Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms.
Seyed Vahid Razavi TermehAbolghasem Sadeghi-NiarakiSoo-Mi ChoiPublished in: Remote. Sens. (2021)
Keyphrases
- machine learning algorithms
- remote sensing
- remote sensing data
- random forests
- learning algorithm
- benchmark data sets
- machine learning
- change detection
- multispectral
- decision trees
- machine learning methods
- remote sensing images
- remote sensing imagery
- high resolution
- spatial analysis
- remotely sensed data
- image fusion
- image processing
- satellite images
- hyperspectral
- geographical information systems
- satellite imagery
- image analysis
- weather prediction
- spatial data
- high spatial resolution
- land cover
- ensemble methods
- spatial information
- automatic image registration
- hyperspectral remote sensing
- machine learning approaches
- standard machine learning algorithms
- machine learning models
- satellite data
- digital image analysis
- data sets
- spatial relationships
- hyperspectral imagery
- training set
- pattern recognition
- neural network
- data mining
- training data
- multi spectral images
- multispectral images
- active learning
- image data
- urban areas