Integrating Sentinel-1 radar and Sentinel-2 multispectral data for detecting freshly exposed supraglacial deposits

We propose a tool that integrates spaceborne radar data from Sentinel-1 and multispectral data from Sentinel-2 satellites to detect fresh debris accumulation or rock exposure on alpine glaciers. The tool leverages the VH cross-polarized backscatter difference between Sentinel-1 radar images to pinpoint clusters of pixels exhibiting prominent changes over time. It then integrates the NDSI information from Sentinel-2 multispectral images to discriminate between potential causes of the observed backscatter variations, such as snow cover changes, rock exposure or debris accumulation. The correlation between time series of VH values further allows to distinguish between localized phenomena like landslides and extensive ones like glacial surface changes due to snow metamorphism or accumulation. The tool is implemented in Google Earth Engine (GEE) and leverages open-source libraries and datasets, making it readily adaptable to other glacial environments.

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Publication Details

Published
2024-11-19
DOI
https://doi.org/10.1117/12.3037075
Primary Topic
Landslides and related hazards
Type
article
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article

Integrating Sentinel-1 radar and Sentinel-2 multispectral data for detecting freshly exposed supraglacial deposits

Claudia Notarnicola, Mattia Callegari, Giovanni Cuozzo, Chiara Crippa
Landslides and related hazards
article

Integrating Sentinel-1 radar and Sentinel-2 multispectral data for detecting freshly exposed supraglacial deposits

Claudia Notarnicola, Mattia Callegari, Giovanni Cuozzo, Chiara Crippa
article en

Abstract

We propose a tool that integrates spaceborne radar data from Sentinel-1 and multispectral data from Sentinel-2 satellites to detect fresh debris accumulation or rock exposure on alpine glaciers. The tool leverages the VH cross-polarized backscatter difference between Sentinel-1 radar images to pinpoint clusters of pixels exhibiting prominent changes over time. It then integrates the NDSI information from Sentinel-2 multispectral images to discriminate between potential causes of the observed backscatter variations, such as snow cover changes, rock exposure or debris accumulation. The correlation between time series of VH values further allows to distinguish between localized phenomena like landslides and extensive ones like glacial surface changes due to snow metamorphism or accumulation. The tool is implemented in Google Earth Engine (GEE) and leverages open-source libraries and datasets, making it readily adaptable to other glacial environments.

Eurac Research (IT)
Climate action
Openalex Percentile: Top 69%
Landslides and related hazards
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