FN Archimer Export Format
PT J
TI Evaluation of empirical and semi-analytical chlorophyll algorithms in the Ligurian and North Tyrrhenian Seas
BT 
AF LAPUCCI, Chiara
   RELLA, Marina Ampolo
   BRANDINI, Carlo
   GANZIN, Nicolas
   GOZZINI, Bernardo
   MASELLI, Fabio
   MASSI, Luca
   NUCCIO, Caterina
   ORTOLANI, Alberto
   TREES, Charles
AS 1:1,2;2:5;3:1,2;4:3;5:1,2;6:1,2;7:4;8:4;9:1,2;10:6;
FF 1:;2:;3:;4:PDG-ODE-LER-LERPAC;5:;6:;7:;8:;9:;10:;
C1 Natl Council Res IBIMET CNR, Inst BioMeteorol, I-50145 Florence, Italy.
   Lab Meteorol & Environm Modelling LaMM, I-50019 Florence, Italy.
   IFREMER LER PAC, F-83507 Toulon, France.
   Univ Florence, Lab Ecol & Fisiol Vegetale, Dipartimento Biol Evoluzionist, Florence, Italy.
   CMRE, Engn & Technol Dept, I-19126 La Spezia, Italy.
   CMRE, Remote Sensing Grp, I-19126 La Spezia, Italy.
C2 IBIMET, ITALY
   LAB METEOROL & ENVIRONM MODELLING, ITALY
   IFREMER, FRANCE
   UNIV FLORENCE, ITALY
   CMRE, ITALY
   CMRE, ITALY
SI TOULON
SE PDG-ODE-LER-LERPAC
IN WOS Ifremer jusqu'en 2018
   copubli-europe
IF 0.88
TC 17
UR https://archimer.ifremer.fr/doc/00109/21991/19795.pdf
LA English
DT Article
DE ;chlorophyll;algorithm;moderate resolution imaging spectroradiometer;Tyrrhenian Sea;Ligurian Sea
AB 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]
PY 2012
PD SEP
SO Journal Of Applied Remote Sensing
SN 1931-3195
PU Spie-soc Photo-optical Instrumentation Engineers
VL 6
IS 1
UT 000310698800001
DI 10.1117/1.JRS.6.063565
ID 21991
ER

EF