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Title

Snow Observations from Space: an Approach to Map Snow Cover from Three Decades of Landsat Imagery Across Switzerland

Authors
Rizvi, Syed R.
Published in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia (Spain) - 22-27 juillet - . 2018, p. 8672-8675
Abstract Snow accumulation is one of the most important forms of water storage. The natural cycle of water is being increasingly influenced by climate change and will continue to change in the future. To understand the evolution of snow cover and to perfect its accurate detection UN Environment/GRID-Geneva and the University of Geneva have developed a Snow Detection tool called “Snow Observations from Space” for the Swiss Data Cube. The Snow Detection tool uses the C Function of Mask to identify snow pixels and then subsequently produces a normalized detection raster. Through further development, this tool will reach its full potential as an accurate method of detecting snow cover change for Switzerland.
Keywords LandsatSnowOpen Data CubeSwitzerlandCF MaskJupyter
Identifiers
ISBN: 978-1-5386-7150-4
Full text
Structures
Research groups Envirospace Lab
Global Resource Information Database (GRID)
ISE Pôle Informatique environnementale
Citation
(ISO format)
FRAU, Lorenzo Joseph et al. Snow Observations from Space: an Approach to Map Snow Cover from Three Decades of Landsat Imagery Across Switzerland. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia (Spain). [s.l.] : [s.n.], 2018. p. 8672-8675. https://archive-ouverte.unige.ch/unige:110900

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Deposited on : 2018-11-16

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