reviewRemote SensingJul 6, 2022GOLD OA

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review

University of New Mexico · University of Tennessee at Knoxville

Indexed incrossrefdoaj

Abstract

Remote sensing (RS) plays an important role gathering data in many critical domains (e.g., global climate change, risk assessment and vulnerability reduction of natural hazards, resilience of ecosystems, and urban planning). Retrieving, managing, and analyzing large amounts of RS imagery poses substantial challenges. Google Earth Engine (GEE) provides a scalable, cloud-based, geospatial retrieval and processing platform. GEE also provides access to the vast majority of freely available, public, multi-temporal RS data and offers free cloud-based computational power for geospatial data analysis. Artificial intelligence (AI) methods are a critical enabling technology to automating the interpretation of RS…

Citation impact

238
total citations
FWCI
24.29
Percentile
100%
References
270
Citations per year

Authors

6

Topics & keywords

Keywords
  • Geospatial analysis
  • Computer science
  • Cloud computing
  • Operationalization
  • Gee
  • Data science
  • Earth observation
  • Scalability
UN Sustainable Development Goals
  • Climate action
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