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

Conférence Chapitre d'actes Snow Observations from Space: an Approach to Map Snow Cover from Three Decades of Landsat Imagery Across Switzerland eng 2018 author Frau Lorenzo Joseph 837389 author Rizvi Syed R. author Chatenoux Bruno 92551 author Poussin Charlotte 676396 author Richard Jean-Philippe 82559 author Giuliani Gregory 0000-0002-1825-8865 94488 8672-8675 10.1109/igarss.2018.8518394 978-1-5386-7150-4 https://ieeexplore.ieee.org/document/8518394/keywords#keywords 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. Landsat Snow Open Data Cube Switzerland CF Mask Jupyter Dewey 333.7-333.9 18 Institut des sciences de l'environnement 0DB false 673 Envirospace Lab 859 Global Resource Information Database (GRID) 941 ISE Pôle Informatique environnementale 970b71ee-b344-4440-bc52-c9af263975d0 Living Earth Lab IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 22-27 juillet Valencia (Spain) 3caaecc2-2a5a-416f-a488-991eb9abd375 Proceedings chapter (Published version) Public frau.pdf 344321 application/pdf openAccess Centres et instituts / Institut des sciences de l'environnement

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Snow Observations from Space: an Approach to Map Snow Cover from Three Decades of Landsat Imagery Across Switzerland	IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium			2018	609	462

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Frau, Lorenzo Joseph