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Snow Observations from Space: an Approach to Map Snow Cover from Three Decades of Landsat Imagery Across SwitzerlandSnow 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.
Document ID
20190002551
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Frau, Lorenzo
(Université de Genève Geneva, Switzerland)
Rizvi, Syed R.
(Analytical Mechanics Associates, Inc. Hampton, VA, United States)
Chatenoux, Bruno
(Université de Genève Geneva, Switzerland)
Poussin, Charlotte
(Université de Genève Geneva, Switzerland)
Richard, Jean-Philippe
(Université de Genève Geneva, Switzerland)
Giuliani, Gregory
(Université de Genève Geneva, Switzerland)
Date Acquired
April 17, 2019
Publication Date
July 22, 2018
Subject Category
Social And Information Sciences (General)
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-29229
Meeting Information
Meeting: International Geoscience and Remote Sensing Symposium
Location: Valencia
Country: Spain
Start Date: July 22, 2018
End Date: July 27, 2018
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 144598.01.02.03
Distribution Limits
Public
Copyright
Public Use Permitted.
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