Paper
3 November 2005 A technique for inversion of water quality parameters in the East Lake based on spectral reflectance measurement
Deren Li, Shenghui Fang, Yuan Zhou
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430M (2005) https://doi.org/10.1117/12.654851
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
The purpose of this paper is to clarify the components of surface water spectral energy as well as the factors that affect these components. Using proper spectral measurement technology and data retrieval algorithms, the spectral characteristic of varying water quality can be obtained, based on the fact that inland water spectral reflectance curves are generally different because of the differences caused by the organism, the eutrophication, and the suspended sediment content(SSC). A model was developed based on the ratio of the water chlorophyll a concentration to spectrum, with a normalized model taking care of simultaneously observed data concerning water quality parameters. The relationship between the pollution index of East Lake in Wuhan and spectral reflectance characteristic was also described through a mixed model concerning chlorophyll and sediment reflectance. The models were proved by some experiments, which facilitate the inversion of water pollution index based on remote sensor measurement.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deren Li, Shenghui Fang, and Yuan Zhou "A technique for inversion of water quality parameters in the East Lake based on spectral reflectance measurement", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430M (3 November 2005); https://doi.org/10.1117/12.654851
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reflectivity

Data modeling

Near infrared

Absorption

Remote sensing

Scattering

Water contamination

Back to Top