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Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a...

Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171943367

Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a case study in the southern part of Sumatra, Indonesia

About this item

Full title

Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a case study in the southern part of Sumatra, Indonesia

Publisher

Roslyn: CSIRO

Journal title

International journal of wildland fire, 2022-11, Vol.31 (12), p.1114-1128

Language

English

Formats

Publication information

Publisher

Roslyn: CSIRO

More information

Scope and Contents

Contents

This study describes the development of burn severity and vegetation regrowth classes using vegetation (NDVI) and bareland (NDBI) indices-based change vector analysis (VI-CVA) with a case study on the fire event that occurred at the Berbak National Park, Jambi Province, in 2015. The main objective was to determine the type and the severity level of...

Alternative Titles

Full title

Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a case study in the southern part of Sumatra, Indonesia

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3171943367

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171943367

Other Identifiers

ISSN

1049-8001

E-ISSN

1448-5516

DOI

10.1071/WF21190

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