A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

Academic Article

Authors

  • Teluguntla, Pardhasaradhi
  • Thenkabail, Prasad S
  • Oliphant, Adam
  • Xiong, Jun
  • Gumma, Murali Krishna
  • Congalton, Russell
  • Yadav, Kamini
  • Huete, Alfredo

    • Status

    Publication Date

  • October 2018

    • Has Subject Area

    Published In

    Keywords

  • Australia
  • China
  • Cropland mapping
  • Google Earth Engine
  • Landsat
  • Machine learning algorithm
  • Random forest

    • Digital Object Identifier (doi)

    Start Page

  • 325

    • End Page

  • 340

    • Volume

  • 144