Literature DB >> 20523701

Exact Rayleigh scattering calculations for use with the Nimbus-7 Coastal Zone Color Scanner.

H R Gordon, J W Brown, R H Evans.   

Abstract

For improved analysis of Coastal Zone Color Scanner (CZCS) imagery, the radiance reflected from a planeparallel atmosphere and flat sea surface in the absence of aerosols (Rayleigh radiance) has been computed with an exact multiple scattering code, i.e., including polarization. The results indicate that the single scattering approximation normally used to compute this radiance can cause errors of up to 5% for small and moderate solar zenith angles. At large solar zenith angles, such as encountered in the analysis of high-latitude imagery, the errors can become much larger, e.g.,>10% in the blue band. The single scattering error also varies along individual scan lines. Comparison with multiple scattering computations using scalar transfer theory, i.e., ignoring polarization, show that scalar theory can yield errors of approximately the same magnitude as single scattering when compared with exact computations at small to moderate values of the solar zenith angle. The exact computations can be easily incorporated into CZCS processing algorithms, and, for application to future instruments with higher radiometric sensitivity, a scheme is developed with which the effect of variations in the surface pressure could be easily and accurately included in the exact computation of the Rayleigh radiance. Direct application of these computations to CZCS imagery indicates that accurate atmospheric corrections can be made with solar zenith angles at least as large as 65 degrees and probably up to at least 70 degrees with a more sensitive instrument. This suggests that the new Rayleigh radiance algorithm should produce more consistent pigment retrievals, particularly at high latitudes.

Year:  1988        PMID: 20523701     DOI: 10.1364/AO.27.000862

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  6 in total

1.  Assessing onset and length of greening period in six vegetation types in Oaxaca, Mexico, using NDVI-precipitation relationships.

Authors:  L Gómez-Mendoza; L Galicia; M L Cuevas-Fernández; V Magaña; G Gómez; J L Palacio-Prieto
Journal:  Int J Biometeorol       Date:  2008-02-26       Impact factor: 3.787

2.  Long-term evaluation of three satellite ocean color algorithms for identifying harmful algal blooms (Karenia brevis) along the west coast of Florida: A matchup assessment.

Authors:  Gustavo A Carvalho; Peter J Minnett; Viva F Banzon; Warner Baringer; Cynthia A Heil
Journal:  Remote Sens Environ       Date:  2011-01-17       Impact factor: 10.164

3.  Evaluating the consistency of the 1982-1999 NDVI trends in the Iberian Peninsula across four time-series derived from the AVHRR sensor: LTDR, GIMMS, FASIR, and PAL-II.

Authors:  Domingo Alcaraz-Segura; Elisa Liras; Siham Tabik; José Paruelo; Javier Cabello
Journal:  Sensors (Basel)       Date:  2010-02-08       Impact factor: 3.576

4.  Long-term Satellite NDVI Data Sets: Evaluating Their Ability to Detect Ecosystem Functional Changes in South America.

Authors:  Germán Baldi; Marcelo D Nosetto; Roxana Aragón; Fernando Aversa; José M Paruelo; Esteban G Jobbágy
Journal:  Sensors (Basel)       Date:  2008-09-03       Impact factor: 3.576

5.  Spatiotemporal distribution of grassland NPP in Gansu province, China from 1982 to 2011 and its impact factors.

Authors:  Meiling Zhang; Xiaoni Liu; Stephen Nazieh; Xingyu Wang; Teddy Nkrumah; Shanglang Hong
Journal:  PLoS One       Date:  2020-11-23       Impact factor: 3.240

6.  Estimation of Chlorophyll-a Concentration and the Trophic State of the Barra Bonita Hydroelectric Reservoir Using OLI/Landsat-8 Images.

Authors:  Fernanda Sayuri Yoshino Watanabe; Enner Alcântara; Thanan Walesza Pequeno Rodrigues; Nilton Nobuhiro Imai; Cláudio Clemente Faria Barbosa; Luiz Henrique da Silva Rotta
Journal:  Int J Environ Res Public Health       Date:  2015-08-26       Impact factor: 3.390

  6 in total

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