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Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping...

Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_rs17071161

Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece

About this item

Full title

Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece

Journal title

Remote sensing (Basel, Switzerland), 2025-03, Vol.17 (7), p.1161

Language

English

Formats

More information

Scope and Contents

Contents

Landslides are one of the most severe geohazards globally, causing extreme financial and social losses. While InSAR time-series analyses provide valuable insights into landslide detection, mapping, and monitoring, AI is also implemented in a variety of geohazards, including landslides. In the present study, a machine learning (ML) landslide suscept...

Alternative Titles

Full title

Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_3390_rs17071161

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_rs17071161

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs17071161

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