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Editorial

Google Earth Engine Applications

1
School of Agricultural, Earth and Environmental Sciences, University of KwaZulu Natal, P. Bag X01 Scottsville, Pietermaritzburg 3209, South Africa
2
Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(5), 591; https://doi.org/10.3390/rs11050591
Received: 8 March 2019 / Revised: 11 March 2019 / Accepted: 11 March 2019 / Published: 12 March 2019
(This article belongs to the Collection Google Earth Engine Applications)
Note: In lieu of an abstract, this is an excerpt from the first page.

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 [...] View Full-Text
Keywords: cloud computing; big data analytics; long term monitoring; data archival; early warning systems cloud computing; big data analytics; long term monitoring; data archival; early warning systems
MDPI and ACS Style

Mutanga, O.; Kumar, L. Google Earth Engine Applications. Remote Sens. 2019, 11, 591. https://doi.org/10.3390/rs11050591

AMA Style

Mutanga O, Kumar L. Google Earth Engine Applications. Remote Sensing. 2019; 11(5):591. https://doi.org/10.3390/rs11050591

Chicago/Turabian Style

Mutanga, Onisimo, and Lalit Kumar. 2019. "Google Earth Engine Applications" Remote Sensing 11, no. 5: 591. https://doi.org/10.3390/rs11050591

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