“Remote sensing products are an important source of data for monitoring Earth resources. With the continuous improvement of product production and service systems, it is urgent to promote the development of high-quality remote sensing products. The quality problem of remote sensing products is the result of the comprehensive influence of multiple sources of errors. Although its overall accuracy can be calculated through authenticity testing, it cannot reflect in detail the specific sources and sizes of errors in each link. To ensure the reliability of remote sensing products, the Earth Quality Assurance Framework (QA4EO) emphasizes the traceability of remote sensing product errors, aiming to trace the errors of remote sensing products to a unified reference benchmark or international standard. This article focuses on error tracing in the production and inspection of remote sensing products, with reference to value tracing methods. It analyzes the sources of measurement and remote sensing product errors, explains the basic connotations of authenticity testing and error tracing, summarizes the basic methods and typical applications of error tracing in remote sensing product production and inspection, and looks forward to the future development trend of error tracing. The results indicate that the current basic methods for error tracing mainly cover three categories: uncertainty based tracing methods, error decomposition and inversion methods, and comprehensive methods for algorithm evaluation and authenticity verification. These methods are typically used for authenticity verification reference values and error tracing of remote sensing basic radiation products. In the future, developing a full chain error propagation model and establishing traceable quality identification is the key to breaking through the bottleneck of traceability. This study can provide theoretical and technical support for further realizing the production and authenticity verification of remote sensing products. The research progress in the field of remote sensing product production and inspection was introduced. Experts focused on error traceability and established a value traceability system to provide solutions for solving the quality problems of remote sensing products.”