volume 202 pages 18-27

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick 1
Matt Hancher 2
Mike Dixon 2
Simon Ilyushchenko 2
David Thau 2
Rebecca Moore 2
1
 
Google Switzerland, Brandschenkestrasse 110, Zurich 8002, Switzerland.
2
 
Google Inc., 1600 Amphitheater Parkway, Mountain View, CA 94043, USA
Publication typeJournal Article
Publication date2017-12-01
scimago Q1
wos Q1
SJR3.972
CiteScore22.6
Impact factor11.4
ISSN00344257, 18790704
Soil Science
Geology
Computers in Earth Sciences
Abstract
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.
Found 
Found 

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GOST |
Cite this
GOST Copy
Gorelick N. et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone // Remote Sensing of Environment. 2017. Vol. 202. pp. 18-27.
GOST all authors (up to 50) Copy
Gorelick N., Hancher M., Dixon M., Ilyushchenko S., Thau D., Moore R. Google Earth Engine: Planetary-scale geospatial analysis for everyone // Remote Sensing of Environment. 2017. Vol. 202. pp. 18-27.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.rse.2017.06.031
UR - https://doi.org/10.1016/j.rse.2017.06.031
TI - Google Earth Engine: Planetary-scale geospatial analysis for everyone
T2 - Remote Sensing of Environment
AU - Gorelick, Noel
AU - Hancher, Matt
AU - Dixon, Mike
AU - Ilyushchenko, Simon
AU - Thau, David
AU - Moore, Rebecca
PY - 2017
DA - 2017/12/01
PB - Elsevier
SP - 18-27
VL - 202
SN - 0034-4257
SN - 1879-0704
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2017_Gorelick,
author = {Noel Gorelick and Matt Hancher and Mike Dixon and Simon Ilyushchenko and David Thau and Rebecca Moore},
title = {Google Earth Engine: Planetary-scale geospatial analysis for everyone},
journal = {Remote Sensing of Environment},
year = {2017},
volume = {202},
publisher = {Elsevier},
month = {dec},
url = {https://doi.org/10.1016/j.rse.2017.06.031},
pages = {18--27},
doi = {10.1016/j.rse.2017.06.031}
}