Next Article in Journal
Thin Film on CMOS Active Pixel Sensor for Space Applications
Previous Article in Journal
First Contact to Odors: Our Current Knowledge about Odorant Receptor
Sensors 2008, 8(10), 6321-6339; doi:10.3390/s8106321
Article

A Multivariate Model for Coastal Water Quality Mapping Using Satellite Remote Sensing Images

1, 1, 1, 1, 1, 1, 1,2, 1,2,*  and 3
1 Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan 2 Hydrotech Research Laboratory, National Taiwan University, Taipei, Taiwan 3 Water Resources Agency, Taipei, Taiwan
* Author to whom correspondence should be addressed.
Received: 11 September 2008 / Revised: 27 September 2008 / Accepted: 6 October 2008 / Published: 10 October 2008
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [709 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

his study demonstrates the feasibility of coastal water quality mapping using satellite remote sensing images. Water quality sampling campaigns were conducted over a coastal area in northern Taiwan for measurements of three water quality variables including Secchi disk depth, turbidity, and total suspended solids. SPOT satellite images nearly concurrent with the water quality sampling campaigns were also acquired. A spectral reflectance estimation scheme proposed in this study was applied to SPOT multispectral images for estimation of the sea surface reflectance. Two models, univariate and multivariate, for water quality estimation using the sea surface reflectance derived from SPOT images were established. The multivariate model takes into consideration the wavelength-dependent combined effect of individual seawater constituents on the sea surface reflectance and is superior over the univariate model. Finally, quantitative coastal water quality mapping was accomplished by substituting the pixel-specific spectral reflectance into the multivariate water quality estimation model.
Keywords: Remote sensing; coastal water quality; environmental monitoring; water quality mapping^ Remote sensing; coastal water quality; environmental monitoring; water quality mapping^
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Su, Y.-F.; Liou, J.-J.; Hou, J.-C.; Hung, W.-C.; Hsu, S.-M.; Lien, Y.-T.; Su, M.-D.; Cheng, K.-S.; Wang, Y.-F. A Multivariate Model for Coastal Water Quality Mapping Using Satellite Remote Sensing Images. Sensors 2008, 8, 6321-6339.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert