Application of ensemble-based systems for snow-mapping using NOAA-AVHRR data over Eastern Canada.

Roberge, Sophie; Chokmani, Karem et 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.

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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.

Type de document:	Document issu d'une conférence ou d'un atelier
Mots-clés libres:	snow extent; optical sensor; AVHRR; image classification; ensemble mapping
Centre:	Centre Eau Terre Environnement
Date de dépôt:	09 déc. 2019 21:17
Dernière modification:	09 déc. 2019 21:17
URI:	https://espace.inrs.ca/id/eprint/4816

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