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Classification of tree species in a heterogeneous urban environment using object-based ensemble anal...

Classification of tree species in a heterogeneous urban environment using object-based ensemble anal...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2562844560

Classification of tree species in a heterogeneous urban environment using object-based ensemble analysis and World View-2 satellite imagery

About this item

Full title

Classification of tree species in a heterogeneous urban environment using object-based ensemble analysis and World View-2 satellite imagery

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Applied geomatics, 2021-09, Vol.13 (3), p.373-387

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Urban trees are valuable in, inter alia, ameliorating air pollution and mitigating the effects associated with urban heat islands. The dearth of tree cover maps is a major challenge for urban planners in the management of urban trees. This work adopts remote sensing approaches to provide urban tree cover maps which can strengthen urban landscape ma...

Alternative Titles

Full title

Classification of tree species in a heterogeneous urban environment using object-based ensemble analysis and World View-2 satellite imagery

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2562844560

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2562844560

Other Identifiers

ISSN

1866-9298

E-ISSN

1866-928X

DOI

10.1007/s12518-021-00358-3

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