| one publication added to basket [257328] | Spectral relationships for atmospheric correction. I. Validation of red and near infra-red marine reflectance relationships
Goyens, C.; Jamet, C.; Ruddick, K. (2013). Spectral relationships for atmospheric correction. I. Validation of red and near infra-red marine reflectance relationships. Optics Express 21(18): 21162-21175. dx.doi.org/10.1364/OE.21.021162 In: Optics Express. Optical Society of America: Washington. e-ISSN 1094-4087, more |   |
| Authors | | Top | - Goyens, C.
- Jamet, C.
- Ruddick, K., more
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| Abstract | The present study provides an extensive overview of red and near infra-red (NIR) spectral relationships found in the literature and used to constrain red or NIR-modeling schemes in current atmospheric correction (AC) algorithms with the aim to improve water-leaving reflectance retrievals, rho(w)(lambda), in turbid waters. However, most of these spectral relationships have been developed with restricted datasets and, subsequently, may not be globally valid, explaining the need of an accurate validation exercise. Spectral relationships are validated here with turbid in situ data for rho(w)(lambda). Functions estimating rho(w)(lambda) in the red were only valid for moderately turbid waters (rho(w)(lambda(NIR)) < 3.10(-3)). In contrast, bounding equations used to limit rho(w)(667) retrievals according to the water signal at 555 nm, appeared to be valid for all turbidity ranges presented in the in situ dataset. In the NIR region of the spectrum, the constant NIR reflectance ratio suggested by Ruddick et al. (2006) (Limnol. Oceanogr. 51, 1167-1179), was valid for moderately to very turbid waters (rho(w)(lambda(NIR)) < 10(-2)) while the polynomial function, initially developed by Wang et al. (2012) (Opt. Express 20, 741-753) with remote sensing reflectances over the Western Pacific, was also valid for extremely turbid waters (rho(w)(lambda(NIR)) > 10(-2)). The results of this study suggest to use the red bounding equations and the polynomial NIR function to constrain red or NIR-modeling schemes in AC processes with the aim to improve rho(w)(lambda) retrievals where current AC algorithms fail. (C) 2013 Optical Society of America |
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