Modeling morphodynamic processes in meandering rivers with UAV-based measurements

dc.contributor.author Özcan, Orkan en_US
dc.contributor.author Akay, Semih Sami en_US
dc.coverage.doi 10.1109/IGARSS.2018.8518221
dc.coverage.doi 10.1109/IGARSS.2018.8518221 en_US
dc.date.accessioned 2019-05-31T08:17:09Z
dc.date.available 2019-05-31T08:17:09Z
dc.date.issued 2018-07
dc.description Akay, Semih Sami (Arel Author) en_US
dc.description.abstract Accurate surface models are a crucial component of studies of morphodynamic modeling of rivers and river channel evolution. The high flows that rivers have are caused by changes in flood bed or low canal flow, also it changes river channel morphology. Floods that occur during the spring months cause significant geomorphological changes. In addition to this, low flows during the summer also trigger erosion and superficial accumulation in the ongoing process. Using an accurate, high-resolution, seamless surface models of the river channel and floodplain allows to detect morphological changes of the whole river channel more accurately than using traditional methods. This enables a more comprehensive view of the riverbed evolution. Therefore, high-quality topographical data at different scales are required to study fluvial processes and river dynamics. Nowadays, a combination of photogrammetry and Unmanned Aerial Vehicle (UAV) systems is widely used for various applications, especially for 3D surface modelling and large scale mapping. UAV systems offer many advantages in terms of cost and image resolution when compared to terrestrial photogrammetry and satellite remote sensing systems. In the study, aerial imaging was carried out via UAV to produce very high resolution surface models based on Structure from Motion (SfM) technique. Multi-temporal topographic data were produced and morphodynamic processes in the Buyuk Menderes River were modeled. Thus, UAV-based a fast and practical way to derive volumetric quantity of lost/gained soil was developed. en_US
dc.identifier.citation Ozcan, O., Akay, S. S., & Ieee. (2018). MODELING MORPHODYNAMIC PROCESSES IN MEANDERING RIVERS WITH UAV-BASED MEASUREMENTS Igarss 2018 - 2018 Ieee International Geoscience and Remote Sensing Symposium (pp. 7886-7889). New York: Ieee. en_US
dc.identifier.doi 10.1109/IGARSS.2018.8518221
dc.identifier.isbn 9781538671504
dc.identifier.issn 2153-6996
dc.identifier.uri https://hdl.handle.net/20.500.12294/1457
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject UAV en_US
dc.subject SfM en_US
dc.subject Erosion en_US
dc.subject River Morphology en_US
dc.title Modeling morphodynamic processes in meandering rivers with UAV-based measurements en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-7367-8555 en_US
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department Uygulamalı Bilimler Yüksekokulu, Gayrimenkul ve Varlık Değerleme Bölümü
gdc.description.endpage 7889
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 7886
gdc.identifier.openalex W2901433131
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 6.0
gdc.oaire.influence 2.8516467E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Erosion
gdc.oaire.keywords UAV
gdc.oaire.keywords SfM
gdc.oaire.keywords river morphology
gdc.oaire.keywords erosion
gdc.oaire.keywords River Morphology
gdc.oaire.popularity 7.9103115E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0207 environmental engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 0.80
gdc.openalex.normalizedpercentile 0.72
gdc.opencitations.count 11
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 18
gdc.plumx.scopuscites 10
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relation.isOrgUnitOfPublication.latestForDiscovery 2e91c776-13a0-418d-9890-d4f1f8976c79

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