MOD13Q1.MT.yearly.patterns

This dataset has a list of patterns with the phenological cycle of: Water,
Cotton-Fallow, Forest, Low vegetation, Pasture, Soybean-Cotton, Soybean-Maize, Soybean-Millet, 
Soybean-Sunflower, and Wetland. These time series are based on the MODIS product 
MOD13Q1 250 m 16 days Didan:2015dtwSat. 
The patterns were built from ground truth samples of each 
crop using Generalized Additive Models (GAM), see createPatterns.

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.MT.yearly.patterns function

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: Pattern time series — MOD13Q1.MT.yearly.patterns

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

MOD13Q1.MT.yearly.patterns: Data: Pattern time series

Description

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Author

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