The Potential of Sentinel-1A Data for Identification of Debris-Covered Alpine Glacier Based on Machine Learning Approach

The Potential of Sentinel-1A Data for Identification of Debris-Covered Alpine Glacier Based on Machine Learning Approach

Microwave remote sensing is one of the main approaches to glacier monitoring. This paper provides a comparative analysis of how different types of radar information differ in identifying debris-covered alpine glaciers using machine learning algorithms. Based on Sentinel-1A data, three data suites we...

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Bibliographic Details
Main Authors: Guohui Yao, Xiaobing Zhou, Changqing Ke, Lhakpa Drolma, Haidong Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
backscattering coefficient
interferometric coherence coefficient
polarization decomposition
machine learning classification
Sentinel-1A
Online Access:https://www.mdpi.com/2072-4292/14/9/1980

Internet

https://www.mdpi.com/2072-4292/14/9/1980

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