Mapping snow cover extent using optical and SAR data
Snow cover plays an important role both globally and regionally as it is fundamental for local water availability, river run-off, and groundwater recharge. Hence, the exact knowledge of extent and dynamic of the snow coverage is essential. This study combines synergetic optical and SAR data with the...
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ftdlr:oai:elib.dlr.de:121922 2024-05-19T07:39:25+00:00 Mapping snow cover extent using optical and SAR data Wendleder, Anna Dietz, Andreas Schork, Katharina 2018 application/pdf https://elib.dlr.de/121922/ https://elib.dlr.de/121922/1/0005108.pdf en eng https://elib.dlr.de/121922/1/0005108.pdf Wendleder, Anna und Dietz, Andreas und Schork, Katharina (2018) Mapping snow cover extent using optical and SAR data. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 5108-5111. IGARSS 2018, 2018-07-22 - 2018-07-27, Valenica, Spanien. doi:10.1109/igarss.2018.8518374 <https://doi.org/10.1109/igarss.2018.8518374>. Landoberfläche Konferenzbeitrag NonPeerReviewed 2018 ftdlr https://doi.org/10.1109/igarss.2018.8518374 2024-04-25T00:46:58Z Snow cover plays an important role both globally and regionally as it is fundamental for local water availability, river run-off, and groundwater recharge. Hence, the exact knowledge of extent and dynamic of the snow coverage is essential. This study combines synergetic optical and SAR data with the main object to map the snow cover extent. As the Sentinel-Mission provides a wide swath width and a high revisit time (2-3 days at mid-latitudes with same acquisition geometry), the Sentinel-1 Interferometric Wide Swath Mode (IW) SAR data and Sentinel-2 multi-spectral data are used. Additionally, the TanDEM-X DEM is applied for the exact determination of the snow line as well as for snow classification. The mapping of the snow cover extent is applied on the three test sites Devon Island in Canada, Nordenskiöld, Svalbard, and French Alps, France which are characterized by different topography and land cover. The classification achieved an overall accuracy of 85% for Devon Island, 60% for Nordenskiöld and 88 % for the French Alps. Conference Object Devon Island Svalbard German Aerospace Center: elib - DLR electronic library IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 5104 5107 |
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German Aerospace Center: elib - DLR electronic library |
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Landoberfläche Wendleder, Anna Dietz, Andreas Schork, Katharina Mapping snow cover extent using optical and SAR data |
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Landoberfläche |
description |
Snow cover plays an important role both globally and regionally as it is fundamental for local water availability, river run-off, and groundwater recharge. Hence, the exact knowledge of extent and dynamic of the snow coverage is essential. This study combines synergetic optical and SAR data with the main object to map the snow cover extent. As the Sentinel-Mission provides a wide swath width and a high revisit time (2-3 days at mid-latitudes with same acquisition geometry), the Sentinel-1 Interferometric Wide Swath Mode (IW) SAR data and Sentinel-2 multi-spectral data are used. Additionally, the TanDEM-X DEM is applied for the exact determination of the snow line as well as for snow classification. The mapping of the snow cover extent is applied on the three test sites Devon Island in Canada, Nordenskiöld, Svalbard, and French Alps, France which are characterized by different topography and land cover. The classification achieved an overall accuracy of 85% for Devon Island, 60% for Nordenskiöld and 88 % for the French Alps. |
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Conference Object |
author |
Wendleder, Anna Dietz, Andreas Schork, Katharina |
author_facet |
Wendleder, Anna Dietz, Andreas Schork, Katharina |
author_sort |
Wendleder, Anna |
title |
Mapping snow cover extent using optical and SAR data |
title_short |
Mapping snow cover extent using optical and SAR data |
title_full |
Mapping snow cover extent using optical and SAR data |
title_fullStr |
Mapping snow cover extent using optical and SAR data |
title_full_unstemmed |
Mapping snow cover extent using optical and SAR data |
title_sort |
mapping snow cover extent using optical and sar data |
publishDate |
2018 |
url |
https://elib.dlr.de/121922/ https://elib.dlr.de/121922/1/0005108.pdf |
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Devon Island Svalbard |
genre_facet |
Devon Island Svalbard |
op_relation |
https://elib.dlr.de/121922/1/0005108.pdf Wendleder, Anna und Dietz, Andreas und Schork, Katharina (2018) Mapping snow cover extent using optical and SAR data. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 5108-5111. IGARSS 2018, 2018-07-22 - 2018-07-27, Valenica, Spanien. doi:10.1109/igarss.2018.8518374 <https://doi.org/10.1109/igarss.2018.8518374>. |
op_doi |
https://doi.org/10.1109/igarss.2018.8518374 |
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IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
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5104 |
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5107 |
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