Standard surface-reflectance model and illuminant estimation

Abstract. The Medium Resolution Imaging Spectrometer (MERIS) launched in February 2002 on-board the ENVISAT spacecraft is making global observations of top-of-atmosphere (TOA) radiances. Aerosol optical properties are retrieved over land using Look-Up Table (LUT) based algorithm and surface reflectances in the blue and the red spectral regions. We compared instantaneous aerosol optical thicknesses retrieved by MERIS in the blue and the red at locations containing sites within the Aerosol Robotic Network (AERONET). Between 2002 and 2005, a set of 500 MERIS images were used in this study. The result shows that, over land, MERIS aerosol optical thicknesses are well retrieved in the blue and poorly retrieved in the red, leading to an underestimation of the Angstrom coefficient. Correlations are improved by applying a simple criterion to avoid scenes probably contaminated by thin clouds. To investigate the weakness of the MERIS algorithm, ground-based radiometer measurements have been used in order to retrieve new aerosol models, based on their Inherent Optical Properties (IOP). These new aerosol models slightly improve the correlation, but the main problem of the MERIS aerosol product over land can be attributed to the surface reflectance model in the red.

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On-orbit vicarious calibration of ocean color sensors using an ocean surface reflectance model

Applied Optics ◽

10.1364/ao.46.005649 ◽

2007 ◽

Vol 46 (23) ◽

pp. 5649 ◽

Cited By ~ 24

Author(s):

P. Jeremy Werdell ◽

Sean W. Bailey ◽

Bryan A. Franz ◽

André Morel ◽

Charles R. McClain

Keyword(s):

Ocean Color ◽

Ocean Surface ◽

Surface Reflectance ◽

Vicarious Calibration ◽

Reflectance Model ◽

Color Sensors

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Scaling and discriminability of perceived gloss

10.31234/osf.io/jcxvr ◽

2020 ◽

Author(s):

Jacob Raleigh Cheeseman ◽

James A. Ferwerda ◽

Frank J. Maile ◽

Roland Fleming

Keyword(s):

Maximum Likelihood ◽

Visual Sensitivity ◽

Surface Reflectance ◽

Natural Illumination ◽

Specular Reflectance ◽

Reflectance Model ◽

Perceptual Scale ◽

Method Of Constant Stimuli

While much attention has been given to understanding biases in gloss perception (e.g., changes in perceived reflectance as a function of lighting, shape, viewpoint and other factors), here we investigated sensitivity to changes in surface reflectance. We tested how visual sensitivity to differences in specular reflectance varies as a function of the magnitude of specular reflectance. Stimuli consisted of renderings of glossy objects under natural illumination. Using Maximum Likelihood Difference Scaling, we created a perceptual scaling of the specular reflectance parameter of the Ward reflectance model. Then, using the Method of Constant Stimuli and a standard 2AFC procedure, we obtained psychometric functions for gloss discrimination across a range of reflectance values derived from the perceptual scale. Both methods demonstrate that discriminability is significantly diminished at high levels of specular reflectance, suggesting that gloss sensitivity depends on the magnitude of change in the image produced by different reflectance values.

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A surface reflectance model for aerosol remote sensing over land

International Journal of Remote Sensing ◽

10.1080/01431160600821028 ◽

2007 ◽

Vol 28 (3-4) ◽

pp. 737-760 ◽

Cited By ~ 18

Author(s):

R. Santer ◽

D. Ramon ◽

J. Vidot ◽

E. Dilligeard

Keyword(s):

Remote Sensing ◽

Surface Reflectance ◽

Reflectance Model ◽

Aerosol Remote Sensing

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Surface reflectance model of forests with a consideration of interactions among trees in terms of multiple reflections by means of Monte-Carlo simulations together with experiments

Journal of the Japan society of photogrammetry and remote sensing ◽

10.4287/jsprs.45.6_56 ◽

2006 ◽

Vol 45 (6) ◽

pp. 56-66 ◽

Cited By ~ 1

Author(s):

Kohei ARAI ◽

Yaliu DING

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Surface Reflectance ◽

Multiple Reflections ◽

Reflectance Model

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Evaluation of the MERIS aerosol product over land with AERONET

Atmospheric Chemistry and Physics ◽

10.5194/acp-8-7603-2008 ◽

2008 ◽

Vol 8 (24) ◽

pp. 7603-7617 ◽

Cited By ~ 21

Author(s):

J. Vidot ◽

R. Santer ◽

O. Aznay

Keyword(s):

Optical Properties ◽

Surface Reflectance ◽

Aerosol Optical Properties ◽

Simple Criterion ◽

Imaging Spectrometer ◽

Inherent Optical Properties ◽

Look Up Table ◽

Medium Resolution ◽

Reflectance Model ◽

Resolution Imaging

Abstract. The Medium Resolution Imaging Spectrometer (MERIS) launched in February 2002 on-board the ENVISAT spacecraft is making global observations of top-of-atmosphere (TOA) radiances. Aerosol optical properties are retrieved over land using Look-Up Table (LUT) based algorithm and surface reflectances in the blue and the red spectral regions. We compared instantaneous aerosol optical thicknesses retrieved by MERIS in the blue and the red at locations containing sites within the Aerosol Robotic Network (AERONET). Between 2002 and 2005, a set of 500 MERIS images were used in this study. The result shows that, over land, MERIS aerosol optical thicknesses are well retrieved in the blue and poorly retrieved in the red, leading to an underestimation of the Angstrom coefficient. Correlations are improved by applying a simple criterion to avoid scenes probably contaminated by thin clouds. To investigate the weakness of the MERIS algorithm, ground-based radiometer measurements have been used in order to retrieve new aerosol models, based on their Inherent Optical Properties (IOP). These new aerosol models slightly improve the correlation, but the main problem of the MERIS aerosol product over land can be attributed to the surface reflectance model in the red.

Download Full-text