Remotely sensed assessment of water quality levels in the Pearl River Estuary, China
(2007) In Marine Pollution Bulletin 54(8). p.1267-1272- Abstract
- In this paper, a method of assessing water quality from satellite data is introduced. The composite pollution index (CPI) was calculated from measured chemical oxygen demand (COD) and nutrient concentration. The relationships between CPI and 240 band combinations of SeaWiFS water-leaving radiance were analyzed and the optimal band combination for estimating CPI was chosen from the 240 band combinations. An algorithm for retrieval of CPI was developed using the optimal band combination, (L-443 x L-510)/ (L-412 + L-490). The CPI was estimated from atmospherically corrected SeaWiFS data by employing the algorithm. Furthermore, the CPI value range for each water quality level was determined based on data obtained from 850 samples taken in the... (More)
- In this paper, a method of assessing water quality from satellite data is introduced. The composite pollution index (CPI) was calculated from measured chemical oxygen demand (COD) and nutrient concentration. The relationships between CPI and 240 band combinations of SeaWiFS water-leaving radiance were analyzed and the optimal band combination for estimating CPI was chosen from the 240 band combinations. An algorithm for retrieval of CPI was developed using the optimal band combination, (L-443 x L-510)/ (L-412 + L-490). The CPI was estimated from atmospherically corrected SeaWiFS data by employing the algorithm. Furthermore, the CPI value range for each water quality level was determined based on data obtained from 850 samples taken in the Pearl River Estuary. The remotely sensed CPIs were then transferred to water quality levels and appropriate maps were derived. The remotely sensed water quality level maps displayed a similar distribution of levels based on in situ investigation issued by the State Ocean Administration, China. This study demonstrates that remote sensing can play an important role in water quality assessment. (C) 2007 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/657089
- author
- Chen, Chuqun ; Tang, Shiling ; Pan, Zhilin ; Zhan, Haigang ; Larson, Magnus LU and Jönsson, Lennart LU
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- water quality level, remote sensing, assessment, pearl river estuary
- in
- Marine Pollution Bulletin
- volume
- 54
- issue
- 8
- pages
- 1267 - 1272
- publisher
- Elsevier
- external identifiers
-
- wos:000249162300031
- scopus:34447645994
- ISSN
- 1879-3363
- DOI
- 10.1016/j.marpolbul.2007.03.010
- language
- English
- LU publication?
- yes
- id
- b2ab6bbd-b1c5-4de3-82ce-d1bf868b9c53 (old id 657089)
- date added to LUP
- 2016-04-01 16:55:59
- date last changed
- 2022-02-13 01:32:57
@article{b2ab6bbd-b1c5-4de3-82ce-d1bf868b9c53,
abstract = {{In this paper, a method of assessing water quality from satellite data is introduced. The composite pollution index (CPI) was calculated from measured chemical oxygen demand (COD) and nutrient concentration. The relationships between CPI and 240 band combinations of SeaWiFS water-leaving radiance were analyzed and the optimal band combination for estimating CPI was chosen from the 240 band combinations. An algorithm for retrieval of CPI was developed using the optimal band combination, (L-443 x L-510)/ (L-412 + L-490). The CPI was estimated from atmospherically corrected SeaWiFS data by employing the algorithm. Furthermore, the CPI value range for each water quality level was determined based on data obtained from 850 samples taken in the Pearl River Estuary. The remotely sensed CPIs were then transferred to water quality levels and appropriate maps were derived. The remotely sensed water quality level maps displayed a similar distribution of levels based on in situ investigation issued by the State Ocean Administration, China. This study demonstrates that remote sensing can play an important role in water quality assessment. (C) 2007 Elsevier Ltd. All rights reserved.}},
author = {{Chen, Chuqun and Tang, Shiling and Pan, Zhilin and Zhan, Haigang and Larson, Magnus and Jönsson, Lennart}},
issn = {{1879-3363}},
keywords = {{water quality level; remote sensing; assessment; pearl river estuary}},
language = {{eng}},
number = {{8}},
pages = {{1267--1272}},
publisher = {{Elsevier}},
series = {{Marine Pollution Bulletin}},
title = {{Remotely sensed assessment of water quality levels in the Pearl River Estuary, China}},
url = {{http://dx.doi.org/10.1016/j.marpolbul.2007.03.010}},
doi = {{10.1016/j.marpolbul.2007.03.010}},
volume = {{54}},
year = {{2007}},
}