Methodology for geographical data evolution: three-dimensional particle-based real-time snow simulation with remote-sensing data

Abstract

Abstract. Even if current remote-sensing technology provides more spatial information, remote-sensing data with discontinuous spatial and temporal resolutions are still not adequate. To compensate for the missing data of remote sensing, we create a methodology for geographical data evolution from a snow simulation. Numerical algorithms based on snow simulation and environmental phenomenon interaction algorithms are presented to evolve remote-sensing data in a virtual environment. Specifically, the methodology involves the establishment of a suitable three-dimensional data model and the discrete numerical expressions of geological or geographical phenomena. The modeling solution of environmental phenomena reactions is based on remote-sensing data. This computational simulation does not merely generate new data and spatial resolutions at a given time, but it offers multiscale environmental characteristics of the Earth and presents reference for its future scene.