New algorithm to estimate chlorophyll-a concentration from the spectral reflectance of inland water

Xiaozhou Shu; Dingbo Kuang

doi:10.1117/12.317777

17 August 1998 New algorithm to estimate chlorophyll-a concentration from the spectral reflectance of inland water

Xiaozhou Shu, Dingbo Kuang

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317777
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

The remote sensing of chlorophyll-a concentration of inland water is troublesome because of the numerous pollutant substances. It was found that the reflectance ratio R(700 nm)/R(675 nm) depends on not only chlorophyll-a concentration but also the scattering and absorption coefficients of suspensions and dissolved organic matter. The absorption of phycocyanin at 624 nm is a very important spectral feature for estimation of chlorophyll-a concentration as well as that of chlorophyll-a. New algorithms were developed, in which reflectance ratio R(600 nm)/R(624 nm) or R(560 nm)/R(624 nm) was used as water quality correction.

Citation Download Citation

Xiaozhou Shu and Dingbo Kuang "New algorithm to estimate chlorophyll-a concentration from the spectral reflectance of inland water", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317777

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