面向GEE平台的遥感影像分析与应用研究进展  

Research Progress of Remote Sensing Image Analysis and Application Oriented to GEE Platform

作　　者：黄仲良 何敬[1] 刘刚[1,2] 李政 HUANG Zhongliang;HE Jing;LIU Gang;LI Zheng(College of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China;State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection(Chengdu University of Technology),Chengdu 610059,China;Sichuan Institute of Territorial and Spatial Planning,Chengdu 610081,China)

机构地区：[1]成都理工大学地球科学学院,四川成都610059 [2]成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川成都610059 [3]四川省国土空间规划研究院,四川成都610081

出　　处：《遥感技术与应用》2023年第3期527-534,共8页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(41871303、41602355);地质灾害防治与地质环境保护国家重点实验室项目(SKLGP2018Z010);四川省科技计划项目(2021YFG0365)。

摘　　要：Google Earth Engine(GEE)是集遥感影像存储与分析于一体的综合应用平台,能够方便快捷地调用遥感影像与信息提取,因此GEE受到越来越多科研工作者的关注。随着GEE不断扩充和升级,系统平台也愈发复杂。对于一般用户来说,要想快速了解其体系结构和功能算法变的越来越困难。针对这一问题,系统介绍了GEE的技术架构、数据资源、模型算法及计算资源,对GEE在各大领域的应用成果进行总结归纳,以期能为GEE的使用者提供一个快速了解该平台的窗口,帮助其更好地利用GEE平台开展自己的应用研究。Google Earth Engine(GEE)is a comprehensive application platform that integrates remote sensing image storage and analysis.It can conveniently and quickly call remote sensing images and information extrac⁃tion.Therefore,GEE has attracted more and more scientific researchers'attention.With the continuous expan⁃sion and upgrade of GEE,the system platform has become more and more complex.For ordinary users,it is be⁃coming more and more difficult to quickly understand its architecture and functional algorithms.In response to this problem,this article systematically introduces the technical architecture,data resources,model algorithms and computing resources of GEE,and summarizes the application results of GEE in various fields,hoping to provide GEE users with a quick understanding of the platform Window to help them make better use of the GEE platform to carry out their own application research.

关 键 词：Google Earth Engine(GEE) 遥感影像分析 大数据 云计算 

分 类 号：P237[天文地球—摄影测量与遥感]