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作者机构:Univ Nova Lisboa Fac Ciencias & Tecnol Dept Informat Ctr Inteligencia Artificial Quinta Da Torre Caparica Portugal Ukrainian Natl Acad Sci Marine Hydrophys Inst Sevastopol Ukraine Commiss European Communities Joint Res Ctr Inst Environm & Sustainabil I-21020 Ispra Italy Univ Nova Lisboa Fac Ciencias & Tecnol Dept Informat Ctr Informat & Tecnol Informacao Quinta Da Torre Caparica Portugal
出 版 物:《OPTICS EXPRESS》 (Opt. Express)
年 卷 期:2013年第21卷第23期
页 面:27707-27733页
核心收录:
学科分类:070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学]
基 金:European Space Agency within the framework of the MERIS Validation Activities [12595/09/I-OL] "Faculdade de Ciencias e Tecnologia" of the "Universidade Nova de Lisboa" [21653/08/I-OL] Institute for Environment and Sustainability of the Joint Research Centre NATO Science for Peace and Security Program
主 题:Absorption coefficient Attenuation coefficient Computation methods Light focusing Radiative transfer Surface waves
摘 要:This study addresses the regression of in-water radiometric profile data with the objective of investigating solutions to minimize uncertainties of derived products like subsurface radiance and irradiance (L-u0 and E-d0) and diffuse attenuation coefficients. Analyses are conducted using radiometric profiles generated through Monte Carlo simulations and field measurements. A nonlinear NL approach is presented as an alternative to the standard linear method LN. Results indicate that the LN method, relying on log-transformed data, tends to underestimate regression results with respect to NL operating on non-transformed data. The log-transformation is thus identified as the source of biases in data products. Observed differences between LN and NL regression results for Lu0 are of the order of 1-2%, that is well below the target uncertainty for data products from in situ measurements (i.e., 5%). For Ed0, instead, differences can easily exceed 5% as a result of more pronounced light focusing and defocusing effects due to wave perturbations. This work also remarks the importance of applying the multi-cast measurement scheme as a mean to increase the precision of data products. (C) 2013 Optical Society of America