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

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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Bibliographic Details
Main Authors: Iwona Podsiadlo, Claudia Paris, Mattia Callegari, Carlo Marin, Daniel Gunther, Ulrich Strasser, Claudia Notarnicola, Lorenzo Bruzzone
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Data integration
glacier mass balance (GMB)
hydroclimatological model
machine learning
parameter estimation
remote sensing (RS)
Online Access:https://ieeexplore.ieee.org/document/9212596/

Internet

https://ieeexplore.ieee.org/document/9212596/

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