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Spatiotemporal Arrays, Raster and Vector Data Cubes

Time-Weighted Dynamic Time Warping for satellite image time series analysis

Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.

R package for Raster Time Series Analysis

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