Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland
Seasonal snow in the northern regions plays an important role providing water resources for both consumption and hydropower generation. Moreover, the snow changes in northern Finland during winter impact the local agriculture, vegetation, tourism and recreational activities. In this study we estimat...
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ftcopernicus:oai:publications.copernicus.org:egusphere118979 2024-06-23T07:54:09+00:00 Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland Lemos, Adriano Riihelä, Aku 2024-05-13 application/pdf https://doi.org/10.5194/egusphere-2024-869 https://egusphere.copernicus.org/preprints/2024/egusphere-2024-869/ eng eng doi:10.5194/egusphere-2024-869 https://egusphere.copernicus.org/preprints/2024/egusphere-2024-869/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2024-869 2024-06-13T01:24:45Z Seasonal snow in the northern regions plays an important role providing water resources for both consumption and hydropower generation. Moreover, the snow changes in northern Finland during winter impact the local agriculture, vegetation, tourism and recreational activities. In this study we estimated snow depth using an empirical methodology applied to the dual-polarisation of the Sentinel-1 synthetic aperture radar (SAR) images and compared with in situ measurements collected by automatic weather stations (AWS) in northern Finland. We applied an adapted version of the empirical methodology developed by Lievens et al. (2019) to retrieve snow depth, using Sentinel-1 constellation between 2019 and 2022, and then compared to measurements from three automatic weather stations available over the same period. Overall, the Sentinel-1 snow depth retrievals were underestimated in comparison with the in-situ measurements from the automatic weather stations. We found slightly different patterns for the different years, and an overall correlation factor of 0.41, and a higher correlation in the 2020–2021 season (R=0.52). The high correlation between estimated and measured snow depth at the Inari Nellim location (R=0.81) reinforces the potential ability to derive snow changes in regions where in situ measurements of snow are currently lacking. Further investigation is still necessary to better understand how the physical properties of the snowpack influence the backscatter response over shallow snow regions. Text Inari Northern Finland Copernicus Publications: E-Journals Inari ENVELOPE(27.029,27.029,68.906,68.906) Nellim ENVELOPE(28.306,28.306,68.847,68.847) The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
Seasonal snow in the northern regions plays an important role providing water resources for both consumption and hydropower generation. Moreover, the snow changes in northern Finland during winter impact the local agriculture, vegetation, tourism and recreational activities. In this study we estimated snow depth using an empirical methodology applied to the dual-polarisation of the Sentinel-1 synthetic aperture radar (SAR) images and compared with in situ measurements collected by automatic weather stations (AWS) in northern Finland. We applied an adapted version of the empirical methodology developed by Lievens et al. (2019) to retrieve snow depth, using Sentinel-1 constellation between 2019 and 2022, and then compared to measurements from three automatic weather stations available over the same period. Overall, the Sentinel-1 snow depth retrievals were underestimated in comparison with the in-situ measurements from the automatic weather stations. We found slightly different patterns for the different years, and an overall correlation factor of 0.41, and a higher correlation in the 2020–2021 season (R=0.52). The high correlation between estimated and measured snow depth at the Inari Nellim location (R=0.81) reinforces the potential ability to derive snow changes in regions where in situ measurements of snow are currently lacking. Further investigation is still necessary to better understand how the physical properties of the snowpack influence the backscatter response over shallow snow regions. |
format |
Text |
author |
Lemos, Adriano Riihelä, Aku |
spellingShingle |
Lemos, Adriano Riihelä, Aku Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland |
author_facet |
Lemos, Adriano Riihelä, Aku |
author_sort |
Lemos, Adriano |
title |
Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland |
title_short |
Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland |
title_full |
Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland |
title_fullStr |
Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland |
title_full_unstemmed |
Snow depth derived from Sentinel-1 compared to in-situ observations in northern Finland |
title_sort |
snow depth derived from sentinel-1 compared to in-situ observations in northern finland |
publishDate |
2024 |
url |
https://doi.org/10.5194/egusphere-2024-869 https://egusphere.copernicus.org/preprints/2024/egusphere-2024-869/ |
long_lat |
ENVELOPE(27.029,27.029,68.906,68.906) ENVELOPE(28.306,28.306,68.847,68.847) ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Inari Nellim The Sentinel |
geographic_facet |
Inari Nellim The Sentinel |
genre |
Inari Northern Finland |
genre_facet |
Inari Northern Finland |
op_source |
eISSN: |
op_relation |
doi:10.5194/egusphere-2024-869 https://egusphere.copernicus.org/preprints/2024/egusphere-2024-869/ |
op_doi |
https://doi.org/10.5194/egusphere-2024-869 |
_version_ |
1802646185550282752 |