Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series.
Katja KowalskiCornelius SenfPatrick HostertDirk PflugmacherPublished in: Int. J. Appl. Earth Obs. Geoinformation (2020)
Keyphrases
- land cover
- remote sensing data
- multispectral
- satellite images
- remote sensing images
- remote sensing
- satellite imagery
- supervised classification
- remotely sensed
- change detection
- remotely sensed images
- image analysis
- multivariate time series
- multispectral images
- non stationary
- spatial resolution
- multiscale
- random forest
- moving average
- random forests
- dynamic time warping
- geographic information systems
- hyperspectral
- image data
- thematic mapper
- image processing
- chronic hepatitis
- turning points
- real time
- image interpretation
- autoregressive
- stock market
- supervised learning
- high resolution
- genetic algorithm