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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.
Chiara Crippa,Giovanni Cuozzo,Mattia Callegari, andClaudia Notarnicola
"Integrating Sentinel-1 radar and Sentinel-2 multispectral data for detecting freshly exposed supraglacial deposits", Proc. SPIE 13195, Microwave Remote Sensing: Data Processing and Applications III, 131950E (18 November 2024); https://doi.org/10.1117/12.3037075
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Chiara Crippa, Giovanni Cuozzo, Mattia Callegari, Claudia Notarnicola, "Integrating Sentinel-1 radar and Sentinel-2 multispectral data for detecting freshly exposed supraglacial deposits," Proc. SPIE 13195, Microwave Remote Sensing: Data Processing and Applications III, 131950E (18 November 2024); https://doi.org/10.1117/12.3037075