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Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost...

Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_30bd58988a5f4164b35192884bce8347

Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods

About this item

Full title

Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods

Publisher

Oxford: John Wiley & Sons, Inc

Journal title

Remote Sensing in Ecology and Conservation, 2023-06, Vol.9 (3), p.370-389

Language

English

Formats

Publication information

Publisher

Oxford: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Leaf area index (LAI) is a vital parameter reflecting vegetation structure, physio‐ecological process and growth development. Accurate estimation of mangrove LAI is fundamental for assessing the ecological restoration and sustainable development of mangrove ecosystems. To date, very few studies have explored the hybrid method of radiative transfer...

Alternative Titles

Full title

Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_30bd58988a5f4164b35192884bce8347

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_30bd58988a5f4164b35192884bce8347

Other Identifiers

ISSN

2056-3485

E-ISSN

2056-3485

DOI

10.1002/rse2.315

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