A snow cover mapping algorithm based on a multitemporal dataset for GK-2A imagery

Snow plays a crucial role in the climate. In particular, snow controls surface temperature and stabilizes energy budget due to its spectral characteristics. However, can be affected by climate change. If cover extent (SCE) diminishes global warming, rate of introducing radiance increases because non-snow areas absorb more solar radiance. Therefore, it is highly important accurately detect snow-covered areas. this paper, we develop an algorithm for deriving daily map East Asia using Geostationary-Korean Multi-Purpose SATellite-2A (GEO-KOMPSAT-2A, GK-2A) imagery. After processes cloud masking misclassification removal are conducted, threshold with consideration characteristics geostationary satellite applied normalized difference index (NDSI), generated utilizing stacking process. case mask, angle-time variation displacement clouds proposed study were used enhance accuracy detection. For quantitative validation, F1 score was 0.89 Landsat-8 0.79 interactive multisensor ice mapping system (IMS). addition, when calculated from IMS compared, correlation reached 0.91 December 2020 January 2021.