dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R

Wegner Maus, Victor and Camara, Gilberto and Appel, Marius and Pebesma, Edzer (2019) dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R. Journal of Statistical Software, 88 (5). pp. 1-31. ISSN 1548-7660

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The opening of large archives of satellite data such as LANDSAT, MODIS and the SENTINELs has given researchers unprecedented access to data, allowing them to better quantify and understand local and global land change. The need to analyze such large data sets has led to the development of automated and semi-automated methods for satellite image time series analysis. However, few of the proposed methods for remote sensing time series analysis are available as open source software. In this paper we present the R package dtwSat. This package provides an implementation of the time-weighted dynamic time warping method for land cover mapping using sequence of multi-band satellite images. Methods based on dynamic time warping are flexible to handle irregular sampling and out-of-phase time series, and they have achieved significant results in time series analysis. Package dtwSat is available from the Comprehensive R Archive Network (CRAN) and contributes to making methods for satellite time series analysis available to a larger audience. The package supports the full cycle of land cover classification using image time series, ranging from selecting temporal patterns to visualizing and assessing the results.

Item Type: Article
Additional Information: Victor Maus has been supported by the Institute for Geoinformatics, University of Münster (Germany), and by the Earth System Science Center, National Institute for Space Research (Brazil). Gilberto Câmara's term as Brazil Chair at IFGI has been supported by CAPES (grant 23038.007569/2012-16). Gilberto's work is also supported by FAPESP e-science program (grant 2014-08398-6) and CNPq (grant 312151/2014-4).
Keywords: dynamic programming, MODIS time series, land cover changes, crop monitoring
Divisions: Departments > Sozioökonomie > Ecological Economics
Version of the Document: Published
Variance from Published Version: Not applicable
Depositing User: Victor Wegner Maus
Date Deposited: 30 Jan 2019 09:44
Last Modified: 30 Jan 2019 11:30
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/89938/
URI: https://epub.wu.ac.at/id/eprint/6808


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