Morphological Dune Mapping in Shallow Alluvial Stream Using UAV-based Hyperspectral Images

Characterizing morphological features in shallow streams such as dunes and ripples is vital to studies on fluvial geomorphology and in-stream habitat assessments of stream ecology. The paper aimed to examine the feasibility of a conventional hyperspectral method called linear optimal band ratio anal...

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Bibliographic Details
Published in:KSCE journal of civil engineering 2024, 28(4), , pp.1594-1606
Main Authors: You, Hojun, Kim, Dongsu, Gwon, Yeonghwa
Format: Article
Language:English
Subjects:
Alluvial rivers
Bathymetry
Civil Engineering
Dunes
Engineering
Geomorphology
Geotechnical Engineering & Applied Earth Sciences
Global positioning systems
GPS
Hyperspectral imaging
Industrial Pollution Prevention
Kinematics
Low altitude
Morphology
Positioning systems
Ripples
Rivers
Spatial discrimination
Spatial resolution
Streams
Unmanned aerial vehicles
Water Resources and Hydrologic Engineering
토목공학
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Summary:Characterizing morphological features in shallow streams such as dunes and ripples is vital to studies on fluvial geomorphology and in-stream habitat assessments of stream ecology. The paper aimed to examine the feasibility of a conventional hyperspectral method called linear optimal band ratio analysis for capturing the detailed morphologies in shallow small streams, allowing the identification of ripples and dunes. The present study involved a dedicated field experiment at the Gam stream, which is a tributary of the Nakdong River, South Korea. An unmanned aerial vehicle based hyperspectral image was obtained with a spatial resolution of
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-024-1278-y