A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data
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 b...
Published in: | Water |
---|---|
Main Authors: | , , , , , |
Other Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2023
|
Subjects: | |
Online Access: | https://hal.science/hal-04290497 https://hal.science/hal-04290497/document https://hal.science/hal-04290497/file/Auda_et_al_2023.pdf https://doi.org/10.3390/w15183311 |
id |
ftccsdartic:oai:HAL:hal-04290497v1 |
---|---|
record_format |
openpolar |
spelling |
ftccsdartic:oai:HAL:hal-04290497v1 2023-12-24T10:07:25+01:00 A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data Auda, Yves Lundin, Erik, J Gustafsson, Jonas Pokrovsky, Oleg, S Cazaurang, Simon Orgogozo, Laurent Géosciences Environnement Toulouse (GET) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Swedish Polar Research Secretariat Partenaires INRAE Institut de mécanique des fluides de Toulouse (IMFT) Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) Université de Toulouse (UT) ANR-19-CE46-0003,HiPerBorea,Calul haute performance pour la quantification des impacts du changement climatique sur les régions boréales(2019) 2023-09-19 https://hal.science/hal-04290497 https://hal.science/hal-04290497/document https://hal.science/hal-04290497/file/Auda_et_al_2023.pdf https://doi.org/10.3390/w15183311 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/w15183311 hal-04290497 https://hal.science/hal-04290497 https://hal.science/hal-04290497/document https://hal.science/hal-04290497/file/Auda_et_al_2023.pdf doi:10.3390/w15183311 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2073-4441 Water https://hal.science/hal-04290497 Water, 2023, 15 (18), pp.3311. ⟨10.3390/w15183311⟩ permafrost land cover Sentinel-2 images support vector machine random forests boreal forest alpine tundra [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2023 ftccsdartic https://doi.org/10.3390/w15183311 2023-11-25T23:40:00Z 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. Article in Journal/Newspaper Abisko Arctic Climate change permafrost Tundra Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Abisko ENVELOPE(18.829,18.829,68.349,68.349) Stordalen ENVELOPE(7.337,7.337,62.510,62.510) Water 15 18 3311 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
permafrost land cover Sentinel-2 images support vector machine random forests boreal forest alpine tundra [SDE]Environmental Sciences |
spellingShingle |
permafrost land cover Sentinel-2 images support vector machine random forests boreal forest alpine tundra [SDE]Environmental Sciences Auda, Yves Lundin, Erik, J Gustafsson, Jonas Pokrovsky, Oleg, S Cazaurang, Simon Orgogozo, Laurent A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data |
topic_facet |
permafrost land cover Sentinel-2 images support vector machine random forests boreal forest alpine tundra [SDE]Environmental Sciences |
description |
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. |
author2 |
Géosciences Environnement Toulouse (GET) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Swedish Polar Research Secretariat Partenaires INRAE Institut de mécanique des fluides de Toulouse (IMFT) Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) Université de Toulouse (UT) ANR-19-CE46-0003,HiPerBorea,Calul haute performance pour la quantification des impacts du changement climatique sur les régions boréales(2019) |
format |
Article in Journal/Newspaper |
author |
Auda, Yves Lundin, Erik, J Gustafsson, Jonas Pokrovsky, Oleg, S Cazaurang, Simon Orgogozo, Laurent |
author_facet |
Auda, Yves Lundin, Erik, J Gustafsson, Jonas Pokrovsky, Oleg, S Cazaurang, Simon Orgogozo, Laurent |
author_sort |
Auda, Yves |
title |
A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data |
title_short |
A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data |
title_full |
A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data |
title_fullStr |
A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data |
title_full_unstemmed |
A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data |
title_sort |
new land cover map of two watersheds under long-term environmental monitoring in the swedish arctic using sentinel-2 data |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04290497 https://hal.science/hal-04290497/document https://hal.science/hal-04290497/file/Auda_et_al_2023.pdf https://doi.org/10.3390/w15183311 |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) ENVELOPE(7.337,7.337,62.510,62.510) |
geographic |
Arctic Abisko Stordalen |
geographic_facet |
Arctic Abisko Stordalen |
genre |
Abisko Arctic Climate change permafrost Tundra |
genre_facet |
Abisko Arctic Climate change permafrost Tundra |
op_source |
ISSN: 2073-4441 Water https://hal.science/hal-04290497 Water, 2023, 15 (18), pp.3311. ⟨10.3390/w15183311⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/w15183311 hal-04290497 https://hal.science/hal-04290497 https://hal.science/hal-04290497/document https://hal.science/hal-04290497/file/Auda_et_al_2023.pdf doi:10.3390/w15183311 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/w15183311 |
container_title |
Water |
container_volume |
15 |
container_issue |
18 |
container_start_page |
3311 |
_version_ |
1786206177537818624 |