Improving SWE Estimation by Fusion of Snow Models with Topographic and Remotely Sensed Data

This paper presents a new concept to derive the snow water equivalent (SWE) based on the joint use of snow model (AMUNDSEN) simulation, ground data, and auxiliary products derived from remote sensing. The main objective is to characterize the spatial-temporal distribution of the model-derived SWE de...

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Bibliographic Details
Main Authors: Ludovica De Gregorio, Daniel Günther, Mattia Callegari, Ulrich Strasser, Marc Zebisch, Lorenzo Bruzzone, Claudia Notarnicola
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/17/2033