DocumentCode
1334191
Title
Bidirectional anisotropic reflectance of snow and sea ice in AVHRR channel 1 and channel 2 spectral regions. II. Correction applied to imagery of snow on sea ice
Author
Jin, Zhonghai ; Simpson, James J.
Author_Institution
Digital Image Anal. Lab., California Univ., San Diego, La Jolla, CA, USA
Volume
38
Issue
2
fYear
2000
fDate
3/1/2000 12:00:00 AM
Firstpage
999
Lastpage
1015
Abstract
For pt.I see ibid., vol.37, no.1, p.543-54 (1999). Advanced Very High Resolution Radiometer (AVHRR) images acquired over the Arctic Ocean often show strong bidirectional reflectance of snow on sea ice. The observed anisotropic reflectance characteristics of these images are consistent with the theoretical analysis presented in Part I of this study. The anisotropic reflectance at the top of atmosphere (TOA) is simulated by radiative transfer modeling and the results show a good model-observation agreement. Based on these modeling results, a method was developed to correct the effect of anisotropic reflectance on AVHRR images in channels 1 and 2. Results show the method is effective and efficient. Comparisons of TOA snow reflectance before and after anisotropic correction show that the systematic and large variation of snow reflectance across the scan lines of an image due to satellite viewing/illumination geometry can either be eliminated or greatly reduced by applying the correction algorithm
Keywords
oceanographic techniques; remote sensing; sea ice; snow; 650 nm; 850 nm; AVHRR; Advanced Very High Resolution Radiometer; Arctic Ocean; bidirectional anisotropic reflectance; channel 1; channel 2; correction; infrared; light reflection; measurement technique; model; ocean; optical imaging; radiative transfer; satellite remote sensing; sea ice; sea surface; snow cover; snowcover; snowpack; strong bidirectional reflectance; visible region; Anisotropic magnetoresistance; Arctic; Atmospheric modeling; Bidirectional control; Image resolution; Oceans; Radiometry; Reflectivity; Sea ice; Snow;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.841981
Filename
841981
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