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Article: AIGIS-based methodology for natural terrain landslide susceptibility mapping in Hong Kong

TitleAIGIS-based methodology for natural terrain landslide susceptibility mapping in Hong Kong
Authors
Lee, CFYe, HYeung, MRShan, XChen, G
Issue Date2001
PublisherInternational Union of Geological Sciences. The Journal's web site is located at http://www.episodes.org/
Citation
Episodes, 2001, v. 24 n. 3, p. 150-159 How to Cite?
DOI: http://dx.doi.org/10.18814/epiiugs/2001/v24i3/62649
AbstractThis paper presents a novel application of Artificial Intelligence (AI) and Geographic Information System (GIS) to the mapping of natural terrain landslide susceptibility in Hong Kong. The method is applied to the central part of Lantau Island as a pilot study. First, we discuss the key technical concepts of AI and GIS, the advantages of their integrated application, and the growing importance of remote sensing data. We then describe the working procedure including the construction of the GIS database, pre-treatment of input data, and training of the network classifier. High prediction rates and positive outcomes from reliability tests demonstrate the success of the methodology and show its great potential for use in landslide disaster mitigation planning in Hong Kong.
Persistent Identifierhttp://hdl.handle.net/10722/71633
ISSN
0705-3797
2021 Impact Factor: 2.439
2020 SCImago Journal Rankings: 0.478
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLee, CFen_HK
dc.contributor.authorYe, Hen_HK
dc.contributor.authorYeung, MRen_HK
dc.contributor.authorShan, Xen_HK
dc.contributor.authorChen, Gen_HK
dc.date.accessioned2010-09-06T06:33:46Z-
dc.date.available2010-09-06T06:33:46Z-
dc.date.issued2001en_HK
dc.identifier.citationEpisodes, 2001, v. 24 n. 3, p. 150-159en_HK
dc.identifier.issn0705-3797en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71633-
dc.description.abstractThis paper presents a novel application of Artificial Intelligence (AI) and Geographic Information System (GIS) to the mapping of natural terrain landslide susceptibility in Hong Kong. The method is applied to the central part of Lantau Island as a pilot study. First, we discuss the key technical concepts of AI and GIS, the advantages of their integrated application, and the growing importance of remote sensing data. We then describe the working procedure including the construction of the GIS database, pre-treatment of input data, and training of the network classifier. High prediction rates and positive outcomes from reliability tests demonstrate the success of the methodology and show its great potential for use in landslide disaster mitigation planning in Hong Kong.en_HK
dc.languageengen_HK
dc.publisherInternational Union of Geological Sciences. The Journal's web site is located at http://www.episodes.org/en_HK
dc.relation.ispartofEpisodesen_HK
dc.titleAIGIS-based methodology for natural terrain landslide susceptibility mapping in Hong Kongen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0705-3797&volume=24&issue=3&spage=150&epage=159&date=2001&atitle=AIGIS-based+methodology+for+natural+terrain+landslide+susceptibility+mapping+in+Hong+Kongen_HK
dc.identifier.emailLee, CF: leecf@hkucc.hku.hken_HK
dc.identifier.authorityLee, CF=rp00139en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.18814/epiiugs/2001/v24i3/62649-
dc.identifier.scopuseid_2-s2.0-0035458065en_HK
dc.identifier.hkuros71086en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035458065&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume24en_HK
dc.identifier.issue3en_HK
dc.identifier.spage150en_HK
dc.identifier.epage159en_HK
dc.publisher.placeChinaen_HK
dc.identifier.scopusauthoridLee, CF=8068602600en_HK
dc.identifier.scopusauthoridYe, H=55244334500en_HK
dc.identifier.scopusauthoridYeung, MR=7101861686en_HK
dc.identifier.scopusauthoridShan, X=35763273900en_HK
dc.identifier.scopusauthoridChen, G=8727742600en_HK
dc.identifier.issnl0705-3797-

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