Hyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a possible contribution for updating forest management plans.
Daniele MicheliniMichele DalponteAngelo CarrieroErico KutchartSalvatore Eugenio PappalardoMassimo De MarchiFrancesco PirottiPublished in: CoRR (2022)
Keyphrases
- hyperspectral
- hyperspectral imagery
- lidar data
- machine learning
- remote sensing
- hyperspectral images
- hyperspectral data
- multispectral
- high resolution
- infrared
- target detection
- image data
- spatial resolution
- change detection
- remote sensing images
- information content
- multi band
- urban environments
- urban areas
- point cloud
- pattern recognition
- feature selection
- computer vision
- data analysis
- watershed segmentation