Land cover products are the main products among remote sensing satellite products, presenting the state and changes of the earth's surface and serving global environment and regional sustainable development. However, affected by factors such as different image data sources, classification techniques and production environments, the product accuracy shows great differences in practical applications, which are reflected in product varieties, specifications, quality, scale and timeliness, resulting in huge challenges in the authenticity verification of land cover products in practical applications. In this paper, aiming at the aerospace remote sensing application mode of "standarization for satellites design and it's optimal applications", a land cover product verification method based on ground control DS of classification is proposed. Starting from the requirements for verification samples in terms of quantity, quality, and distribution, it constructs credible classified control parties with controllable distribution, quantity, and quality, optimizes the verification process, and realizes truth-value verification for land cover products produced from different satellite data. By optimizing the verification process, a new approach is provided for the authenticity verification of large-scale land cover products.