Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping.
Mukti R. SubediCarlos Portillo-QuinteroNancy E. McIntyreSamantha S. KahlRobert D. CoxGad PerryXiao-Peng SongPublished in: Remote. Sens. (2024)
Keyphrases
- land cover
- remote sensing
- high resolution
- remote sensing data
- satellite images
- machine learning
- satellite imagery
- image fusion
- multispectral
- remote sensing images
- change detection
- land cover classification
- remotely sensed
- remote sensing imagery
- landsat tm
- remotely sensed images
- supervised classification
- high spatial resolution
- satellite data
- remotely sensed data
- land cover change
- learning algorithm
- hyperspectral
- environmental variables
- urban growth
- image processing
- spatial resolution
- geographic information systems
- climate change
- data mining
- high quality
- digital elevation models
- decision trees
- feature selection
- hyperspectral images
- multispectral images
- neural network
- pattern recognition
- training data
- supervised learning
- text classification
- urban areas