Estimating of Streamflow Using Multispectral Satellite Imagery

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jin-Gyeom Kim
AU  - Boosik Kang
PY  - 2017/03
DA  - 2017/03
TI  - Estimating of Streamflow Using Multispectral Satellite Imagery
BT  - Proceedings of the 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  - 10.2991/msam-17.2017.36
ID  - Kim2017/03
ER  -