A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea.
Siwoo LeeCheolhee YooJungho ImDongjin ChoYeonsu LeeDukwon BaePublished in: Int. J. Appl. Earth Obs. Geoinformation (2023)
Keyphrases
- land cover
- machine learning
- dynamic environments
- urban growth
- changing environment
- multispectral
- remote sensing
- supervised classification
- urban areas
- remote sensing images
- change detection
- pattern recognition
- satellite images
- remotely sensed images
- climate change
- decision trees
- data sets
- geographic information systems
- computer vision
- data analysis
- remote sensing imagery
- remote sensing data
- infrared
- environmental conditions
- data mining
- model selection
- text classification
- data management
- relational databases
- databases