Generalized ocean color inversion model for retrieving marine inherent optical properties.

By P. J. Werdell, B. Franz, S. Bailey, G. Feldman, Emmanuel S. Boss, Vittorio Ernesto Brando, M. Dowell, Takafumi Hirata, Samantha J. Lavender, Z. Lee and 9 more. Applied Optics, 2013

395 citations recorded by the source corpus.

Subfields: Ecology, Oceanography

View Paper: https://www.semanticscholar.org/paper/646866167a2cad584434067475c14b578239cf52

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Samantha J. Lavender

In Oceanography

1. Vanda Brotas
2. Samantha J. Lavender

Citations in the corpus

• An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI) (2019, methodology): “Therefore, there is scope for further improvements to the algorithms, possibly by exploiting systems such as the Generalised Inherent Optical Property framework [69].”
• Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets (2016, neutral): “Non-linear inversion of bio-optical models through the minimization of a cost function can provide an inversion confidence (e.g., Maritorena, Hembise Fanton d'Andon, Mangin, & Siegel, 2010; Salama, Dekker, Su, Mannaerts, & Verhoef, 2009; Werdell et al., 2013).”