Satellite remote sensing for red tide detection and monitoring in China

Weigen Huang; Xiulin Lou

doi:10.1117/12.466716

8 May 2003 Satellite remote sensing for red tide detection and monitoring in China

Weigen Huang, Xiulin Lou

Proceedings Volume 4892, Ocean Remote Sensing and Applications; (2003) https://doi.org/10.1117/12.466716
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Satellite remote sensing technique has been used to detect and monitor red tide events in China since 1990s. In this paper we present the algorithms developed for extracting information about red tide events from NOAA AVHRR and Seastar SeaWiFS sensors. These algorithms include the multi-band ratio algorithms based on the spectral characteristics of the coastal waters, the ocean color-temperature algorithm that depends on the reflectance and temperature of the red tide waters, and the neural network model that employs the neural networks. The applications of the satellite remote sensing technique are given to the information extraction of the time (start and duration), the location and the spatial extent of the red tide events for red tide management and mitigation. Some examples are presented.

Citation Download Citation

Weigen Huang and Xiulin Lou "Satellite remote sensing for red tide detection and monitoring in China", Proc. SPIE 4892, Ocean Remote Sensing and Applications, (8 May 2003); https://doi.org/10.1117/12.466716

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