Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

Estimating of Streamflow Using Multispectral Satellite Imagery

Authors
Jin-Gyeom Kim, Boosik Kang
Corresponding Author
Jin-Gyeom Kim
Available Online March 2017.
DOI
https://doi.org/10.2991/msam-17.2017.36How to use a DOI?
Keywords
satellite; remite sensing; streamflow; sentinel
Abstract
In this study streamflow along the river course was reconstructed using Sentinel Satellite imagery. The Sentinel satellite is being operated by ESA(European Space Agency) and provide the imagery with 18 multispectral bands. The near infrared imagery with 10m resolution captured on Feb. 8, 2016 which can identify water body from ground surface was utilized for this study. The experiments were implemented at the 26.7km section from Yangpyeong Bridge to Yeoju Bridge along the South Han River. The streamflows at the reference surveying points with river cross sections ready were estimated using the river width observed from satellite imagery, the pre-calibrated relationships of the stage vs width and stage vs cross-section and the water surface slopes replaced for the energy slopes.
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Proceedings
2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-17.2017.36How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jin-Gyeom Kim
AU  - Boosik Kang
PY  - 2017/03
DA  - 2017/03
TI  - Estimating of Streamflow Using Multispectral Satellite Imagery
BT  - 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 161
EP  - 163
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.36
DO  - https://doi.org/10.2991/msam-17.2017.36
ID  - Kim2017/03
ER  -