An estuarine-tuned quasi-analytical algorithm (QAA-V): assessment and application to satellite estimates of SPM in Galveston Bay following Hurricane Harvey
Year: 2018
Type: article
Abstract: . The standard quasi-analytical algorithm (Lee et al., 2002) was tuned as QAA-V using a suite of synthetic data and in-situ measurements to improve its performance in optically complex and shallow estuarine waters. Two modifications were applied to the standard QAA: 1) a semi-analytical relationship for obtaining remote sensing reflectance just below water-surface as a function of absorption and backscattering coefficients was updated using Hydrolight® simulations, and 2) an empirical model of the total non-water absorption coefficient was proposed using a ratio of the green (Rrs551) to red (Rrs671) bands of VIIRS sensor, which is known to work well in various inland and estuarine environments. The QAA-V derived total absorption and backscattering coefficients, which were evaluated in a variety of waters ranging from the highly absorbing and turbid to relatively clear shelf waters, showed satisfactory performance on Hydrolight®-simulated synthetic dataset (R2 > 0.87, MRE 0.70, MRE 0.90, MRE
Source: Biogeosciences
Authors: Ishan D. Joshi, Eurico J. D'Sa
Institution: Louisiana State University
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Life below water
Open Access status: gold
Estimated APC paid: $1,628
OpenAlex ID: W2796478303
