Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations.
Eva MarinoMarta YebraMariluz Guillén-ClimentNur AlgeetJosé Luis ToméJavier MadrigalMercedes GuijarroCarmen HernandoPublished in: Remote. Sens. (2020)
Keyphrases
- remote sensing
- change detection
- remote sensing imagery
- multispectral
- remote sensing images
- image analysis
- high resolution
- satellite images
- remote sensing data
- image fusion
- hyperspectral
- image processing
- satellite data
- satellite imagery
- automatic image registration
- medical imaging
- high spatial resolution
- land cover
- digital image analysis
- pattern recognition
- remotely sensed
- remote sensing image processing
- multi spectral images
- remotely sensed images
- remotely sensed imagery
- machine learning
- hyperspectral remote sensing
- hyperspectral imagery
- environmental sciences
- earth observation
- geographical information systems
- hyperspectral images
- neural network
- high resolution satellite images
- remote sensed images
- hyperspectral data
- climate change
- multiresolution