A primer on understanding Google Earth Engine APIs
This article is build on the experience of using Google Earth Engine as a development framework for a previous work by the same authors.Being primarily a distributed parallel computing platform, it is designed around a functional language pattern, even though supported on an object model, and a map...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2020
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| Online Access: | https://doi.org/10.34629/ipl.isel.i-ETC.81 |
| Country: | Portugal |
| Oai: | oai:i-ETC.journals.isel.pt:article/81 |
| Summary: | This article is build on the experience of using Google Earth Engine as a development framework for a previous work by the same authors.Being primarily a distributed parallel computing platform, it is designed around a functional language pattern, even though supported on an object model, and a map / reduce distributed workload paradigm.Leveraging the sheer computing power delivered by the Google infrastructure and a multi petabyte remote sensing data repository, GoogleEarth Engine is an efficient development framework that presents itself in two basic flavors: one online integrated development environment which uses the browser Javascript engine; two APIs that can be deployed to a Python or a NodeJS environment.This work emphasizes the comparison between the Javascript browserbased implementation and the Python environment packages. |
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