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.
| Version: |
0.2.1 |
| 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 |
| Published: |
2016-07-19 |
| Author: |
Victor Maus [aut, cre] |
| Maintainer: |
Victor Maus <vwmaus1 at gmail.com> |
| BugReports: |
NA |
| License: |
GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: |
NA |
| NeedsCompilation: |
yes |
| Citation: |
dtwSat citation info |
| Materials: |
NEWS |
| CRAN checks: |
dtwSat results |