Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service
Abstract. Monitoring natural phenomena and environment on a large scale by in-situ measurements is slow, costly, and might be challenging on rough terrains. Satellite data offers an alternative to obtain continuous measurements on large areas. In order to achieve this, satellite data has to be trust...
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ftunivoulu:oai:oulu.fi:nbnfioulu-202309073002 2023-10-09T21:44:18+02:00 Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service Hyry, J. (Jenni) 2023-09-07 application/pdf http://jultika.oulu.fi/Record/nbnfioulu-202309073002 eng eng University of Oulu info:eu-repo/semantics/openAccess © Jenni Hyry, 2023. Except otherwise noted, the reuse of this document is authorised under a Creative Commons Attribution 4.0 International (CC-BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). This means that reuse is allowed provided appropriate credit is given and any changes are indicated. For any use or reproduction of elements that are not owned by the author(s), permission may need to be directly from the respective right holders. Tietotekniikka info:eu-repo/semantics/bachelorThesis info:eu-repo/semantics/publishedVersion 2023 ftunivoulu 2023-09-13T23:00:05Z Abstract. Monitoring natural phenomena and environment on a large scale by in-situ measurements is slow, costly, and might be challenging on rough terrains. Satellite data offers an alternative to obtain continuous measurements on large areas. In order to achieve this, satellite data has to be trustworthy and exact. Arctic regions have a special and unforeseeable role for climate change effects. Glaciers act as a freshwater reservoir, and their albedo effect maintains a global balance that climate change disrupts. Snow cover extent, snow water equivalent, first and last days of snow, and amount of snowy days are important metrics when monitoring changes in snow behaviour and studies related to climate change. In this thesis two products offered by Copernicus Global Land Service will be analyzed: snow cover extent and snow water equivalent. This will be done by fitting in-situ measurement data to satellite data and using several different evaluation metrics. Data is obtained from three cities in Finland: Sodankylä, Oulu, and Vantaa. The results reveal that 91.3% of snow water equivalent satellite data variance can be explained by in-situ data according to Nash-Sutcliffe model efficiency coefficient. For snow cover extent the results were not as straightforward due to binarization — F1-score for the whole binarized dataset was 0.728, while for Oulu, Vantaa, and Sodankylä it was 0.356, 0.849, and 0.957, respectively. The results support that satellite data is trustworthy for snow water equivalent for every city, and also for snow cover extent, when evaluating the dataset as a whole.Lumen peittoalan ja vesiarvon analyysi Copernicus Global Land Service -palvelun aineistolle. Tiivistelmä. Luonnonilmiöiden ja ympäristön monitorointi laajassa mittakaavassa in-situ mittauksin on hidasta, kallista sekä vaikeakulkuisilla alueilla haastavaa, eikä näin saatu data ole jatkuvaa. Satelliittidata tuo mahdollisuuden kiertää nämä haasteet. Tämä edellyttää, että satelliittidata on luotettavaa ja paikkansapitävää. Arktisilla ... Bachelor Thesis albedo Arctic Arktis* Climate change Sodankylä Jultika - University of Oulu repository Arctic Nash ENVELOPE(-62.350,-62.350,-74.233,-74.233) Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Sutcliffe ENVELOPE(-81.383,-81.383,50.683,50.683) |
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Open Polar |
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Jultika - University of Oulu repository |
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ftunivoulu |
language |
English |
topic |
Tietotekniikka |
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Tietotekniikka Hyry, J. (Jenni) Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service |
topic_facet |
Tietotekniikka |
description |
Abstract. Monitoring natural phenomena and environment on a large scale by in-situ measurements is slow, costly, and might be challenging on rough terrains. Satellite data offers an alternative to obtain continuous measurements on large areas. In order to achieve this, satellite data has to be trustworthy and exact. Arctic regions have a special and unforeseeable role for climate change effects. Glaciers act as a freshwater reservoir, and their albedo effect maintains a global balance that climate change disrupts. Snow cover extent, snow water equivalent, first and last days of snow, and amount of snowy days are important metrics when monitoring changes in snow behaviour and studies related to climate change. In this thesis two products offered by Copernicus Global Land Service will be analyzed: snow cover extent and snow water equivalent. This will be done by fitting in-situ measurement data to satellite data and using several different evaluation metrics. Data is obtained from three cities in Finland: Sodankylä, Oulu, and Vantaa. The results reveal that 91.3% of snow water equivalent satellite data variance can be explained by in-situ data according to Nash-Sutcliffe model efficiency coefficient. For snow cover extent the results were not as straightforward due to binarization — F1-score for the whole binarized dataset was 0.728, while for Oulu, Vantaa, and Sodankylä it was 0.356, 0.849, and 0.957, respectively. The results support that satellite data is trustworthy for snow water equivalent for every city, and also for snow cover extent, when evaluating the dataset as a whole.Lumen peittoalan ja vesiarvon analyysi Copernicus Global Land Service -palvelun aineistolle. Tiivistelmä. Luonnonilmiöiden ja ympäristön monitorointi laajassa mittakaavassa in-situ mittauksin on hidasta, kallista sekä vaikeakulkuisilla alueilla haastavaa, eikä näin saatu data ole jatkuvaa. Satelliittidata tuo mahdollisuuden kiertää nämä haasteet. Tämä edellyttää, että satelliittidata on luotettavaa ja paikkansapitävää. Arktisilla ... |
format |
Bachelor Thesis |
author |
Hyry, J. (Jenni) |
author_facet |
Hyry, J. (Jenni) |
author_sort |
Hyry, J. (Jenni) |
title |
Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service |
title_short |
Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service |
title_full |
Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service |
title_fullStr |
Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service |
title_full_unstemmed |
Analysis of snow cover extent and snow water equivalent products provided by Copernicus Global Land Service |
title_sort |
analysis of snow cover extent and snow water equivalent products provided by copernicus global land service |
publisher |
University of Oulu |
publishDate |
2023 |
url |
http://jultika.oulu.fi/Record/nbnfioulu-202309073002 |
long_lat |
ENVELOPE(-62.350,-62.350,-74.233,-74.233) ENVELOPE(26.600,26.600,67.417,67.417) ENVELOPE(-81.383,-81.383,50.683,50.683) |
geographic |
Arctic Nash Sodankylä Sutcliffe |
geographic_facet |
Arctic Nash Sodankylä Sutcliffe |
genre |
albedo Arctic Arktis* Climate change Sodankylä |
genre_facet |
albedo Arctic Arktis* Climate change Sodankylä |
op_rights |
info:eu-repo/semantics/openAccess © Jenni Hyry, 2023. Except otherwise noted, the reuse of this document is authorised under a Creative Commons Attribution 4.0 International (CC-BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). This means that reuse is allowed provided appropriate credit is given and any changes are indicated. For any use or reproduction of elements that are not owned by the author(s), permission may need to be directly from the respective right holders. |
_version_ |
1779322287808315392 |