Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine Learning Models.
J. Michelle HuDavid SheanPublished in: Remote. Sens. (2022)
Keyphrases
- random forest
- satellite images
- land cover
- change detection
- machine learning models
- remote sensing
- remote sensing images
- multispectral
- satellite imagery
- decision trees
- machine learning algorithms
- spam filtering
- landsat tm
- remotely sensed
- urban areas
- ensemble methods
- data streams
- hyperspectral
- machine learning
- feature set
- high resolution
- digital elevation models
- image analysis
- image processing
- image registration
- neural network
- multi label
- training data
- high quality
- computer vision
- aerial images
- image data