eprintid: 14514
rev_number: 14
eprint_status: archive
userid: 353
dir: disk0/00/01/45/14
datestamp: 2017-03-31 09:18:56
lastmod: 2021-08-27 17:28:48
status_changed: 2017-03-31 09:18:56
type: other
metadata_visibility: show
item_issues_count: 1
creators_name: Maus, V.
creators_name: Appel, M.
creators_name: Giorgino, T.
creators_id: 8780
creators_orcid: 0000-0002-7385-4723
title: Time-Weighted Dynamic Time Warping for satellite image time series analysis (Software)
ispublished: pub
divisions: prog_esm
abstract: Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land cover mapping using satellite image time series. TWDTW is based on the Dynamic Time Warping technique and has achieved high accuracy for 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, create temporal plots for land cover change, and compute accuracy assessment metrics.
date: 2017-03-31
date_type: published
publisher: v. 0.2.2
official_url: https://cran.r-project.org/web/packages/dtwSat/index.html
creators_browse_id: 3138
full_text_status: public
related_url_url: http://pure.iiasa.ac.at/14513/
related_url_type: publ
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/other
citation:   Maus, V. <https://pure.iiasa.ac.at/view/iiasa/3138.html> ORCID: https://orcid.org/0000-0002-7385-4723 <https://orcid.org/0000-0002-7385-4723>, Appel, M., & Giorgino, T.  (2017).  Time-Weighted Dynamic Time Warping for satellite image time series analysis (Software).    v. 0.2.2      
document_url: https://pure.iiasa.ac.at/id/eprint/14514/1/dtwSat_0.2.2.tar.gz