Dongsu Kim

Associate Professor

Dankook University

South Korea

Research Interests

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About

Dr. Dongsu Kim is an Associate Professor at Dankook University in South Korea. His research primarily focuses on environmental monitoring using advanced imaging technologies, including UAV-based hyperspectral and multispectral imagery. Recent articles highlight his work on morphological dune mapping, riverbed classification, and the evaluation of local bed shear stress in river channels.

Articles (13)

Year:

2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

Year:

2023

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2022

Year:

2022

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2021

Year:

2020

Collaborators (5)

Marian Muste

UNITED STATES

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Young Do Kim

Professor

Myongji University

SOUTH KOREA

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Ryota Tsubaki

Associate Professor

Nagoya University

JAPAN

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Siyoon Kwon

Assistant Professor

Gyeongsang National University

SOUTH KOREA

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YONG SUNG PARK

SOUTH KOREA

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Dongsu Kim

Research Interests

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About

Articles (13)

Experimental Evaluation of Estimating Local Bed Shear Stress Using Log Law in a Straight River Channel

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

On the Capabilities of Emerging Nonintrusive Methods to Estimate Bedform Characteristics and Bedload Rates

Classification Technique of Algae Using Hyperspectral Images of Algae Culture Media

Analysis of Mixing Patterns of River Confluences through 3D Spatial Interpolation of Sensor Measurement Data

A Standardized Procedure to Build a Spectral Library for Hazardous Chemicals Mixed in River Flow Using Hyperspectral Image

Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Based Hyperspectral Imagery

Performance of a Rectangular-Shaped Surface Velocity Radar for River Velocity Measurements

Riverine Bathymetry Survey Using Unmanned Aerial Vehicle-Based Multispectral Image

Insights into Flood Wave Propagation in Natural Streams as Captured with Acoustic Profilers at an Index-Velocity Gaging Station

A flood-crest forecast prototype for river floods using only in-stream measurements

Development of an Image Registration Technique for Fluvial Hyperspectral Imagery Using an Optical Flow Algorithm

Field Measurement of Spatiotemporal Algae Distribution Using In Situ Optical Particle Size Sensor

Collaborators (5)

Marian Muste

Young Do Kim

Ryota Tsubaki

Siyoon Kwon

YONG SUNG PARK

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