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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 28, Number 5 (2016)
Copyright(C) MYU K.K.
pp. 455-462
S&M1198 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2016.1301
Published: May 25, 2016

Using SPOT Images for Monitoring Water Quality of Reservoir [PDF]

Po-Hsien Hsu

(Received August 31, 2015; Accepted February 9, 2016)

Keywords: eutrophication, chlorophyll, transparency, total phosphorus, satellite image

Previously, most eutrophic parameters, i.e., chlorophyll, transparency, total phosphorus, of reservoirs were collected manually. Owing to limited budget and time required, the use of eutrophic parameters to reflect water quality was limited. Therefore, in this study, we employed a wide range of multispectral satellite images to carry out water quality monitoring and to understand water quality widely and quickly. To assess eutrophication of water, the most popular standards are the Organization for Economic Cooperation and Development (OECD) and Carlson criteria. In this study, near-infrared, red, and green wavelength spectra of Satellite Pour l’Observation de la Terre (SPOT) images were applied to monitor three parameters. Using ERDAS Imagine software (designed by ERDAS, Inc. for geospatial applications) for data analysis and then using the software of Statistical Product and Service Solutions (SPSS) to seek more appropriate regression formulas, the satellite image data were converted into water quality parameters on-site and used to judge the water quality by the criteria of OECD and Carlson indicators. By comparison, the results between collecting from satellite images and on-site by hand were quite similar except for total phosphorus, which might result from unsuitable wavelength spectra from SPOT. Further studies are necessary.

Corresponding author: Po-Hsien Hsu


Cite this article
Po-Hsien Hsu, Using SPOT Images for Monitoring Water Quality of Reservoir, Sens. Mater., Vol. 28, No. 5, 2016, p. 455-462.



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