Vegetation vulnerability to hydrometeorological stresses in water-scarce areas using machine learning and remote sensing techniques.
Ehsan MoradiHamid DarabiEsmail Heydari AlamdarlooMahshid KarimiBjørn KløvePublished in: Ecol. Informatics (2023)
Keyphrases
- remote sensing
- machine learning
- remote sensing images
- multispectral
- change detection
- remote sensing imagery
- high resolution
- satellite images
- hyperspectral
- image analysis
- land cover
- remotely sensed
- image fusion
- satellite data
- image processing
- hyperspectral images
- automatic image registration
- urban areas
- remote sensing data
- satellite imagery
- high spatial resolution
- remotely sensed data
- pattern recognition
- earth science
- digital image analysis
- earth observation
- remote sensed images
- landsat tm
- remote sensing image processing
- remotely sensed images
- hyperspectral imagery
- remotely sensed imagery
- multi spectral images
- feature extraction
- hyperspectral remote sensing
- data mining
- neural network
- hyperspectral data
- multiscale
- land cover classification
- computer vision