Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick; M. Hancher; Mike Dixon; Simon Ilyushchenko; David Thau; Rebecca Moore · Remote Sensing of Environment · 2017

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Noel Gorelick; M. Hancher; Mike Dixon; Simon Ilyushchenko; David Thau; Rebecca Moore

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Remote Sensing of Environment

Anno

2017

Lingua

Inglés

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Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, drought, disaster, disease, food security, water management, climate monitoring and environmental protection. It is unique in the field as an integrated platform designed to empower not only traditional remote sensing scientists, but also a much wider audience that lacks the technical capacity needed to utilize traditional supercomputers or large-scale commodity cloud computing resources.

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APA 7

Gorelick, N, Hancher, M, Dixon, M, Ilyushchenko, S, Thau, D, & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. https://doi.org/10.1016/j.rse.2017.06.031

MLA

Gorelick, Noel, et al. "Google Earth Engine: Planetary-scale geospatial analysis for everyone." 2017. https://doi.org/10.1016/j.rse.2017.06.031.

Chicago

Gorelick, Noel, M. Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore. 2017. "Google Earth Engine: Planetary-scale geospatial analysis for everyone.". https://doi.org/10.1016/j.rse.2017.06.031.

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Gorelick, N. et al. 2017, Google Earth Engine: Planetary-scale geospatial analysis for everyone, Remote Sensing of Environment, available at: https://doi.org/10.1016/j.rse.2017.06.031 [Accessed 8 Aug. 2026].

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Titolo: Google Earth Engine: Planetary-scale geospatial analysis for everyone

Autore / collaboratori: Noel Gorelick; M. Hancher; Mike Dixon; Simon Ilyushchenko; David Thau; Rebecca Moore

Editore: Remote Sensing of Environment

Anno di pubblicazione: 2017

Lingua: Inglés

Soggetti

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Geospatial analysis; Cloud computing; Scale (ratio); Remote sensing; Earth observation; Variety (cybernetics); Deforestation (computer science); Computer science; Field (mathematics); Data science; Earth science; Geography