Hybrid Model for Forecasting of Changes in Land Use and Land Cover Using Satellite Techniques.
Adriana Mercedes MarquezEdilberto GuevaraDemetrio ReyPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2019)
Keyphrases
- land cover
- hybrid model
- forecasting accuracy
- remote sensing
- remotely sensed data
- satellite data
- support vector regression
- remotely sensed
- arima model
- landsat tm
- remote sensing images
- multispectral
- change detection
- land cover classification
- satellite images
- remote sensing data
- remote sensing imagery
- remotely sensed images
- artificial neural networks
- urban growth
- hybrid models
- geographic information systems
- environmental variables
- high resolution
- image processing
- image analysis
- support vector machine svm
- hyperspectral
- short term
- supervised classification
- high spatial resolution
- climate change
- regression model
- support vector machine
- forecasting model
- long term
- pattern recognition
- image data
- data sets
- high quality
- computer vision