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.

Maintainer: Victor Maus <vwmaus1 at gmail.com>

Author(s): Victor Maus*

Install package and any missing dependencies by running this line in your R console:

install.packages("dtwSat")

Depends R (>= 3.2.0), zoo, raster, ggplot2
Imports methods, rgdal, dtw, proxy, scales, reshape2, grDevices, RColorBrewer, plyr, stats, parallel, sp, lubridate, caret, mgcv
Suggests testthat, knitr, rmarkdown, rticles, gridExtra, grid, png, Hmisc, xtable, tikzDevice
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Package dtwSat
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Version 0.2.1
Published 2016-07-19
License GPL (>= 2) | file LICENSE
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NeedsCompilation yes
Citation
CRAN checks dtwSat check results
Package source dtwSat_0.2.1.tar.gz