Estimating vegetation height and canopy cover from remotely sensed data with machine learning.
Daniela StojanovaPance PanovValentin GjorgjioskiAndrej KoblerSaso DzeroskiPublished in: Ecol. Informatics (2010)
Keyphrases
- remotely sensed data
- machine learning
- land cover
- remote sensing
- remote sensing data
- image classification
- remotely sensed
- change detection
- remotely sensed images
- multispectral
- supervised classification
- digital elevation models
- remote sensing images
- pattern recognition
- satellite images
- geospatial data
- geographic information systems
- learning algorithm
- data mining
- supervised learning
- high resolution
- multi band
- data analysis
- earth science
- hyperspectral data
- image processing
- infrared
- active learning
- object recognition
- feature extraction
- feature selection