Google Earth Engine Applications, published as Open Access by MPDI’s Remote Sensing journal, is available for free download.
The Google Earth Engine (GEE) is a cloud computing platform designed to store and process huge data sets (at petabyte-scale) for analysis and ultimate decision making .
Following the free availability of Landsat series in 2008, Google archived all the data sets and linked them to the cloud computing engine for open source use. The current archive of data includes those from other satellites, as well as Geographic Information Systems (GIS) based vector data sets, social, demographic, weather, digital elevation models, and climate data layers.
The purpose of this special issue was to solicit papers that take advantage of the Google Engine cloud computing geospatial tools to process large data sets for global applications. Special priority was given to papers from developing nations on how the availability of GEE data and processing has enabled new research that was difficult or impossible before.
This book is a printed edition of the Special Issue Google Earth Engine Applications that was published in Remote Sensing.
The authors are Lalit Kumar and Onisimo Mutanga (Eds.), 420 pages long, published in April 2019.
Download PDF: Google Earth Engine Applications
Open Access
ISBN 978-3-03897-884-8 (Pbk); ISBN 978-3-03897-885-5 (PDF)
https://doi.org/10.3390/books978-3-03897-885-5
© 2019 by the authors; CC BY-NC-ND licence
Thanks. Your blog is very much usefull for the people who like to in touch with GIS & remote sensing. I like to read your articles. thanks again.
When it comes to remote sensing, why is ArcGIS more used in learning environments?