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...

Full description

Bibliographic Details
Published in:International Journal of Remote Sensing
Language:English
Published: Taylor & Francis 2012
Subjects:
Online Access:http://hdl.handle.net/2262/65490
https://doi.org/10.1080/01431161.2010.540588
id fttrinitycoll:oai:tara.tcd.ie:2262/65490
record_format openpolar
spelling 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
institution 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