Publicação
A primer on understanding Google Earth Engine APIs
| 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 |
| _version_ | 1868798937811386368 |
|---|---|
| author | Reis, Rui |
| author2 | Datia, Nuno Pato, Matilde |
| author2_role | author author |
| author_facet | Reis, Rui Datia, Nuno Pato, Matilde |
| author_role | author |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Reis, Rui\"},{\"Person.name\":\"Datia, Nuno\"},{\"Person.name\":\"Pato, Matilde\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Reis, Rui Datia, Nuno Pato, Matilde |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Informatics; Google Earth Engine; Javascript; Python |
| datacite.titles.title.fl_str_mv | A primer on understanding Google Earth Engine APIs |
| dc.creator.none.fl_str_mv | Reis, Rui Datia, Nuno Pato, Matilde |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://doi.org/10.34629/ipl.isel.i-ETC.81 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | ISEL - High Institute of Engineering of Lisbon |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.source.none.fl_str_mv | i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 6, No 1 (2020): Volume 6; ID-4 i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 6, No 1 (2020): Volume 6; ID-4 2182-4010 |
| dc.subject.none.fl_str_mv | Informatics; Google Earth Engine; Javascript; Python |
| dc.title.fl_str_mv | A primer on understanding Google Earth Engine APIs |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_1843 |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | unknown |
| format | article |
| id | ietc_4f5b7226d024877c1e24a2ac1f229047 |
| identifier.doi.fl_str_mv | https://doi.org/10.34629/ipl.isel.i-ETC.81 |
| instacron_str | isel |
| institution | Instituto Superior de Engenharia de Lisboa |
| instname_str | Instituto Superior de Engenharia de Lisboa |
| language | eng |
| network_acronym_str | ietc |
| network_name_str | i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers |
| oai_identifier_str | oai:i-ETC.journals.isel.pt:article/81 |
| organization_str_mv | urn:organizationAcronym:isel |
| person_str_mv | Reis, Rui Datia, Nuno Pato, Matilde |
| publishDate | 2020 |
| publisher.none.fl_str_mv | ISEL - High Institute of Engineering of Lisbon |
| reponame_str | i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers |
| repository_id_str | urn:repositoryAcronym:ietc |
| service_str_mv | urn:repositoryAcronym:ietc |
| spelling | en-USA primer on understanding Google Earth Engine APIsReis, RuiDatia, NunoPato, MatildeInformatics;Google Earth Engine; Javascript; PythonCopyright (c) 2020 Rui Reis, Nuno Datia, Matilde Patohttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc/4.0https://doi.org/10.34629/ipl.isel.i-ETC.81DOIoai:i-ETC.journals.isel.pt:article/81OAIhttp://journals.isel.pt/index.php/i-ETC/article/view/81URLhttps://doi.org/10.34629/ipl.isel.i-ETC.81DOIhttp://journals.isel.pt/index.php/i-ETC/article/view/81/68URLHasVersion2020-10-19T00:00:00Zen-USThis 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.ISEL - High Institute of Engineering of Lisbonapplication/pdfen-USi-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 6, No 1 (2020): Volume 6; ID-4pt-PTi-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 6, No 1 (2020): Volume 6; ID-42182-4010engjournal articlehttp://purl.org/coar/resource_type/c_6501literatureVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_1843 other research product |
| spellingShingle | A primer on understanding Google Earth Engine APIs Reis, Rui Informatics; Google Earth Engine; Javascript; Python |
| status | SINGLETON |
| status_str | VoR |
| subject.fl_str_mv | Informatics; Google Earth Engine; Javascript; Python |
| title | A primer on understanding Google Earth Engine APIs |
| title_full | A primer on understanding Google Earth Engine APIs |
| title_fullStr | A primer on understanding Google Earth Engine APIs |
| title_full_unstemmed | A primer on understanding Google Earth Engine APIs |
| title_short | A primer on understanding Google Earth Engine APIs |
| title_sort | A primer on understanding Google Earth Engine APIs |
| topic | Informatics; Google Earth Engine; Javascript; Python |
| topic_facet | Informatics; Google Earth Engine; Javascript; Python |
| url | https://doi.org/10.34629/ipl.isel.i-ETC.81 |
| visible | 1 |
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