Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
University of New Mexico · University of Tennessee at Knoxville
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
- FWCI
- 24.29
- Percentile
- 100%
- References
- 270
Authors
6Topics & keywords
- Geospatial analysis
- Computer science
- Cloud computing
- Operationalization
- Gee
- Data science
- Earth observation
- Scalability
- Climate action