Implementation of TimeSync (Cohen et al., 2010) in R for calibration/validation of Landsat time series based change detection methods.
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DESCRIPTION
NAMESPACE
README.md
timeSyncR.Rproj

README.md

News

April 10, 2015

  • ggplot option in tsChipsRGB() replaced by plot, which plots zoo objects instead of using ggplot2
  • ability to export RGB chips as a list of raster bricks added (exportChips)
  • ability to export centre pixel time series as a list of zoo objects added (exportZoo)
  • tsChips() updated. See ?tsChips for more info.
  • tutorial updated

timeSyncR

Summary

Tools to aid visualization and interpretation of Landsat time series in R for calibration/validation of change detection methods. This package is (loosely) based on the TimeSync method (Cohen et al., 2010).

Installation

library(devtools)
install_github('bendv/timeSyncR')
library(timeSyncR)

Implementation

Check out this short tutorial. This is very much a work in progress...

References

Cohen, W. B., Yang, Z., & Kennedy, R. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation. Remote Sensing of Environment, 114(12), 2911–2924. doi:10.1016/j.rse.2010.07.010