Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation

This article presents an approach to improve the estimation of the glacier mass balance (GMB) of six selected alpine glaciers in the European Alps. This is achieved by combining three complementary data sources: hydroclimatological model, remote sensing (RS) data, and ground measurements. The hydroc...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2020, Vol.13, p.6177-6194
Hauptverfasser:	Podsiadlo, Iwona, Paris, Claudia, Callegari, Mattia, Marin, Carlo, Gunther, Daniel, Strasser, Ulrich, Notarnicola, Claudia, Bruzzone, Lorenzo
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Computational modeling Data Data integration Data models Data sources Glacier mass balance glacier mass balance (GMB) Glaciers hydroclimatological model Ice Integration machine learning Mass Mass balance Mathematical models Numerical models Parameter estimation Regression analysis Regression models Remote sensing remote sensing (RS) Resolution Simulation Snow Snow accumulation Spatial discrimination Spatial resolution Surface properties Temporal resolution
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