4.6 Article

Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands

Journal

OPTICS EXPRESS
Volume 18, Issue 23, Pages 24109-24125

Publisher

OPTICAL SOC AMER
DOI: 10.1364/OE.18.024109

Keywords

-

Categories

Funding

  1. National Oceanic and Atmospheric Administration (NOAA)
  2. Office of Naval Research (CCNY group)
  3. National Aviation and Space Administration (NASA)
  4. University of Nebraska Agricultural Research Division, Lincoln (CALMIT group)

Ask authors/readers for more resources

Remote sensing algorithms that use red and NIR bands for the estimation of chlorophyll-a concentration [Chl] can be more effective in inland and coastal waters than algorithms that use blue and green bands. We tested such two-band and three-band red-NIR algorithms using comprehensive synthetic data sets of reflectance spectra and inherent optical properties related to various water parameters and a very consistent in situ data set from several lakes in Nebraska, USA. The two-band algorithms tested with MERIS bands were R-rs(708)/R-rs(665) and R-rs(753)/R-rs(665). The three-band algorithm with MERIS bands was in the form R3 = [R-rs(-1)(665) - Rrs(-1)(708)] x R-rs(753). It is shown that the relationships of both R-rs(708)/R-rs(665) and R3 with [Chl] do not depend much on the absorption by CDOM and non-algal particles, or the backscattering properties of water constituents, and can be defined in terms of water absorption coefficients at the respective bands as well as the phytoplankton specific absorption coefficient at 665 nm. The relationship of the latter with [Chl] was established for [Chl] > 1 mg/m(3) and then further used to develop algorithms which showed a very good match with field data and should not require regional tuning. (C) 2010 Optical Society of America

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available