Towards Sentinel-1 SAR analysis-ready data: a best practices assessment on preparing backscatter data for the cube

Truckenbrodt, John; Freemantle, Terri; Williams, Chris; Jones, Tom; Small, David; Dubois, Clémence; Thiel, Christian; Rossi, Cristian; Syriou, Asimina; Giuliani, Gregory

doi:10.3390/data4030093

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Truckenbrodt, J., Freemantle, T., Williams, C., Jones, T., Small, D., Dubois, C., Thiel, C., Rossi, C., Syriou, A., & Giuliani, G. (2019). Towards Sentinel-1 SAR analysis-ready data: a best practices assessment on preparing backscatter data for the cube. Data, 4(3), 93. https://doi.org/10.3390/data4030093

Abstract

This study aims at assessing the feasibility of automatically producing analysis-ready radiometrically terrain-corrected (RTC) Synthetic Aperture Radar (SAR) gamma nought backscatter data for ingestion into a data cube for use in a large spatio-temporal data environment. As such, this study investigates the analysis readiness of different openly available digital elevation models (DEMs) and the capability of the software solutions SNAP and GAMMA in terms of overall usability as well as backscatter data quality. To achieve this, the st