Google Earth Engine: Planetary-scale geospatial analysis for everyone

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 monitor...

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Vydáno v:Remote sensing of environment Ročník 202; s. 18 - 27
Hlavní autoři: Gorelick, Noel, Hancher, Matt, Dixon, Mike, Ilyushchenko, Simon, Thau, David, Moore, Rebecca
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Inc 01.12.2017
Elsevier BV
Témata:
Analysis
Big data
climate
Climate monitoring
Cloud computing
Computer applications
computers
Cybersecurity
Data democratization
Deforestation
Disease control
Drought
Earth Engine
Environmental management
Environmental monitoring
Environmental protection
Food security
Geographic information systems
Internet
monitoring
Platform
Remote sensing
scientists
Spatial analysis
Spatial data
Studies
Supercomputers
Water management
Cloud computing
Big data
Platform
Data democratization
Analysis
Earth Engine
ISSN:0034-4257, 1879-0704
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Popis
Shrnutí: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. •Large-scale computing is ubiquitously available but requires expertise to use.•Earth Engine is a platform designed to make planetary-scale RS analysis easy.•A large catalog co-located with massive CPU allows for interactive data exploration.•Its speed and ease of use are accelerating scientific discovery.•Some processes, like recursion, are currently ill-suited for this architecture.
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ISSN:0034-4257
1879-0704
DOI:10.1016/j.rse.2017.06.031