MOD13Q1.ts.labels

These labels are based on field work.

datasets

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.

Victor Maus

dtwSat

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

Marius Appel

Nikolas Kuschnig

Toni Giorgino

MOD13Q1.ts.labels function

An object of class <a href="/link/data.frame?package=dtwSat&version=0.2.8" data-mini-rdoc="dtwSat::data.frame">data.frame</a>, whose attributes are: 
the label of the crop class ''label'', the start of the crop period ''from'',
and the end of the crop period ''to''. The dates are in the format ''yyyy-mm-dd''.

Format

Victor Maus, <a href="/link/vwmaus1%40gmail.com?package=dtwSat&version=0.2.8" data-mini-rdoc="dtwSat::vwmaus1@gmail.com">vwmaus1@gmail.com</a>

Author

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

An object of class <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a>, whose attributes are: 
the label of the crop class ''label'', the start of the crop period ''from'',
and the end of the crop period ''to''. The dates are in the format ''yyyy-mm-dd''.

Victor Maus, <a href='mailto:vwmaus1@gmail.com'>vwmaus1@gmail.com</a>

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

Description

Usage

Arguments

Format

Author

See Also