Representing major soil variability at regional scale by constrained Latin Hypercube Sampling of remote sensing data.
V. L. MulderSytze de BruinMichael E. SchaepmanPublished in: Int. J. Appl. Earth Obs. Geoinformation (2013)
Keyphrases
- remote sensing data
- latin hypercube sampling
- remote sensing
- multispectral
- remote sensing images
- earth observation
- land cover
- hyperspectral
- land cover classification
- remotely sensed data
- image analysis
- change detection
- hyperspectral images
- high resolution
- learning algorithm
- databases
- spatial information
- pattern recognition
- image segmentation