Urban vegetation mapping by airborne hyperspetral imagery; feasibility and limitations.
Walid OuerghemmiSébastien GadalGintautas MozgerisDonatas JonikaviciusPublished in: WHISPERS (2018)
Keyphrases
- urban areas
- lidar data
- remotely sensed
- satellite imagery
- change detection
- remote sensing
- aerial imagery
- satellite images
- land cover
- infrared
- multispectral
- remote sensing images
- hyperspectral
- urban environments
- remotely sensed images
- remote sensing data
- land use change
- aerial images
- sar imagery
- high resolution
- digital elevation models
- computer vision
- remotely sensed data
- climate change
- man made
- urban planning
- geospatial data
- travel time
- geographic information systems
- urban growth
- landsat tm
- traffic congestion
- ontology mapping
- hyperspectral images
- image classification
- image data
- image processing
- sea ice
- data mining