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Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis...

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4f2dc6a6c964cc7b2286a066b4e4afc

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil

About this item

Full title

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-11, Vol.15 (21), p.5137

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Landslides are among the most frequent hazards in Latin America and the world. In Brazil, they occur every year and cause economic and social loss. Landslide inventories are essential for assessing susceptibility, vulnerability, and risk. Over the decades, a variety of mapping approaches have been employed for the detection of landslides using Eart...

Alternative Titles

Full title

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e4f2dc6a6c964cc7b2286a066b4e4afc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4f2dc6a6c964cc7b2286a066b4e4afc

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15215137

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