustafsson, J., Pokrovsky, O. S., Cazaurang, S., & Orgogozo, L. (2023). A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Random Forest Classification of Sentinel-2 Data. Preprints. https://doi.org/10.20944/preprints202307.0841.v1
Chicago/Turabian Style
Auda, Y., Simon Cazaurang and Laurent Orgogozo. 2023 "A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Random Forest Classification of Sentinel-2 Data" Preprints. https://doi.org/10.20944/preprints202307.0841.v1
Abstract
A land cover map of two arctic catchments, nearby the Abisko Scientific Research Station, was obtained from a classification of 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. The random forests algorithm correctly identified 88% of polygon pixels reserved for testing. The developed workflow relied 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 of vegetation cover evolution in response to climate change in the considered area.
Keywords
land cover; sentinel-2 images; random forest; boreal forest; alpine tundra
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.