Land cover and latitude affect vegetation phenology determined from solar induced fluorescence across Ontario, Canada.
Cheryl A. RogersJing M. ChenPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- land cover
- remote sensing
- multispectral
- change detection
- remote sensing images
- remote sensing data
- image analysis
- satellite images
- remotely sensed images
- geographic information systems
- remotely sensed
- supervised classification
- remotely sensed data
- satellite data
- united states
- land cover change
- land cover classification
- landsat tm
- satellite imagery
- environmental variables
- climate change
- urban areas
- object oriented
- urban growth
- pattern recognition
- earth science
- image data
- computer vision
- database management
- moving objects
- query processing
- supervised learning
- image classification