 This paper proposes a new approach for jointly estimating grassland leaf area index, LAI, and chlorophyll content, CAB, from unmanned aerial vehicle, UAV, hyperspectral data. It first identifies optimal vegetation indices, this, for LAI and CAB estimation using prosail model. Then, it establishes four pairs of this to build a two-dimensional matrix. This matrix is used to determine the relationship between this and LAI and CAB values. Finally, LAI and CAB are jointly retrieved by using the two-layer matrix. This method reduces the cross-influence between LAI and CAB, resulting in higher accuracy for LAI and CAB retrieval. Additionally, as a method similar to lookup table, the two-layer matrix can be used directly for LAI and CAB estimation without the need for prior measurements for training. This article was authored by Xiao Hua Zhu, Qian Yang, Xin Yu Chen, and others. We are article.tv. Links in the description below.