dtwSat 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 2019 Cited by 1 Author 1 Li, Hailin Cited in 1 Serial 1 Information Sciences Cited in 2 Fields 1 Statistics (62-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year