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Google Earth Engine云平台对遥感发展的改变

Translated title of the contribution: Benefits of Google Earth Engine in remote sensing
  • Xiaona Wang
  • , Jinyan Tian
  • , Xiaojuan Li
  • , Le Wang
  • , Huili Gong
  • , Beibei Chen
  • , Xiangcai Li
  • , Jinghan Guo
  • Capital Normal University

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

The rapid development of remote sensing technology has enabled accumulation of massive earth observation data in recent years. Traditional desktop-based remote sensing platforms (e.g., ERDAS and ENVI) cannot satisfy the current application requirements of remote sensing big data. Google Earth Engine (GEE), as a leading cloud-based remote sensing platform, has not only changed the traditional processing and analysis means of data but also brought new opportunities for the rapid processing and information mining of massive data. To date, many researchers have successfully conducted a large number of works and published many academic papers and reviews based on GEE. However, no one has systematically analyzed how GEE promotes the development of remote sensing science. Therefore, this study aims to explore the innovative changes caused by GEE in the aspect of resources, methods, and applications, compared with the traditional desktop-based platform. (1) In terms of resources, GEE breaks the separation of traditional data, model algorithms, and computing power, realizes cloud deployment of the three, and shows great potential in the rapid processing and analysis of massive data through combining big data and cloud computing together. (2) With regard of methods, innovative remote sensing analysis methods provided by GEE break through the bottleneck of traditional remote sensing technology and promote the technological innovation of data processing and analysis. Thus, the efficiency of massive data processing and information mining greatly improves. (3) In the perspective of applications, GEE not only brings development opportunities for the rapid global-scale long-time analysis but also promotes the rapid sharing of data, algorithms, and products, which further ushers in the era of opening and sharing remote sensing. Systematically summarizing the advantages of GEE will not only help the potential new users understand GEE as well as deepen the existing users' understanding but also encourage Google developers to perfect and improve GEE while catalyzing new discoveries in the scientific research of the earth system.

Translated title of the contributionBenefits of Google Earth Engine in remote sensing
Original languageChinese (Traditional)
Pages (from-to)299-309
Number of pages11
JournalNational Remote Sensing Bulletin
Volume26
Issue number2
DOIs
StatePublished - Feb 25 2022

Keywords

  • Cloud-based remote sensing platform
  • Desktop-based remote sensing platform
  • Google Earth Engine
  • Pixel-based analysis method
  • Remote sensing big data

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