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

Frau, Lorenzo ; Rizvi, Syed R ; Chatenoux, Bruno ; Poussin, Charlotte ; Richard, Jean-Philippe ; Giuliani, Gregory

关键词: ALGORITHMS;    CLIMATE CHANGE;    DATA STORAGE;    DETECTION;    EARTH RESOURCES;    GEOLOGICAL SURVEYS;    LANDSAT SATELLITES;    REMOTE SENSING;    SATELLITE IMAGERY;    SENTINEL SYSTEM;    SNOW COVER;    SWITZERLAND;   

RP-ID  :  NF1676L-29229

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

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.