Research on the Virtual Reconstruction and Artistic Expression of Plant Landscapes in Urban Parks

Rapid digitalization of ecological environments requires intelligent systems capable of integrating multisource environmental data with virtual visualization technologies. This study proposes an eco-perceptive visualization framework that reconstructs vegetation information in urbanized green environments through multidimensional sensing, adaptive modeling, and intelligent rendering. The proposed framework combines multispectral data acquisition, ecological index calibration, and virtual scene regeneration based on parametric simulation to improve accuracy in spatial representation and environmental analysis. Experimental results indicate that the new system enhances reconstruction precision by 27.8% and reduces visual noise by 33.5%. This research demonstrates the potential of integrating ecological perception and environmental information systems to support sustainable landscape planning and virtual eco-design applications.