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dtwSat (version 0.2.8)

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

Description

Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land cover mapping. TWDTW computes the similarity between satellite image time series with a set of known temporal patterns (e.g. phenological cycles of the vegetation). 'dtwSat' offers the user methods to create temporal patterns for land cover types, perform TWDTW analysis for satellite datasets, visualize the results of the analysis, produce land cover maps, create temporal plots for land cover change, and compute accuracy metrics.

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Version

Install

install.packages('dtwSat')

Monthly Downloads

108

Version

0.2.8

License

GPL (>= 3) | file LICENSE

Issues

Pull Requests

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Repository

https://github.com/vwmaus/dtwSat/

Homepage

https://www.victor-maus.com/dtwSat/

Maintainer

Victor Maus

Last Published

October 11th, 2022

Functions in dtwSat (0.2.8)

Plotting accumulated area

Plotting twdtw* objects

plotAdjustedArea

Plotting area and uncertainty

Linear weight function

Logistic weight function

plotClassification

Plotting subintervals classification

Plotting matching points

Plotting changes

Plotting distance maps

Plotting temporal patterns

Plotting alignments

resampleTimeSeries

Resample time series

Plotting accuracy assessment

Plotting time series

Objects exported from other packages

Classify time series

twdtwCrossValidate

Cross Validate temporal patterns

twdtwCrossValidation-class

class "twdtwCrossValidation"

twdtwMatches-class

class "twdtwMatches"

twdtwReduceTime

Faster version of TWDTW apply

twdtwRaster-class

class "twdtwRaster"

Subset time series

Apply TWDTW analysis

twdtwTimeSeries-class

class "twdtwTimeSeries"

LaTeX table from accuracy metrics

twdtwAssessment-class

class "twdtwAssessment"

Assess TWDTW classification

Time-Weighted Dynamic Time Warping for Satellite Image Time Series

Data: An example of satellite time series

getDatesFromDOY

Get dates from year and day of the year

Get elements from twdtwMatches objects

Create patterns

Get time series from twdtw* objects

MOD13Q1.MT.yearly.patterns

Data: Pattern time series

MOD13Q1.ts.labels

Data: Labels of the satellite time series in MOD13Q1.ts

MOD13Q1.ts.list

Data: A list of satellite time series

MOD13Q1.patterns.list

Data: patterns time series