Snow cover information has great significance for monitoring and preventing snowstorms. With the development of
satellite technology, geostationary satellites are playing more important roles in snow monitoring. Currently, cloud
interference is a serious problem for obtaining accurate snow cover information. Therefore, the cloud pixels located in the
MODIS snow products are usually replaced by cloud-free pixels around the day, which ignores snow cover dynamics.
FengYun-2(FY-2) is the first generation of geostationary satellite in our country which complements the polar orbit
satellite. The snow cover monitoring of Northeast China using FY-2G data in January and February 2016 is introduced in
this paper. First of all, geometric and radiometric corrections are carried out for visible and infrared channels. Secondly,
snow cover information is extracted according to its characteristics in different channels. Multi-threshold judgment
methods for the different land types and similarity separation techniques are combined to discriminate snow and cloud.
Furthermore, multi-temporal data is used to eliminate cloud effect. Finally, the experimental results are compared with the
MOD10A1 and MYD10A1 (MODIS daily snow cover) product. The MODIS product can provide higher resolution of the
snow cover information in cloudless conditions. Multi-temporal FY-2G data can get more accurate snow cover information
in cloudy conditions, which is beneficial for monitoring snowstorms and climate changes.