DocumentCode :
16852
Title :
Potential of Operational High Spatial Resolution Near-Infrared Remote Sensing Instruments for Snow Surface Type Mapping
Author :
Buhler, Y. ; Meier, L. ; Ginzler, C.
Author_Institution :
WSL Inst. for Snow & Avalanche Res. SLF, Davos, Switzerland
Volume :
12
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
821
Lastpage :
825
Abstract :
Snow changes its morphology permanently from the moment a snow flake touches the ground. Under the influence of meteorological factors such as temperature, humidity, and wind, snow grains form complex structures of ice bonds enclosing variable portions of air. The characteristics of such structures are important for the formation of snow avalanches. Certain snow types such as surface hoar, ice crusts, or windblown snow play a major role in the formation of weak layers and slabs, which are precondition for dangerous slab avalanches. The reflection properties of snow depend on the optical equivalent grain size of the ice particles that constitute the snow cover. High spatial resolution remote sensing instruments with near-infrared (0.7-1.4 μm) bands are able to detect such differences in the optical reflection of snow. We use normalized difference index band ratios from a spaceborne and an airborne remote sensing instrument to distinguish and map different snow-surface types in the neighborhood of Davos, Switzerland, enabling a valuable visualization of the spatial variability of the snow surface.
Keywords :
hydrological equipment; hydrological techniques; remote sensing; snow; airborne remote sensing instrument; dangerous slab avalanches; humidity meteorological factor; ice bond complex structures; ice crusts; ice particles; near-infrared bands; near-infrared remote sensing instruments; snow flake; snow grains; snow surface type mapping; spaceborne remote sensing instrument; temperature meteorological factor; wind meteorological factor; windblown snow; Grain size; Instruments; Optical imaging; Optical sensors; Remote sensing; Snow; Spatial resolution; Near infrared (NIR); optical; snow; snow avalanches; snow grain size;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2014.2363237
Filename :
6939633
Link To Document :
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