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A Method to Identify High-Quality Pure Snow Data in Polder Database

A series reflectance models for snow have been developed in recent years, but there is no trusted pure snow database to test the models yet. The Polarization and Directionality of Earth Reflectances (POLDER) BRDF data have been widely used in quantitative remote sensing community, but the recent research has revealed that an obvious wrong classification has occurred in snow POLDER BRDF database. In this study, we propose a snow index (SI) to characterize the scattering feature of snow based on RTLSRS model and develop an effective method to identify the pure snow data in POLDER database. Finally, we build a snow database with higher purity, providing a data support for model validation in the future.