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Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bba904348b9484d8261e91a7fb3c051

Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

About this item

Full title

Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (10), p.1257

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The increasing volume of remote sensing data with improved spatial and temporal resolutions generates unique opportunities for monitoring and mapping of crops. We compared multiple single-band and multi-band object-based time-constrained Dynamic Time Warping (DTW) classifications for crop mapping based on Sentinel-2 time series of vegetation indice...

Alternative Titles

Full title

Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6bba904348b9484d8261e91a7fb3c051

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bba904348b9484d8261e91a7fb3c051

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs11101257

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