基于Google Earth Engine和pydeck的遥感云数据三维可视化研究

Remote Sensing Cloud Data 3D Visualization Research Based on Google Earth Engine and pydeck

采用云计算技术,整合各种遥感信息和技术资源的遥感云服务正以前所未有的速度发展。本文基于谷歌地球引擎Google Earth Engine提供的海量遥感云存储数据,研究通过Google Earth Engine的Python API以及空间可视化库pydeck、第三方earthengine-layers库提供的图层拓展能力,完成从遥感数据筛选、实时数据云计算到三维场景展示、网页端页面自动导出的全流程实践,旨在快速高效地实现遥感云数据三维可视化方案。

Based on cloud computing technology,the integration of all kinds of remote sensing information and technology resources of remote sensing cloud services is developing at an unprecedented rate,based on the Google Earth Engine,massive remote sensing cloud storage data provided by Google Earth Engine,this paper uses the Google Earth Engine Python API and spatial visualization library pydeck,third-party earthengine-layers library which provides layer expansion capability to complete the whole process practice from remote sensing data screening,real-time data cloud computing,3D scene display,webpage side page automatic export,it aims to accomplish fast and efficient implementation of remote sensing cloud data 3D visualization.