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.
|Author||Victor Maus [aut, cre]|
|Date of publication||2016-07-19 11:24:53|
|Maintainer||Victor Maus <email@example.com>|
|License||GPL (>= 2) | file LICENSE|
Assessment: Classification assessment
createPatterns: Create patterns
dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time...
example_ts: Data: An example of satellite time series
example_ts_labels: Data: Labels of the satellite time series in example_ts
example_ts.list: Data: A list of satellite time series
get: Get elements from twdtwMatches objects
getDatesFromDOY: Get dates from year and day of the year
getTimeSeries: Get time series from twdtw* objects
linearWeight: Linear weight function
logisticWeight: Logistic weight function
patterns.list: Data: patterns time series
plot: Plotting twdtw* objects
plotAlignments: Plotting alignments
plotArea: Plotting maps
plotChanges: Plotting changes
plotClassification: Plotting subintervals classification
plotCostMatrix: Plotting paths
plotDistance: Plotting distance maps
plotMaps: Plotting maps
plotMatches: Plotting matching points
plotPaths: Plotting paths
plotPatterns: Plotting temporal patterns
plotTimeSeries: Plotting time series
reexports: Objects exported from other packages
resampleTimeSeries: Resample time series
shiftDates: Shift dates
subset: Subset time series
twdtwApply: Apply TWDTW analysis
twdtwClassify: Classify time series
twdtwMatches-class: class "twdtwMatches"
twdtwRaster-class: class "twdtwRaster"
twdtwTimeSeries-class: class "twdtwTimeSeries"
yearly_patterns_mt: Data: patterns time series