Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

@article{Amani2020GoogleEE,
  title={Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review},
  author={Meisam Amani and Arsalan Ghorbanian and Seyed Ali Ahmadi and Mohammad Kakooei and Armin Moghimi and S. Mohammad Mirmazloumi and Sayyed Hamed Alizadeh Moghaddam and Sahel Mahdavi and Masoud Ghahremanloo and Saeid Parsian and Qiusheng Wu and Brian Brisco},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2020},
  volume={13},
  pages={5326-5350}
}
  • M. Amani, A. Ghorbanian, B. Brisco
  • Published 1 September 2020
  • Computer Science, Environmental Science
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing of which are not practical using common software packages and desktop computing resources. In this regard, Google has developed a cloud computing platform, called Google Earth Engine (GEE), to effectively address the challenges of big data analysis. In particular, this platform facilitates processing big geo data over large areas and monitoring the environment for long periods of… 
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