Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/18927
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dc.contributor.authorElydia Azman-
dc.contributor.authorEu, Grace Yi Ying-
dc.contributor.authorLim, Yean Yue Gladys-
dc.contributor.authorSeah, Yiting-
dc.contributor.authorWu, B. S.-
dc.contributor.authorIrvine, Kim N.-
dc.date.accessioned2017-07-27T08:26:42Z-
dc.date.available2017-07-27T08:26:42Z-
dc.date.issued2016-
dc.identifier.citationElydia Azman, Eu, G. Y. Y., Lim, Y. Y. G., Seah, Y., Wu, B. S., & Irvine, K. N. (2016). An exploratory application of remote sensing technologies and statistical analysis to provide rapid and cost effective inundation predictions for the Tonle Sap Lake floodplain system. Journal of Geography, Environment and Earth Science International, 5(3), 1-13. http://dx.doi.org/10.9734/JGEESI/2016/23531en
dc.identifier.issn2454-7352-
dc.identifier.urihttp://hdl.handle.net/10497/18927-
dc.description.abstractThe objective of this study is twofold: i) explore a simple, empirical relationship based on freely available, remotely sensed data and the water levels recorded at Prek Kdam (one week prior) to predict total inundated area of the Tonle Sap flood plain; and ii) use the relationship to provide a preliminary demarcation of flood risk zones around the Tonle Sap Lake.en
dc.language.isoenen
dc.subjectTonle Sap Lakeen
dc.subjectFloodplainen
dc.subjectRemote sensingen
dc.subjectGISen
dc.subjectRegression modelen
dc.titleAn exploratory application of remote sensing technologies and statistical analysis to provide rapid and cost effective inundation predictions for the Tonle Sap Lake floodplain systemen
dc.typeArticleen
dc.identifier.doi10.9734/JGEESI/2016/23531-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith file-
item.grantfulltextOpen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
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