Inland Riverine Turbidity Estimation for Hanjiang River with Landsat 8 OLI Imager

FENG Qi; CHENG Xuejun; SHEN Xin; XIAO Xiao; WANG Lihui; ZHANG Wen

doi:10.13203/j.whugis20141002

Volume 42 Issue 5

May 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(5): 643-647. > DOI: 10.13203/j.whugis20141002

FENG Qi, CHENG Xuejun, SHEN Xin, XIAO Xiao, WANG Lihui, ZHANG Wen. Inland Riverine Turbidity Estimation for Hanjiang River with Landsat 8 OLI Imager[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 643-647. DOI: 10.13203/j.whugis20141002

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Inland Riverine Turbidity Estimation for Hanjiang River with Landsat 8 OLI Imager

FENG Qi^1,,
CHENG Xuejun²,
SHEN Xin^{3, 4, 5, ,},
XIAO Xiao²,
WANG Lihui¹,
ZHANG Wen⁶

1.
Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
2.
Changjiang River Scientific Research Institute, Wuhan 430010, China
3.
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
4.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
5.
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
6.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Funds:

The CRSRI Open Research Program CKWV2012323

the National Natural Science Foundation of China 41301098

the Non-profit Scientific and Technological Research Projects in Hubei Province 2013BCB017

Independent Research of Wuhan University 2042014kf0059

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Author Bio:
FENG Qi, PhD, associate researcher, specializes in remote sensing application. E-mail: fengqi@asch.whigg.ac.cn
Corresponding author:
SHEN Xin, PhD. E-mail:xinshen@whu.edu.cn
Received Date: April 07, 2015
Published Date: May 04, 2017

Graphical Abstract

Abstract

Abstract

This research investigated the Landsat 8 Operational Land Imager (OLI) performance in monitoring dynamic riverine turbidity in a case study of he Hanjiang River in China, the largest tributary of the Yangtze River. Field surveys conducted between April and November 2013 showed a wide range of turbidity (15.8~54.4 NTU). A practical exponential retrieval algorithm used in conjunction with the OLI bands1, 3 and 5 on the Landsat 8 was developed to assess compatibility between satellite remote sensing reflectance and in-situ measured data. Results obtained for the whole area accurately matched the in-situ data at most stations (R²=0.71, MAPE=15.44%) during the validation phase. It was found that Landsat 8 OLI imagery can be used to estimate turbidity in inland riverine systems when a suitable retrieval algorithm is applied.
- Hanjiang River,
- Landsat 8,
- turbidity,
- retrieval miodel,
- inland water systems

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References (18)

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