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dc.contributor.authorMuhammad Azraie, Abdul Kadir
dc.contributor.authorIsmail, Abustan
dc.contributor.authorMohd Firdaus, Abdul Razak
dc.contributor.authorNoorul Hudai, Abdullah
dc.contributor.authorPingping, Luo
dc.date.accessioned2022-01-18T07:32:30Z
dc.date.available2022-01-18T07:32:30Z
dc.date.issued2021-08
dc.identifier.citationInternational Journal of Nanoelectronics and Materials, vol.14(Special Issue), 2021, pages 21-28en_US
dc.identifier.issn1985-5761 (Printed)
dc.identifier.issn1997-4434 (Online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/73477
dc.descriptionLink to publisher's homepage at http://ijneam.unimap.edu.myen_US
dc.description.abstractInterest in flood inundation study keep increasing due to the increment in the flood hazard around the world. Although the main interest is numerical approach, hydraulic model experiment is still needed. This is because the numerical approach has limitation while the hydraulic model has the capability to replicate the actual condition of flood. To increase the accuracy between hydraulic model and actual site, a large-scale hydraulic model is one of the solutions. However, using a large-scale hydraulic model has drawback, where the measurement of the flood inundation processes is more difficult due its size and duration. Therefore, a fast and accurate measurement approach is required to collect the flood inundation data, especially in terms of flood extent. This study proposed a drone image method to measure the flood extent in a large-scale hydraulic model experiment of flood inundation. A total size of 23 m × 11.5 m hydraulic model were built in a laboratory to replicate the Sungai Bertam with scale 1/25. The ground measurement and drone image were used to measure the flood inundation to determine the capabilities of the drone image. The results demonstrate the efficacy of the proposed approach.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subject.otherDrone imageen_US
dc.subject.otherFlood inundationen_US
dc.subject.otherHydraulic modelen_US
dc.subject.otherLaboratory experimenten_US
dc.subject.otherSungai Bertamen_US
dc.titleImplementing drone as flood inundation laboratory measurement toolen_US
dc.typeArticleen_US
dc.identifier.urlhttp://ijneam.unimap.edu.my
dc.contributor.urlmazraie@uthm.edu.myen_US


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