Tools
Tools
Lin, J, Lee, Z, Tilstone, GH, Liu, X, Wei, J, Ondrusek, M and Groom, SB 2023 Revised spectral optimization approach to remove surface-reflected radiance for the estimation of remote-sensing reflectance from the above-water method. Optics Express, 31 (14). 22964. https://doi.org/10.1364/OE.486981
|
Text
Lin_etal_OpticsExpress_2023.pdf - Published Version Available under License Creative Commons Attribution. Download (5MB) | Preview |
Abstract/Summary
The effective sea-surface skylight reflectance (ρ) is an important parameter for removing the contribution of surface-reflected radiance when measuring water-leaving radiance (Lw) using the above-water approach (AWA). Radiative simulations and field measurements show that ρ varies spectrally. To improve the determination of Lw (and then remote sensing reflectance, Rrs) from the AWA, we further developed a wavelength-dependent model for ρ to remove surface-reflected radiance, which is applied with a spectral optimization approach for the determination of Rrs. Excellent agreement was achieved between the AWA-derived and skylight-blocked approach (SBA)-obtained Rrs (coefficient of determination > 0.92, mean absolute percentage deviation < ∼ 11% for Rrs > 0.0005 sr−1 ), even during high wave conditions. We found that the optimization approach with the new ρ model worked very well for a wide range of water types and observation geometries. For developing remote sensing algorithms and evaluating satellite products, it would be beneficial to apply this approach to current and historical above-water in situ measurements of Rrs to improve the quality of these data. In addition, this approach could also increase the number of useable spectra where previously rendered unusable when processed with a traditional scheme
| Item Type: | Publication - Article |
|---|---|
| Divisions: | Plymouth Marine Laboratory > National Capability categories > Atlantic Meridional Transect |
| Depositing User: | S Hawkins |
| Date made live: | 06 Jul 2023 13:52 |
| Last Modified: | 06 Jul 2023 14:01 |
| URI: | https://plymsea.ac.uk/id/eprint/9984 |
Actions (login required)
 |
View Item |