“New progress has been made in the study of vegetation canopy structure parameters. Researchers have proposed a method for dynamically selecting the end element CI components of mixed forest pixels to improve the accuracy of estimating vegetation aggregation index in coniferous and broad-leaved mixed forests, in response to the accuracy issues of existing methods for estimating CI products on satellite. This method utilizes the dual constraints of the International Geosphere Biosphere Programme's surface types and the surface anisotropic flatness index that describes the bidirectional reflectance distribution function, combined with high-resolution land cover classification data to determine the area ratio of end elements in pixels, in order to estimate the clustering index of MODIS coniferous and broad-leaved mixed forest pixels. The research results indicate that this method can significantly improve the estimation accuracy of pixel CI values in mixed coniferous and broad-leaved forests, providing a feasible solution for the production and accuracy improvement of CI products in mixed coniferous and broad-leaved forests. This research achievement is of great significance for global carbon, water cycle research, and vegetation ecology research.”