A coupled oceanic and atmospheric spectral optimization algorithm for application to ocean color satellites: sensitivity to near-infrared error

2005 ◽  
Author(s):  
Christopher P. Kuchinke ◽  
Howard R. Gordon ◽  
Kenneth J. Voss
2021 ◽  
Vol 260 ◽  
pp. 112439
Author(s):  
Brian B. Barnes ◽  
Chuanmin Hu ◽  
Sean W. Bailey ◽  
Nima Pahlevan ◽  
Bryan A. Franz

Author(s):  
Andy Dong ◽  
Alice M. Agogino

Abstract In design synthesis, engineering prototypes make an ideal representation medium for preliminary designs. Unlike parametric design wherein a pre-specified design is parametrically varied, design synthesis demands artistic creativity and engineering experience to transform the previously known components, relationships and designs into a new form. The process compels the designer to ascertain which prototypes will, in some sense, best satisfy the design task. The challenge in this assignment lies in selecting the “right” design prototype. This selection process typically entails an objective evaluation of different designs that perform the same functions or have similar intended behavior and comparing trade-offs between alternate designs. This paper introduces a multi-objective spectral optimization algorithm for the selection of design prototypes based upon their functional representations. The optimization algorithm returns an index of rank, scoring the functional similarity of the proposed design to the goal design. Two illustrative examples apply the algorithm to the selection of a heat fin and beam.


2022 ◽  
Vol 14 (2) ◽  
pp. 386
Author(s):  
Léa Schamberger ◽  
Audrey Minghelli ◽  
Malik Chami ◽  
François Steinmetz

The invasive species of brown algae Sargassum gathers in large aggregations in the Caribbean Sea, and has done so especially over the last decade. These aggregations wash up on shores and decompose, leading to many socio-economic issues for the population and the coastal ecosystem. Satellite ocean color data sensors such as Sentinel-3/OLCI can be used to detect the presence of Sargassum and estimate its fractional coverage and biomass. The derivation of Sargassum presence and abundance from satellite ocean color data first requires atmospheric correction; however, the atmospheric correction procedure that is commonly used for oceanic waters needs to be adapted when dealing with the occurrence of Sargassum because the non-zero water reflectance in the near infrared band induced by Sargassum optical signature could lead to Sargassum being wrongly identified as aerosols. In this study, this difficulty is overcome by interpolating aerosol and sunglint reflectance between nearby Sargassum-free pixels. The proposed method relies on the local homogeneity of the aerosol reflectance between Sargassum and Sargassum-free areas. The performance of the adapted atmospheric correction algorithm over Sargassum areas is evaluated. The proposed method is demonstrated to result in more plausible aerosol and sunglint reflectances. A reduction of between 75% and 88% of pixels showing a negative water reflectance above 600 nm were noticed after the correction of the several images.


2011 ◽  
Author(s):  
Zhongping Lee ◽  
Bryan Franz ◽  
Shaoling Shang ◽  
Qiang Dong ◽  
Robert Arnone

2010 ◽  
Vol 18 (7) ◽  
pp. 7521 ◽  
Author(s):  
Sean W. Bailey ◽  
Bryan A. Franz ◽  
P. Jeremy Werdell

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