Spatial-Temporal Visualization and Analysis of Earth Data Under Cesium Digital Earth Engine

Due to the increasing importance and demand of 3D Web GIS for visualization and spatial-temporal analysis of Big Earth data, this research proposes and develops methods of intelligent spatial location search and KML-based (Keyhole Markup Language) visualization of spatial-temporal remote sensing data under the open Cesium Digital Earth framework. The results demonstrate the design and implementation of visualization for tiled time-series remote sensing imagery and KML time-sequence image data using Cesium.js based on HTML5 and WebGL(Web Graphic Library) technology, which greatly facilitates spatial data mining of correlation between dimensions and periodic development within the big Earth data. Such method plays an important role in disaster relief as well as being a scientific decision-making tool for government agencies. Furthermore, building upon TIANDITU map and cesium engine API, spatial similarity and bus location search as well as administrative division search are also implemented and the search results are overlaid on top of a Digital Earth System.