A summary of the special issue on remote sensing of land change science with Google earth engine

Le Wang, Chunyuan Diao, George Xian, Dameng Yin, Ying Lu, Shengyuan Zou, Tyler A. Erickson

Research output: Contribution to journalEditorialpeer-review


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.

Original languageEnglish (US)
Article number112002
JournalRemote Sensing of Environment
StatePublished - Oct 2020


  • Google earth engine
  • Land change science
  • Remote sensing
  • Special issue

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences


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