【摘要】 谷歌地球引擎(Google Earth Engine,GEE)是一个面向全球尺度的地理空间分析平台,充分集成了Google Earth海量的地理和遥感数据资源以及Google的强大云端计算能力,为地球系统科学、特别是其重要组成部分的土地覆被遥感信息提取研究提供了一种有效便捷的方式。围绕GEE和土地覆被遥感信息提取相关的关键词,查阅了Web of Science和知网在2011—2019年间国内外发表的所有相关论文,在统计文献发表时间、研究领域、研究区、所属机构和发表期刊等信息的基础上,系统梳理了GEE在土地覆被领域的研究应用趋势,重点就大区域制图和多时相变化监测两方面,详细阐述了GEE的应用发展潜力,为进一步认识和使用GEE提供了科学参考。更多还原

【Abstract】 Google Earth Engine is a cloud-based,global-scale geospatial analysis platform that makes full use of Google Earth’s rich data resources and cloud computing power to store and process petabyte-level data,being an effective and convenient tool for remote sensing research. Based on the introduction of Google Earth Engine system architecture,the authors firstly sorted out the research fields of Google Earth Engine. 291 related articles on CNKI and Web of Science published from 2011 to 2019 were analyzed,and some results were concluded such as publication time,research field,research area,the first author’s institution and journal of the article. Then the authors analyzed Google Earth Engine’s application and research trends of land use and land cover. The authors found that Google Earth Engine is widely used in the field of land cover remote sensing information extraction and has advantages in global or large-scale study. Based on the advantages of Google Earth Engine in remote sensing information extraction,the authors divided the study fields into agricultural remote sensing mapping,vegetation extent mapping and dynamic monitoring,building extraction,hydrological information extraction and land cover classification mapping. The research and application progress of Google Earth Engine was elaborated from two aspects: large-area mapping and multi-temporal dynamic monitoring. Finally,the authors discussed the Google Earth Engine’s problems and the development potential in land use and land cover. This paper is intended to serve as a basis for further understanding the advantages,application status,trends and potential of Google Earth Engine as well as for further understanding and using Google Earth Engine in the future.更多还原