Monitoring Hydrological Patterns of Temporary Lakes Using Remote Sensing and Machine Learning Models: Case Study of La Mancha Húmeda Biosphere Reserve in Central Spain.
Carolina DoñaNi-Bin ChangVicente CasellesJuan Manuel SánchezLluís Pérez-PlanellsMaria del Mar BisquertVicente García-SantosSanaz ImenAntonio CamachoPublished in: Remote. Sens. (2016)
Keyphrases
- data analysis
- remote sensing
- machine learning models
- satellite data
- earth observation
- change detection
- satellite images
- remote sensing images
- multispectral
- remote sensing imagery
- image analysis
- machine learning
- machine learning algorithms
- high resolution
- image fusion
- hyperspectral
- remote sensing data
- image processing
- spam filtering
- satellite imagery
- data mining
- land cover
- digital image analysis
- automatic image registration
- remote sensed images
- hyperspectral images
- climate change
- high spatial resolution
- hyperspectral remote sensing
- multi spectral images
- geographical information systems
- learning models
- knowledge discovery
- data streams
- remotely sensed data
- learning problems
- active learning
- neural network