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Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district

; ; ; ; ;

In
Frontiers in Environmental Science 10, Seiten/Artikel-Nr.:1028373

ImpressumLausanne : Frontiers Media

Umfang1-19

ISSN2296-665X

Online
DOI: 10.3389/fenvs.2022.1028373

DOI: 10.18154/RWTH-2022-09657
URL: https://publications.rwth-aachen.de/record/854601/files/854601.pdf

Einrichtungen

  1. Fachgruppe für Geowissenschaften und Geographie (530000)


Thematische Einordnung (Klassifikation)
DDC: 333.7

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85139212706
WOS Core Collection: WOS:000862654900001

Interne Identnummern
RWTH-2022-09657
Datensatz-ID: 854601

Beteiligte Länder
Germany, Netherlands, Pakistan, Peoples R China, USA

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Georesources and Materials Engineering (Fac.5) > Division of Earth Sciences and Geography
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530000
 Record created 2022-10-17, last modified 2022-11-30
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