Estimating ultraviolet reflectance from visible bands in ocean colour remote sensing

In recent years, ultraviolet (UV) bands have received increasing attention from the ocean colour remote sensing community, as they may contribute to improving atmospheric correction and inherent optical properties (IOPs) retrieval. However, most satellite sensors do not UV bands, accurate retrieval of reflectance (Rrs) data is still a challenge. order address this problem, study proposes hybrid approach for estimating Rrs visible bands. The was implemented with two popular sensors, i.e. GCOM-C SGLI Sentinel-3 OLCI. situ collected globally simulated spectra were used develop models, values at 360, 380 400 nm estimated spectra. performances established models evaluated using in data, applied semi-analytical algorithm IOPs results showed that: (i) had low uncertainties mean absolute percentage differences (MAPD) less than 5%; (ii) model assessment high accuracy (r = 0.92–1.00 MAPD 1.11%–10.95%) both clear open optically complex waters; (iii) indicated that model-estimated more consistent satellite-derived Rrs; (iv) improve decomposition absorption coefficients algorithm. Thus, proposed method has great potentials reconstructing historical might also be useful UV-based algorithms.