Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery.
Mariano GarcíaSassan SaatchiSusan L. UstinHeiko BalzterPublished in: Int. J. Appl. Earth Obs. Geoinformation (2018)
Keyphrases
- multispectral
- remotely sensed
- remote sensing
- digital elevation models
- satellite images
- lidar data
- high resolution
- hyperspectral
- remote sensing images
- hyperspectral imagery
- remotely sensed data
- satellite imagery
- remote sensing data
- remotely sensed images
- urban areas
- land cover
- multispectral images
- multi band
- image data
- image analysis
- hyperspectral images
- spatial resolution
- change detection
- aerial imagery
- high spatial resolution
- spectral data
- land cover classification
- hyperspectral data
- point cloud
- spectral images
- spectral bands
- satellite data
- spectral characteristics
- multispectral satellite images
- image fusion
- remote sensing imagery
- visible spectrum
- spectral features
- single image
- machine learning
- neural network