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A primer on understanding Google Earth Engine APIs

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Resumo: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.
Autores principais:Reis, Rui
Outros Autores:Datia, Nuno; Pato, Matilde
Assunto:Informatics; Google Earth Engine; Javascript; Python
Ano:2020
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Instituto Superior de Engenharia de Lisboa
Idioma:inglês
Origem:i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers

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