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

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 13; pp. 5326 - 5350
• Main Authors: Amani, Meisam, Ghorbanian, Arsalan, Ahmadi, Seyed Ali, Kakooei, Mohammad, Moghimi, Armin, Mirmazloumi, S. Mohammad, Moghaddam, Sayyed Hamed Alizadeh, Mahdavi, Sahel, Ghahremanloo, Masoud, Parsian, Saeid, Wu, Qiusheng, Brisco, Brian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial satellites; Big Data; Classification; Cloud computing; Data; Data analysis; Data processing; Datasets; Earth; Engines; Environmental monitoring; Google; Google Earth Engine (GEE); Hydrology; Image classification; Image processing; Land cover; Land use; Land use classification; Land use management; Landsat; Landsat satellites; Learning algorithms; Machine learning; Natural disasters; Remote sensing; remote sensing (RS); Satellite observation; Urban planning

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...