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, Google Earth 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 browser based implementation and the Python environment packages.

i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers, Vol 6, No 1 (2020): Volume 6