Roberge, Sophie; Chokmani, Karem; De Sève, Danielle
(2014).
Application of ensemble-based systems for snow-mapping using NOAA-AVHRR data over Eastern Canada.
In: IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2014, 13-18 juillet 2014, Québec, Canada.
Résumé
Common operational snow cover products based on optical
or passive microwave sensors (IMS, MODIS SNOWMAP,
NOAA GOES+SSM/I, etc.) provide maps of the snow cover
extent or fractional snow cover maps. These snow cover
products do not provide the probability of observing snow
and its uncertainty. This information is crucial in the context
of forecasting water supplies to support efficient electricity.
This study’s objective is to develop probability maps with
ensemble-based systems, where probabilities could be used
to flag the onset of spring melt. To achieve this, bagging and
majority voting were implemented in the snow-mapping
procedure using AVHRR-KLM data of Eastern Canada.
This consists in generating 100 versions based on a random
variation of the six empirical threshold parameters included
in the procedure. The probability of a pixel corresponds to
the number of times it was identified as snow, no-snow or
cloud.
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