Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves.
Matthias BaumannMutlu OzdoganAndrew D. RichardsonVolker C. RadeloffPublished in: Int. J. Appl. Earth Obs. Geoinformation (2017)
Keyphrases
- remote sensing data
- multispectral
- satellite imagery
- land cover
- remote sensing
- satellite images
- data sets
- remote sensing images
- dynamic time warping
- data sources
- change detection
- computer vision
- supervised classification
- similarity search
- image data
- high resolution
- b spline
- hyperspectral
- multispectral images
- pattern recognition
- feature extraction
- image processing