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Inventory of River Basin Flood Events for Drainage System Examination Using Multi-Temporal Composite Remote Sensing Data

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dc.citedby0
dc.contributor.authorHamim S.A.en_US
dc.contributor.authorUsman F.en_US
dc.contributor.authorGumano H.N.en_US
dc.contributor.authorSondang V.A.en_US
dc.contributor.authorMarlina R.A.S.en_US
dc.contributor.authorid57200660053en_US
dc.contributor.authorid55812540000en_US
dc.contributor.authorid57223223109en_US
dc.contributor.authorid58305025500en_US
dc.contributor.authorid58305431900en_US
dc.date.accessioned2024-10-14T03:18:27Z
dc.date.available2024-10-14T03:18:27Z
dc.date.issued2023
dc.description.abstractPalembang City is divided into two regions by the Musi river, and there are 114 tributaries streamed within Palembang City, with 31.58% located in the Seberang Ilir region and 68.42% in the Seberang Ulu region. In the lowland topography of Palembang City, with most of the region below 5 m above mean sea level, flooding becomes repetitive. This paper examines the flooded area within the Bendung river basin using multi-temporal composite remote sensing radar data from Sentinel 1. Flood events in November 2018 and December 2021 were selected. The flood extent and affected populations will be calculated using Google Earth Engine (GEE) and Geographic Information System (GIS) application. In this study, flood extent was delineated and compared for different digital elevation models. It is found that the threshold value, the DEM, and the availability of radar data in conjunction with the flood event will better delineate the affected area to the flood. The DEM contributed a 37.5% to 83% difference in the delineated area calculation. The script in the GEE is customizable for different areas of interest and can be applied to different areas with adjustments to the threshold value that should be a minimum of 1.0 or higher. � 2023 Sumi Amariena Hamim et alen_US
dc.description.abstractpublished by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.18421/TEM122-49
dc.identifier.epage1037
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85161237401
dc.identifier.spage1030
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85161237401&doi=10.18421%2fTEM122-49&partnerID=40&md5=442352a0ced90ded0ec5c861793fc104
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34212
dc.identifier.volume12
dc.pagecount7
dc.publisherUIKTEN - Association for Information Communication Technology Education and Scienceen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleTEM Journal
dc.subjectdrainage system
dc.subjectremote sensing
dc.subjectriver basin flood
dc.titleInventory of River Basin Flood Events for Drainage System Examination Using Multi-Temporal Composite Remote Sensing Dataen_US
dc.typeArticleen_US
dspace.entity.typePublication
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