Results 221 to 230 of about 60,400 (258)
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2013
The next time you fly over the ocean, look out the airplane window and observe what is beneath you. The water will appear dark blue when flying over the clean, deep, open ocean; greenish when closer to shore; and yellowish or almost dark brown in color closer to cities, where the water becomes dirty.
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The next time you fly over the ocean, look out the airplane window and observe what is beneath you. The water will appear dark blue when flying over the clean, deep, open ocean; greenish when closer to shore; and yellowish or almost dark brown in color closer to cities, where the water becomes dirty.
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Impact of sea ice on ocean color remote sensing
SPIE Proceedings, 2005We study two types of contamination of Ocean Color data related to the presence of sea ice. The first type, referred to as the adjacency effect, is the contamination of the radiance from the intended target by photons scattered in atmosphere towards the sensor but originating from a bright object such as sea ice nearby the target.
Simon Belanger, Jens Ehn, Marcel Babin
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Field Radiometry and Ocean Color Remote Sensing
2010Since the early 1980s, with the onset of missions for global mapping of marine biomass, accurate in-situ radiometric data has become a pressing need to support satellite ocean color applications. This work presents a brief introduction to in-situ marine optical radiometry through an overview of absolute calibration, measurement methods, uncertainties ...
Giuseppe Zibordi, Kenneth J. Voss
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Ocean Color Remote Sensing Systems: Radiometric Requirements
SPIE Proceedings, 1988A methodology for specifying the radiometric requirements for ocean color remote sensing systems is described. Consideration is given to the noise equivalent radiance, the saturation radiance, the polarization sensitivity, and the calibration and stability. The degree of polarization across a scan line for the CZCS and MODIS orbits is presented.
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A stochastic technique for remote sensing of ocean color
SPIE Proceedings, 2006Remote sensing of ocean color from space aims at retrieving from a noisy top-of-atmosphere radiance the values taken by some relevant quantities like the chlorophyll-a concentration or the marine reflectance. From a mathematical perspective, it is an ill-posed inverse problem with a highly nonlinear operator. Few techniques are available in
Frouin, Robert, Pelletier, Bruno
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Noise and model uncertainties in ocean color remote sensing
SPIE Proceedings, 2009The performance of ocean color inversion algorithms is strongly impacted by the various sources of uncertainties, including measurement noise, calibration noise, pre-processing and radiation transfer modeling uncertainties. In this work, an attempt at assessing the overall departure of theory from measurements is conducted based on an in-situ ...
Frouin, Robert, Pelletier, Bruno
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Ocean Color Remote Sensing of Atypical Marine Optical Cases
IEEE Transactions on Geoscience and Remote Sensing, 2016This study investigates how the number of data collected for algorithm development in typical case-1 waters and optically complex cases can affect the remote sensing of ocean color (OC) products. Marine conditions dominated by the colored dissolved organic matter (CDOM) and nonalgal particles are considered.
Davide D'Alimonte +2 more
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Estimating oceanic primary productivity from ocean color remote sensing: A strategic assessment
Journal of Marine Systems, 2015It has long been realized that approaches using satellite ocean-color remote sensing are the only feasible means to quantify primary productivity (PP) adequately for the global ocean. Through decades of dedicated efforts and with the help of various satellite ocean-color missions, great progresses have been achieved in obtaining global PP as well as ...
Zhongping Lee +3 more
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A Small Autonomous Surface Vehicle for Ocean Color Remote Sensing
IEEE Journal of Oceanic Engineering, 2007This paper provides a study on the development and the use of a small autonomous surface vehicle (ASV) that automatically follows programmed mission transects, while measuring sensor outputs along the tracks. It discusses the mechanical construction of the ASV, the distributed architecture of controller area network (CAN)-based nodes for science and ...
Desa, E.S. +11 more
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Applying artificial neural network methodology to ocean color remote sensing
Ecological Modelling, 1999Artificial neural networks (ANN) are widely used as continuous models to fit non-linear transfer functions. In this study we used ANN to retrieve chlorophyll pigments in the near-surface of oceans from Ocean Color measurements. This bio-optical inversion is established by analyzing concomitant sun-light spectral reflectances over the ocean surface and ...
Lidwine Gross +2 more
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