dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis

Provides a robust approach to land use mapping using multi-dimensional (multi-band) satellite image time series. By leveraging the Time-Weighted Dynamic Time Warping (TWDTW) distance metric in tandem with a 1 Nearest-Neighbor (1-NN) Classifier, this package offers functions to produce land use maps based on distinct seasonality patterns, commonly observed in the phenological cycles of vegetation. The approach is described in Maus et al. (2016) <doi:10.1109/JSTARS.2016.2517118> and Maus et al. (2019) <doi:10.18637/jss.v088.i05>. A primary advantage of TWDTW is its capability to handle irregularly sampled and noisy time series, while also requiring minimal training sets. The package includes tools for training the 1-NN-TWDTW model, visualizing temporal patterns, producing land use maps, and visualizing the results.

Version: 1.0.0
Depends: twdtw, sf, stars, ggplot2
Imports: mgcv, stats, tidyr, proxy
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-09-22
Author: Victor Maus ORCID iD [aut, cre], Marius Appel ORCID iD [ctb], Nikolas Kuschnig ORCID iD [ctb], Toni Giorgino ORCID iD [ctb]
Maintainer: Victor Maus <vwmaus1 at gmail.com>
BugReports: https://github.com/vwmaus/dtwSat/issues/
License: GPL (≥ 3)
URL: https://github.com/vwmaus/dtwSat/
NeedsCompilation: no
Citation: dtwSat citation info
Materials: NEWS
CRAN checks: dtwSat results


Reference manual: dtwSat.pdf
Vignettes: 1. Land use mapping using TWDTW-1NN and stars


Package source: dtwSat_1.0.0.tar.gz
Windows binaries: r-devel: dtwSat_1.0.0.zip, r-release: dtwSat_1.0.0.zip, r-oldrel: dtwSat_1.0.0.zip
macOS binaries: r-release (arm64): dtwSat_1.0.0.tgz, r-oldrel (arm64): dtwSat_0.2.8.tgz, r-release (x86_64): dtwSat_1.0.0.tgz, r-oldrel (x86_64): dtwSat_0.2.8.tgz
Old sources: dtwSat archive


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