Assessment of annual composite images obtained by google earth engine for urban areas mapping using random forest

HIGHLIGHTS

  • who: Zhaoming Zhang et al. from the School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China have published the research work: Assessment of Annual Composite Images Obtained by Google Earth Engine for Urban Areas Mapping Using Random Forest, in the Journal: (JOURNAL) of 28/Dec/2020
  • what: The aim of this research was to determine how annual time series images from 8 Operational Land Imager (OLI) can effectively be composed to map urban areas in three cities in China in support of GEE. The aim of the research was . . .

     

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