Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms
Abstract Ocean colour imagery is used increasingly as a tool to assess water quality via chlorophyll-a concentration estimations in European waters. The Bay of Biscay is affected by major river discharges, which alter the constituents of the marine waters. Chlorophyll-a algorithms, designed for use...
Published in: | International Journal of Remote Sensing |
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2012
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Online Access: | http://hdl.handle.net/2262/65490 https://doi.org/10.1080/01431161.2010.540588 |
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fttrinitycoll:oai:tara.tcd.ie:2262/65490 2023-05-15T17:38:35+02:00 Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms 2012-10-24T01:50:22Z http://hdl.handle.net/2262/65490 https://doi.org/10.1080/01431161.2010.540588 en eng Taylor & Francis 0143-1161 (ISSN) http://hdl.handle.net/2262/65490 International Journal of Remote Sensing 32 23 8349 doi:10.1080/01431161.2010.540588 12 months Physical Sciences 2012 fttrinitycoll https://doi.org/10.1080/01431161.2010.540588 2020-02-16T13:54:03Z Abstract Ocean colour imagery is used increasingly as a tool to assess water quality via chlorophyll-a concentration estimations in European waters. The Bay of Biscay is affected by major river discharges, which alter the constituents of the marine waters. Chlorophyll-a algorithms, designed for use at global scales, are less accurate due to the variability of optically-active in- water constituents. Hence, regionally-parameterized empirical algorithms are necessary. The main objective of the present study was to develop a regional algorithm to retrieve chlorophyll-a concentration (Chla) in surface water using in-situ Remote Sensing Reflectance (Rrs), for a subsequent application to MERIS satellite images. To address this objective, a platform was developed initially and a measurement procedure adapted for the field HR4000CG Spectrometer. Subsequently, the procedure was tested during a survey over the southeastern Bay of Biscay (North-East Atlantic Ocean), to establish a MERIS Chla algorithm for the area, by comparing different global remote sensing Chla algorithms, with band ratios. Results validated with the jackknife resampling procedure show a satisfactory relationship between the 510/560 nm Rrs ratio (r2jac = 0.681). This ratio is better correlated to Chla than those obtained with established Chla remote sensing algorithms. High content in coloured dissolved organic matter (CDOM>0.4 m-1) and suspended particulate matter (SPM>2.8 mg.l-1) influenced this relationship, with yellow substances having a stronger effect. snovoa@azti.es (Novona, Stefani) Marine Research Division - Marine Research Division, AZTI-Tecnalia, Sukarrieta, Spain--> - Sukarrieta - SPAIN (Novona, Stefani) SPAIN Other/Unknown Material North East Atlantic The University of Dublin, Trinity College: TARA (Trinity's Access to Research Archive) International Journal of Remote Sensing 32 23 8349 8371 |
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Open Polar |
collection |
The University of Dublin, Trinity College: TARA (Trinity's Access to Research Archive) |
op_collection_id |
fttrinitycoll |
language |
English |
topic |
Physical Sciences |
spellingShingle |
Physical Sciences Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms |
topic_facet |
Physical Sciences |
description |
Abstract Ocean colour imagery is used increasingly as a tool to assess water quality via chlorophyll-a concentration estimations in European waters. The Bay of Biscay is affected by major river discharges, which alter the constituents of the marine waters. Chlorophyll-a algorithms, designed for use at global scales, are less accurate due to the variability of optically-active in- water constituents. Hence, regionally-parameterized empirical algorithms are necessary. The main objective of the present study was to develop a regional algorithm to retrieve chlorophyll-a concentration (Chla) in surface water using in-situ Remote Sensing Reflectance (Rrs), for a subsequent application to MERIS satellite images. To address this objective, a platform was developed initially and a measurement procedure adapted for the field HR4000CG Spectrometer. Subsequently, the procedure was tested during a survey over the southeastern Bay of Biscay (North-East Atlantic Ocean), to establish a MERIS Chla algorithm for the area, by comparing different global remote sensing Chla algorithms, with band ratios. Results validated with the jackknife resampling procedure show a satisfactory relationship between the 510/560 nm Rrs ratio (r2jac = 0.681). This ratio is better correlated to Chla than those obtained with established Chla remote sensing algorithms. High content in coloured dissolved organic matter (CDOM>0.4 m-1) and suspended particulate matter (SPM>2.8 mg.l-1) influenced this relationship, with yellow substances having a stronger effect. snovoa@azti.es (Novona, Stefani) Marine Research Division - Marine Research Division, AZTI-Tecnalia, Sukarrieta, Spain--> - Sukarrieta - SPAIN (Novona, Stefani) SPAIN |
title |
Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms |
title_short |
Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms |
title_full |
Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms |
title_fullStr |
Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms |
title_full_unstemmed |
Estimation of chlorophyll-a concentration in waters over the continental shelf of the Bay of Biscay: a comparison of remote sensing algorithms |
title_sort |
estimation of chlorophyll-a concentration in waters over the continental shelf of the bay of biscay: a comparison of remote sensing algorithms |
publisher |
Taylor & Francis |
publishDate |
2012 |
url |
http://hdl.handle.net/2262/65490 https://doi.org/10.1080/01431161.2010.540588 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_relation |
0143-1161 (ISSN) http://hdl.handle.net/2262/65490 International Journal of Remote Sensing 32 23 8349 doi:10.1080/01431161.2010.540588 |
op_rights |
12 months |
op_doi |
https://doi.org/10.1080/01431161.2010.540588 |
container_title |
International Journal of Remote Sensing |
container_volume |
32 |
container_issue |
23 |
container_start_page |
8349 |
op_container_end_page |
8371 |
_version_ |
1766139076433412096 |