Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/18927
Title: 
Authors: 
Subjects: 
Tonle Sap Lake
Floodplain
Remote sensing
GIS
Regression model
Issue Date: 
2016
Citation: 
Elydia 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/2016/23531
Abstract: 
The 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.
URI: 
ISSN: 
2454-7352
DOI: 
File Permission: 
Open
File Availability: 
With file
Appears in Collections:Journal Articles

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