Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California.
Benyamain YacoobEthan ScheysEyiara OladipoAndre PriceShadi BanitaanPublished in: EIT (2024)
Keyphrases
- land cover
- google earth
- satellite images
- machine learning
- remote sensing
- multispectral
- change detection
- land cover classification
- remote sensing images
- supervised classification
- remote sensing data
- satellite imagery
- optical images
- high resolution
- geographic information systems
- learning algorithm
- urban areas
- hyperspectral
- urban growth
- data mining
- information extraction
- geographic information
- image analysis
- supervised learning
- computer vision
- image processing
- google maps
- unsupervised learning
- model selection
- text classification
- multi dimensional
- active learning
- database