Research Papers

Evaluation of empirical and semi-analytical chlorophyll algorithms in the Ligurian and North Tyrrhenian Seas

[+] Author Affiliations
Chiara Lapucci

Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Via G. Caproni, 8, 50145 Firenze, Italy

Laboratory for Meteorology and Environmental Modelling (LaMMA), Via Madonna del Piano 10, 50019 Florence, Italy

Marina Ampolo Rella

Center for Maritime Research and Experimentation (CMRE), Engineering and Technology Department, Viale S. Bartolomeo 400, 19126 La Spezia, Italy

Carlo Brandini

Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Via G. Caproni, 8, 50145 Firenze, Italy

Laboratory for Meteorology and Environmental Modelling (LaMMA), Via Madonna del Piano 10, 50019 Florence, Italy

Nicolas Ganzin

IFREMER LER/PAC, La Seyne sur Mer, Toulon F-83507, France

Bernardo Gozzini

Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Via G. Caproni, 8, 50145 Firenze, Italy

Laboratory for Meteorology and Environmental Modelling (LaMMA), Via Madonna del Piano 10, 50019 Florence, Italy

Fabio Maselli

Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Via G. Caproni, 8, 50145 Firenze, Italy

Laboratory for Meteorology and Environmental Modelling (LaMMA), Via Madonna del Piano 10, 50019 Florence, Italy

Luca Massi, Caterina Nuccio

Università di Firenze, Laboratorio di Ecologia e Fisiologia Vegetale Dipartimento di Biologia Evoluzionistica, Via Micheli, 1, Florence, Italy

Alberto Ortolani

Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Via G. Caproni, 8, 50145 Firenze, Italy

Laboratory for Meteorology and Environmental Modelling (LaMMA), Via Madonna del Piano 10, 50019 Florence, Italy

Charles Trees

Center for Maritime Research and Experimentation (CMRE), Remote Sensing Group, Viale S. Bartolomeo 400, 19126 La Spezia, Italy

J. Appl. Remote Sens. 6(1), 063565 (Sep 21, 2012). doi:10.1117/1.JRS.6.063565
History: Received March 20, 2012; Revised August 9, 2012; Accepted August 10, 2012
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Abstract.  The estimation of chlorophyll concentration in marine waters is fundamental for a number of scientific and practical purposes. Standard ocean color algorithms applicable to moderate resolution imaging spectroradiometer (MODIS) imagery, such as OC3M and MedOC3, are known to overestimate chlorophyll concentration ([CHL]) in Mediterranean oligotrophic waters. The performances of these algorithms are currently evaluated together with two relatively new algorithms, OC5 and SAM_LT, which make use of more of the spectral information of MODIS data. This evaluation exercise has been carried out using in situ data collected in the North Tyrrhenian and Ligurian Seas during three recent oceanographic campaigns. The four algorithms perform differently in Case 1 and Case 2 waters defined following global and local classification criteria. In particular, the mentioned [CHL] overestimation of OC3M and MedOC3 is not evident for typical Case 1 waters; this overestimation is instead significant in intermediate and Case 2 waters. OC5 and SAM_LT are less sensitive to this problem, and are generally more accurate in Case 2 waters. These results are finally interpreted and discussed in light of a possible operational utilization of the [CHL] estimation methods.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Chiara Lapucci ; Marina Ampolo Rella ; Carlo Brandini ; Nicolas Ganzin ; Bernardo Gozzini, et al.
"Evaluation of empirical and semi-analytical chlorophyll algorithms in the Ligurian and North Tyrrhenian Seas", J. Appl. Remote Sens. 6(1), 063565 (Sep 21, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063565


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