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Article: Fuzzy-based spatial modeling approach to predict island karst distribution: A conceptual model

TitleFuzzy-based spatial modeling approach to predict island karst distribution: A conceptual model
Authors
Ho, Hung ChakMylroie, John E.Infante, Louis R.Rodgers, John C.
KeywordsKarst
Remote sensing
Spatial modeling
Carbonate islands
Geomorphology
GIS
Issue Date2014
Citation
Environmental Earth Sciences, 2014, v. 71, n. 3, p. 1369-1377 How to Cite?
DOI: http://dx.doi.org/10.1007/s12665-013-2543-4
AbstractPrevious studies have shown that island karst could successfully indicate paleoclimate change in the Quaternary Period. However, because of the relative inaccessibility of carbonate islands and their rural settings, the exploration of island karst features has been limited. To enhance future research, remote sensing and geospatial modeling were used in this study to improve the island karst exploration record. The results showed that fuzzy-based spatial modeling could successfully predict the island karst distributions on a simple carbonate island. The accuracy of the model was above 90 %. This method could apply to other coastal karst regions and carbonate islands in the future. © 2013 Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/265659
ISSN
1866-6280
2023 Impact Factor: 2.8
2023 SCImago Journal Rankings: 0.633
ISI Accession Number ID
WOS:000330124100034

 

DC FieldValueLanguage
dc.contributor.authorHo, Hung Chak-
dc.contributor.authorMylroie, John E.-
dc.contributor.authorInfante, Louis R.-
dc.contributor.authorRodgers, John C.-
dc.date.accessioned2018-12-03T01:21:18Z-
dc.date.available2018-12-03T01:21:18Z-
dc.date.issued2014-
dc.identifier.citationEnvironmental Earth Sciences, 2014, v. 71, n. 3, p. 1369-1377-
dc.identifier.issn1866-6280-
dc.identifier.urihttp://hdl.handle.net/10722/265659-
dc.description.abstractPrevious studies have shown that island karst could successfully indicate paleoclimate change in the Quaternary Period. However, because of the relative inaccessibility of carbonate islands and their rural settings, the exploration of island karst features has been limited. To enhance future research, remote sensing and geospatial modeling were used in this study to improve the island karst exploration record. The results showed that fuzzy-based spatial modeling could successfully predict the island karst distributions on a simple carbonate island. The accuracy of the model was above 90 %. This method could apply to other coastal karst regions and carbonate islands in the future. © 2013 Springer-Verlag Berlin Heidelberg.-
dc.languageeng-
dc.relation.ispartofEnvironmental Earth Sciences-
dc.subjectKarst-
dc.subjectRemote sensing-
dc.subjectSpatial modeling-
dc.subjectCarbonate islands-
dc.subjectGeomorphology-
dc.subjectGIS-
dc.titleFuzzy-based spatial modeling approach to predict island karst distribution: A conceptual model-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s12665-013-2543-4-
dc.identifier.scopuseid_2-s2.0-84892661781-
dc.identifier.volume71-
dc.identifier.issue3-
dc.identifier.spage1369-
dc.identifier.epage1377-
dc.identifier.eissn1866-6299-
dc.identifier.isiWOS:000330124100034-
dc.identifier.issnl1866-6280-

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