Abstract
Originalsprog | Engelsk |
---|---|
Tidsskrift | International Journal of Remote Sensing |
Vol/bind | 25 |
Udgave nummer | 22 |
Sider (fra-til) | 5117-5130 |
ISSN | 0143-1161 |
DOI | |
Status | Udgivet - 2004 |
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Parameterization of the chlorophyll a-specific in vivo light absorption coefficient covering estuarine, coastal and oceanic waters. / Stæhr, P. A.; Markager, S.
I: International Journal of Remote Sensing, Bind 25, Nr. 22, 2004, s. 5117-5130.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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TY - JOUR
T1 - Parameterization of the chlorophyll a-specific in vivo light absorption coefficient covering estuarine, coastal and oceanic waters
AU - Stæhr, P. A.
AU - Markager, S.
PY - 2004
Y1 - 2004
N2 - We evaluated models predicting the spectral chlorophyll-a (Chl a)-specific absorption coefficient (a*ph (¿)) from Chl a concentration [Chl a] on the basis of 465 phytoplankton absorption spectra collected in estuarine, coastal and oceanic waters. A power model on ln-transformed data provided the best model fit compared to a power model on non-transformed data previously applied to parameterize the relationship between a*ph (¿) and [Chl a]. The variation in a*ph (¿) was parameterized over four orders of magnitude in [Chl a] (0.01-100 mg Chl a m-3) producing a 13-fold range in a*ph (0.19 to 0.015 m2 mg-1 Chl a) at 440 nm, the peak absorption of Chl a in the blue part of the spectrum. The variations in the modelled a*ph spectra were within realistic predictions of a*ph (¿) and the model satisfactorily reproduced the spectral flattening with increasing [Chl a]. The parameterization of a*ph (¿) confirmed the indirect dependency of a*ph (¿) on [Chl a] through co-variations between [Chl a] with pigment packaging and pigment composition. Although pigment packaging determined the spectral flattening, analysis of absorption ratios revealed a systematic change in pigment composition with profound influence on the variability of a*ph in the 440 to 495 nm region. Modelled spectra deviated by approximately 20% from the measured spectra on average and model accuracy was independent of [Chl a]. Although the model cannot fully replace spectral measurements of phytoplankton absorption, it does permit realistic reconstructions of a*ph (¿) from simple measurements of [Chl a] sampled in estuarine, coastal and oceanic waters.
AB - We evaluated models predicting the spectral chlorophyll-a (Chl a)-specific absorption coefficient (a*ph (¿)) from Chl a concentration [Chl a] on the basis of 465 phytoplankton absorption spectra collected in estuarine, coastal and oceanic waters. A power model on ln-transformed data provided the best model fit compared to a power model on non-transformed data previously applied to parameterize the relationship between a*ph (¿) and [Chl a]. The variation in a*ph (¿) was parameterized over four orders of magnitude in [Chl a] (0.01-100 mg Chl a m-3) producing a 13-fold range in a*ph (0.19 to 0.015 m2 mg-1 Chl a) at 440 nm, the peak absorption of Chl a in the blue part of the spectrum. The variations in the modelled a*ph spectra were within realistic predictions of a*ph (¿) and the model satisfactorily reproduced the spectral flattening with increasing [Chl a]. The parameterization of a*ph (¿) confirmed the indirect dependency of a*ph (¿) on [Chl a] through co-variations between [Chl a] with pigment packaging and pigment composition. Although pigment packaging determined the spectral flattening, analysis of absorption ratios revealed a systematic change in pigment composition with profound influence on the variability of a*ph in the 440 to 495 nm region. Modelled spectra deviated by approximately 20% from the measured spectra on average and model accuracy was independent of [Chl a]. Although the model cannot fully replace spectral measurements of phytoplankton absorption, it does permit realistic reconstructions of a*ph (¿) from simple measurements of [Chl a] sampled in estuarine, coastal and oceanic waters.
U2 - 10.1080/01431160410001716932
DO - 10.1080/01431160410001716932
M3 - Journal article
VL - 25
SP - 5117
EP - 5130
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
SN - 0143-1161
IS - 22
ER -