 This paper proposes a new approach to modeling cross-correlated random fields of soil slope. It first analyzes how the cross-correlations between different soil parameters affect the random field. Then it uses copulas to connect multivariate random fields. Finally, for algorithms associated with Gaussian, Frank, Placket, and No. 16 copulas are developed to simulate the cross-correlated random fields of transversely anisotropic slope. The results demonstrate that the proposed method is effective at reducing multi-source uncertainties and providing accurate simulations of cross-correlated random fields of soil slope. This article was authored by Xinlong Zhou, Yeyang Sun, and Henglin