swMATH ID: 15889
Software Authors: Victor Maus
Description: R package dtwSat. Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land use and land cover mapping using satellite image time series. 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.
Homepage: https://cran.r-project.org/web/packages/dtwSat/index.html
Source Code:  https://github.com/cran/dtwSat
Dependencies: R
Keywords: CRAN; R package; Time-Weighted Dynamic Time Warping; TWDTW; Satellite Image Time Series
Related Software: dtw; R; reticulate; microbenchmark; RcppArmadillo; Rcpp; dtaidistance; Cython; cydtw; RcppParallel; parallelDist; rucrdtw; dtwclust; IncDTW; zoo; mgcv; ggplot2; MODISTools; SciDB; spacetime
Cited in: 1 Document

Standard Articles

1 Publication describing the Software Year
dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R Link
Victor Maus and Gilberto Câmara and Marius Appel and Edzer Pebesma

Cited by 1 Author

1 Li, Hailin

Cited in 1 Serial

1 Information Sciences

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