Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi-Source Land Cover Products.
Yang HuYunfeng HuPublished in: Remote. Sens. (2020)
Keyphrases
- multi source
- land cover
- multispectral
- remote sensing data
- satellite images
- remote sensing images
- satellite imagery
- remote sensing
- remotely sensed
- supervised classification
- data fusion
- information fusion
- change detection
- remotely sensed images
- remotely sensed data
- multiple sources
- image data
- multispectral images
- geographic information systems
- data integration
- data sources
- hyperspectral
- image analysis
- multi dimensional
- reinforcement learning
- urban areas
- high resolution
- databases
- machine learning
- image processing
- database systems
- high quality
- information integration
- community detection
- supervised learning
- unsupervised learning