A method of real-time monitoring the cyanobacterial bloom in inland waters based on ground-based multi-spectral imaging

Jirui Yu; Bin Xue; Jinyou Tao; Shengrun Liu; Ping Ruan

doi:10.1117/12.2547283

18 December 2019 A method of real-time monitoring the cyanobacterial bloom in inland waters based on ground-based multi-spectral imaging

Jirui Yu, Bin Xue, Jinyou Tao, Shengrun Liu, Ping Ruan

Author Affiliations +

Proceedings Volume 11337, AOPC 2019: Optical Spectroscopy and Imaging; 113370V (2019) https://doi.org/10.1117/12.2547283
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

For the demand of inland water quality monitoring, a ground-based multi-spectral imaging method has been developed. By means of developing an instrument which can gather the multi-spectral data of the waterbody, the method can be used for real-time monitoring the contamination of inland waters, such as cyanobacteria bloom and phytoplankton. The research is focused on the technology of high-resolution multi-spectral data extraction and the theory of contaminant inversion model. Four branches of light beams of simple spectrum are obtained with spectral filters and are recorded by four groups of lens and detectors respectively. The four interested wavelength is chosen as 565 nm, 620 nm, 660 nm, 750 nm, according to the typical reflection peaks and dips of the contamination with a spectral resolution of 15 nm. The optical design features a field of view of 25.2×19.3 degree with a 16mm focal lens. The camera’s resolution is 1628×1236 with the pixel size of 4.4 microns that reaches the spatial resolution of 0.945 arc min. The multi-spectral image is obtained through out-door experiments by monitoring the inland lake—Dianchi at a distance of 5 kilometers. After data revision, we can identify the constituent of the underwater contaminant and explain the pollution situation of cyanobacteria bloom in a certain period quantitatively. The inversion and extraction accuracy can reach at least 85%. And the long-term observation can explore the seasonal pattern of cyanobacteria bloom outbreak.

Citation Download Citation

Jirui Yu, Bin Xue, Jinyou Tao, Shengrun Liu, and Ping Ruan "A method of real-time monitoring the cyanobacterial bloom in inland waters based on ground-based multi-spectral imaging", Proc. SPIE 11337, AOPC 2019: Optical Spectroscopy and Imaging, 113370V (18 December 2019); https://doi.org/10.1117/12.2547283

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
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Charge-coupled devices

Remote sensing

Reflectivity

Atmospheric optics

Calibration

Image resolution

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years