Abstract: To fully explore the agricultural application potential of HY-1C/CZI data, we analyzed the spectral signatures of 5 different ground objects of early sowing winter wheat, late sowing winter wheat, bare land and buildings, forests, and water in Shangqiu, Henan and its adjacent area, by taking HY-1C/CZI data as basic data source, combining with land utilization status data and visual interpretation data; and extracted the winter wheat area based on the decision tree classification method on the basis of spectral analysis. The extraction results ofwinterwheatareashowedthat:thetotalsowingareaofwinterwheatinthestudyareain 2018was69.42×104 hm2; the accuracy of extraction result was verified with the ground validation points obtained by visual interpretation, indicating that the overall accuracy of winter wheat extraction result was 91.80%, with Kappa coefficient of 0.84, and the user accuracy and the mapping accuracy of winter wheat were 91.88% and 92.91%, respectively. Data based on HY-1C/CZI is capable to identify and extract the winter wheat at an early age with a comparative extraction accuracy as other similar data sources, indicating that HY-1C/CZI data has certain agricultural application potential.