Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species.
Sabelo MadonselaMoses Azong ChoRenaud MathieuOnisimo MutangaAbel RamoeloZaneta KasztaRuben Van De KerchoveEléonore WolffPublished in: Int. J. Appl. Earth Obs. Geoinformation (2017)
Keyphrases
- remote sensing
- remote sensing data
- high spatial resolution
- satellite imagery
- land cover
- high resolution
- multispectral
- change detection
- remote sensing images
- remotely sensed
- remote sensing imagery
- image processing
- satellite images
- landsat tm
- remotely sensed imagery
- hyperspectral
- phylogenetic trees
- image fusion
- remotely sensed data
- remotely sensed images
- land cover classification
- tree structure
- image analysis
- hyperspectral images
- satellite data
- neural network
- digital image analysis
- hyperspectral data
- spatial resolution
- environmental sciences
- automatic image registration
- earth observation
- multi spectral images
- hyperspectral remote sensing
- remote sensed images
- gene trees
- b tree
- image data
- hyperspectral imagery
- earth science
- hyperspectral imaging
- geographical information systems
- multispectral images
- image registration
- high quality
- machine learning