Retrieval of total suspended particulate matter in highly turbid Hangzhou Bay waters based on geostationary ocean color imager

Jia Liu; Jiahang Liu; Xianqiang He; Tieqiao Chen; Feng Zhu; Yihao Wang; Zengzhou Hao; Peng Chen

doi:10.1117/12.2278047

13 October 2017 Retrieval of total suspended particulate matter in highly turbid Hangzhou Bay waters based on geostationary ocean color imager

Jia Liu, Jiahang Liu, Xianqiang He, Tieqiao Chen, Feng Zhu, Yihao Wang, Zengzhou Hao, Peng Chen

Author Affiliations +

Proceedings Volume 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017; 1042217 (2017) https://doi.org/10.1117/12.2278047
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

Hangzhou Bay waters are often characterized by extremely high total suspended particulate matter (TSM) concentration due to terrestrial inputs, bottom sediment resuspension and human activities. The spatial-temporal variability of TSM directly contributes to the transport of carbon, nutrients, pollutants, and other materials. Therefore, it is essential to maintain and monitor sedimentary environment in coastal waters. Traditional field sampling methods limit observation capability for insufficient spatial-temporal resolution. Thus, it is difficult to synoptically monitor high diurnal dynamics of TSM. However, the in-orbit operation of the world’s first geostationary satellite ocean color sensor, GOCI, thoroughly changes this situation with hourly observations of covered area. Taking advantage of GOCI high spatial-temporal resolution, we generated TSM maps from GOCI Level-1B data after atmospheric correction based on six TSM empirical algorithms. Validation of GOCI-retrieved normalized water-leaving radiances and TSM concentration was presented in comparison with matched-up in-situ measurements. The mean absolute percentage differences of those six TSM regional algorithms were 24.52%, 163.93%, 195.50%, 70.50%, 121.02%, 82.72%, respectively. In addition, the discrepancy reasons were presented, taking more factors such as diversified satellite data, various study area, and different research season into consideration. It is effective and indispensable to monitor and catch the diurnal dynamics of TSM in Hangzhou Bay coastal waters, with hourly GOCI observations data and appropriate inversion algorithm.

Citation Download Citation

Jia Liu, Jiahang Liu, Xianqiang He, Tieqiao Chen, Feng Zhu, Yihao Wang, Zengzhou Hao, and Peng Chen "Retrieval of total suspended particulate matter in highly turbid Hangzhou Bay waters based on geostationary ocean color imager", Proc. SPIE 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, 1042217 (13 October 2017); https://doi.org/10.1117/12.2278047

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Satellites

Atmospheric corrections

Algorithm development

Sensors

Water

Data modeling

Imaging systems

Show All Keywords

Keywords/Phrases

Search In:

Publication Years