Development of integrated deep learning and machine learning algorithm for the assessment of landslide hazard potential

Abstract In mountainous regions subjected to landslides, susceptibility mapping of these geohazards is necessary for averting and alleviating perilous dangers. The present study applies an integrated methodology for assessing landslide susceptibility of northern Pakistan (Mansehra and Muzaffarabad d...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Aslam, Bilal [verfasserIn]

Zafar, Adeel [verfasserIn]

Khalil, Umer [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

Northern Pakistan

Spatial datasets

Feature extraction

Orthodox machine learning

Landslide susceptibility maps

CNN

Anmerkung:

© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. corrected publication 2021

Übergeordnetes Werk:

Enthalten in: Soft Computing - Springer-Verlag, 2003, 25(2021), 21 vom: 13. Aug., Seite 13493-13512

Übergeordnetes Werk:

volume:25 ; year:2021 ; number:21 ; day:13 ; month:08 ; pages:13493-13512

Links:

Volltext

DOI / URN:

10.1007/s00500-021-06105-5

Katalog-ID:

SPR045276412

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