Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection.
Andréa Eliza O. LuzRogério Galante NegriKlécia G. MassiMarilaine ColnagoErivaldo Antonio da SilvaWallace CasacaPublished in: Remote. Sens. (2022)
Keyphrases
- remote sensing
- change detection
- land cover
- unsupervised anomaly detection
- remote sensing images
- multispectral
- anomaly detection
- remotely sensed images
- satellite images
- high spatial resolution
- remote sensing imagery
- hyperspectral
- image fusion
- image analysis
- semi supervised
- data assimilation
- satellite data
- image processing
- remote sensing data
- intrusion detection
- high resolution
- satellite imagery
- automatic image registration
- remotely sensed
- multi spectral images
- digital image analysis
- hyperspectral imagery
- hyperspectral remote sensing
- digital images
- land cover classification
- data sets
- multispectral images
- remotely sensed data
- spatial resolution
- climate change
- earth science
- earth observation
- image interpretation
- data structure
- active learning