Provides an implementation of the TimeWeighted Dynamic Time Warping (TWDTW) method for land cover mapping using satellite image time series. TWDTW is based on the Dynamic Time Warping technique and has achieved high accuracy for 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, create temporal plots for land cover change, and compute accuracy assessment metrics.
Package details 


Author  Victor Maus [aut, cre], Marius Appel [ctb], Toni Giorgino [ctb] 
Date of publication  20170516 20:57:15 UTC 
Maintainer  Victor Maus <vwmaus1@gmail.com> 
License  GPL (>= 2)  file LICENSE 
Version  0.2.3 
URL  https://github.com/vwmaus/dtwSat/ 
Package repository  View on CRAN 
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