云计算
遥感
利用
计算机科学
RSS
气候变化
数据科学
万维网
地理
计算机安全
地质学
海洋学
操作系统
作者
Le Wang,Chunyuan Diao,George Xian,Dameng Yin,Yawei Lu,Shengyuan Zou,Tyler Erickson
标识
DOI:10.1016/j.rse.2020.112002
摘要
Abstract To embrace the burgeoning land change science studies that exploit public-domain cloud-computing platforms such as Google Earth Engine (GEE), for the first time, we organized a special issue entitled “Remote Sensing of Land Change Science with Google Earth Engine” in the journal “Remote Sensing of Environment”. This paper serves as a summary to a collection of 19 papers that have been published since the inception of the special issue in November 2017. In particular, we summarized their contributions with regard to two perspectives: what new themes of questions are articulated, what contributions have been made. Taking account of the disciplinary difference, we carried out the summary separately in two major science domains: Remote Sensing of Environment (RSE), i.e., naturally-induced land change, and Remote Sensing of Society (RSS), i.e., human-induced land change. Furthermore, we presented a historical review of the developments of GEE-relevant studies published before our special issue. Finally, we provided a future prospect on how GEE will continue to evolve to further the study of land change science.
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