dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time...

Description Author(s) References See Also

Description

Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land use and land cover mapping using satellite image time series [1]. TWDTW is based on the Dynamic Time Warping technique and has achieved high accuracy for land use and land cover classification using satellite data. The method is based on comparing unclassified satellite image time series with a set of known temporal patterns (e.g. phenological cycles associated with the vegetation). Using 'dtwSat' the user can build temporal patterns for land cover types, apply the TWDTW analysis for satellite datasets, visualize the results of the time series analysis, produce land cover maps, and create temporal plots for land cover change analysis.

Author(s)

Victor Maus, vwmaus1@gmail.com

References

[1] Maus V, Camara G, Cartaxo R, Sanchez A, Ramos FM, de Queiroz, GR. (2016). A Time-Weighted Dynamic Time Warping method for land use and land cover mapping. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol.PP, no.99, pp.1-11.

See Also

twdtwApply



Search within the dtwSat package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.