Abstract. The snow cover products of optical remote sensing systems play an important role in research into global climate change, the hydrological cycle, the energy balance, and so on. However,… Click to show full abstract
Abstract. The snow cover products of optical remote sensing systems play an important role in research into global climate change, the hydrological cycle, the energy balance, and so on. However, cloud cover results in spatial and temporal discontinuity for long-term snow monitoring. In the last few decades, a large number of cloud removal methods for snow cover products have been proposed. In this paper, our goal is to make a comprehensive summarization of the existing algorithms for generating spatio-temporally continuous snow cover products, and to expose the development trends. The methods of generating spatio-temporally continuous snow cover products are classified into spatial methods, temporal methods, spatio-temporal methods, and multi-source fusion methods. Experiments were conducted to validate the reconstruction effect of the representative methods.
               
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