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

Type Article
Date 2012-09
Language English
Author(s) Lapucci Chiara1, 2, Rella Marina Ampolo5, Brandini Carlo1, 2, Ganzin Nicolas3, Gozzini Bernardo1, 2, Maselli Fabio1, 2, Massi Luca4, Nuccio Caterina4, Ortolani Alberto1, 2, Trees Charles6
Affiliation(s) 1 : Natl Council Res IBIMET CNR, Inst BioMeteorol, I-50145 Florence, Italy.
2 : Lab Meteorol & Environm Modelling LaMM, I-50019 Florence, Italy.
3 : IFREMER LER PAC, F-83507 Toulon, France.
4 : Univ Florence, Lab Ecol & Fisiol Vegetale, Dipartimento Biol Evoluzionist, Florence, Italy.
5 : CMRE, Engn & Technol Dept, I-19126 La Spezia, Italy.
6 : CMRE, Remote Sensing Grp, I-19126 La Spezia, Italy.
Source Journal Of Applied Remote Sensing (1931-3195) (Spie-soc Photo-optical Instrumentation Engineers), 2012-09 , Vol. 6 , N. 1
DOI 10.1117/1.JRS.6.063565
WOS© Times Cited 17
Keyword(s) chlorophyll, algorithm, moderate resolution imaging spectroradiometer, Tyrrhenian Sea, Ligurian Sea
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. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.063565]
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Lapucci Chiara, Rella Marina Ampolo, Brandini Carlo, Ganzin Nicolas, Gozzini Bernardo, Maselli Fabio, Massi Luca, Nuccio Caterina, Ortolani Alberto, Trees Charles (2012). Evaluation of empirical and semi-analytical chlorophyll algorithms in the Ligurian and North Tyrrhenian Seas. Journal Of Applied Remote Sensing, 6(1). Publisher's official version : https://doi.org/10.1117/1.JRS.6.063565 , Open Access version : https://archimer.ifremer.fr/doc/00109/21991/