Open educational resources for validation of global high-resolution land cover maps.
Candan E. KilsedarGorica BraticMonia Elisa MolinariMarco MinghiniMaria A. BrovelliPublished in: PeerJ Prepr. (2019)
Keyphrases
- land cover
- remote sensing
- high resolution
- open educational resources
- satellite images
- multispectral
- change detection
- remote sensing images
- remotely sensed images
- remote sensing data
- environmental variables
- geographic information systems
- supervised classification
- land cover classification
- remotely sensed data
- image processing
- urban areas
- educational resources
- spatial data
- high spatial resolution
- pattern recognition
- high quality
- hyperspectral
- higher education
- computer vision