Mr. Xiaodong Bian Profile

Xiaodong Bian

at Qilu Univ of Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 27 March 2022 Paper

A review of remote sensing of suspended sediment concentration in the Yellow River estuary

Xiaodong Bian, Dingfeng Yu, Shenliang Chen, Peng Li, Yanguo Fan, Chunyan Zhao

Proceedings Volume 12169, 1216916 (2022) https://doi.org/10.1117/12.2622175

KEYWORDS: Remote sensing, Satellites, Data modeling, Meteorological satellites, Reflectivity, Sensors, Water, Spatial resolution, Ocean optics, Algorithm development

Read Abstract +

The Yellow River is one of the most sediment laden rivers in the world. It flows through the Loess Plateau and carries a large amount of sediment into the Bohai Sea. The sediment carried by the upper reaches of the Yellow River not only creates a large area of new land, but also affects the optical properties of the waters in the Yellow River Estuary.Suspended sediment content is one of the important parameters to characterize water quality. Many studies are devoted to the establishment of inversion models for quantitative inversion of suspended sediment concentration in the Yellow River Estuary. This paper summarizes the research progress of remote sensing retrieval of suspended sediment concentration in the Yellow River Estuary in recent years. The inversion algorithms for suspended sediment concentration in the Yellow River Estuary can be divided into three categories: empirical algorithm, semi analytical algorithm and analytical algorithm. The data sources for establishing the inversion model can be divided into measured spectral data and satellite data,in which the satellite data includes marine satellite data, Landsat data and meteorological satellite data. In view of the existing problems in the remote sensing inversion of suspended sediment concentration in the Yellow River Estuary, it is proposed that the future research should strengthen the spatiotemporal fusion of Multi-source Satellite data, develop the universal inversion model, and strengthen the application of machine learning algorithm and deep learning algorithm in this field

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years