Quality control and quality assessment are important tasks in developing quantitative remote sensing products. Product quality can provide detailed information for users. However

quality control and assessment of remote sensing products may be d ifficult to achieve

particularly for products with complicated algorithms that require the verification and assessment of numerous inputs

which is time-consuming. This paper describes a proposed method of quality control and quality assessment for Photosynthetically Active Radiation（ PAR） products. Within the design of the overall technology framework

the detailed input data

the quality control system for the products

and the method of quality control and quality assessment are clearly demonstrated. Multisource remote sensing data and other geographical data for PAR estimates can result in numerous uncertainties. Thus

the quality control scheme was established using algorithm uncertainty analysis

quality system design and multiple levels of the products

and each possible uncertainty / error was recorded in the overall assessment of the products. The quality assessment method is briefly d escribed using the ground measured data and quality designation of products.