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Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series

Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f408f8ee0c2e42c194d84ee43d75d2ae

Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series

About this item

Full title

Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1446

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Many models for change point detection from time series remote sensing images have been developed to date. For forest ecosystems, fire disturbance detection models have always been an important topic. However, due to a lack of benchmark datasets, it is difficult to determine which model is appropriate. Therefore, we collected and generated a benchm...

Alternative Titles

Full title

Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f408f8ee0c2e42c194d84ee43d75d2ae

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f408f8ee0c2e42c194d84ee43d75d2ae

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14061446

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