Share Email Print
cover

Proceedings Paper

Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study
Author(s): Cong Du; Shixin Wang; Yi Zhou; Fuli Yan
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval, this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50μg·L-1. And then build the statistical models for each group. Particularly, a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result, the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12μg·L-1 and the determination coefficient (R2) was 0.92, comparing with RMSE of chla estimation was 35.72μg·L-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters.

Paper Details

Date Published: 29 December 2008
PDF: 8 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728552 (29 December 2008); doi: 10.1117/12.815914
Show Author Affiliations
Cong Du, Institute of Remote Sensing Applications (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Shixin Wang, Institute of Remote Sensing Applications (China)
Yi Zhou, Institute of Remote Sensing Applications (China)
Fuli Yan, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

© SPIE. Terms of Use
Back to Top