%0 Dataset
%T "The Belt and Road" Snow First Day Data Set (2000-2024)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/3ee02200-083c-475a-a82b-b26f07fac78d
%W NCDC
%R 10.12072/ncdc.nieer.db6900.2025
%A HAO Xiaohua 
%A ZHAO Qin
%A JI Wenzheng
%A GAO Weiqinag
%K The Belt and Road;snow coverage;snow coverage ratio
%X Based on multi-source remote sensing data, a set of snow area data of the "the Belt and Road" region was generated by using the MARS model combined with the method of land type features for automatic snow recognition. By leveraging the advantages of machine learning in solving nonlinear fitting problems and avoiding the misjudgment of traditional snow remote sensing recognition in complex terrain and terrain, the accuracy of this product in mountainous and forested areas has significantly improved compared to existing MODIS snow products. On the basis of this product, a dataset of the first day of snow accumulation was calculated. The definition of the first day of snow accumulation is the corresponding date of the first consecutive 5-day occurrence of snow in a hydrological year.