Utilizing Spatio-temporal Satellite Images and Machine Learning to Examine the Impacts of Changing Land Use and Land Cover on Sohar City.
Muhammad ShafiPublished in: ACIT (2023)
Keyphrases
- land cover
- satellite images
- spatio temporal
- machine learning
- urban areas
- remote sensing
- change detection
- multispectral
- land cover classification
- remote sensing images
- satellite imagery
- high resolution
- supervised classification
- remote sensing imagery
- remote sensing data
- remotely sensed images
- high resolution satellite images
- satellite data
- remotely sensed
- urban growth
- image sequences
- learning algorithm
- urban planning
- environmental variables
- pattern recognition
- landsat tm
- digital elevation models
- land cover change
- climate change
- supervised learning
- moving objects
- high spatial resolution
- feature selection
- data mining
- active learning
- data sets
- image data
- image analysis