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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
  • University of Illinois at Urbana-Champaign
  • United States Geological Survey
  • SUNY Buffalo
  • Alphabet Inc.

Research output: Contribution to journalEditorial

131 Scopus citations

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.

Original languageEnglish
Article number112002
JournalRemote Sensing of Environment
Volume248
DOIs
StatePublished - Oct 2020

Keywords

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

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