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Coniferous Forests Aboveground Biomass Inversion in Typical Regions of China with Joint Sentinel-1 a...

Coniferous Forests Aboveground Biomass Inversion in Typical Regions of China with Joint Sentinel-1 a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918758013

Coniferous Forests Aboveground Biomass Inversion in Typical Regions of China with Joint Sentinel-1 and Sentinel-2 Remote Sensing Data Supported by Different Feature Optimizing Algorithms

About this item

Full title

Coniferous Forests Aboveground Biomass Inversion in Typical Regions of China with Joint Sentinel-1 and Sentinel-2 Remote Sensing Data Supported by Different Feature Optimizing Algorithms

Publisher

Basel: MDPI AG

Journal title

Forests, 2024-01, Vol.15 (1), p.56

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Multispectral remote sensing (RS) data and synthetic aperture radar (SAR) data can provide horizontal and vertical information about forest AGB under different stand conditions. With the abundance of RS features extracted from multispectral and SAR datasets, a key point for accurate forest AGB estimation is to use suitable feature optimization inve...

Alternative Titles

Full title

Coniferous Forests Aboveground Biomass Inversion in Typical Regions of China with Joint Sentinel-1 and Sentinel-2 Remote Sensing Data Supported by Different Feature Optimizing Algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2918758013

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918758013

Other Identifiers

ISSN

1999-4907

E-ISSN

1999-4907

DOI

10.3390/f15010056

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