DocumentCode :
56071
Title :
Analysis of the Proportion of Surface Reflected Radiance in Mid-Infrared Absorption Bands
Author :
Bing Zhang ; Yao Liu ; Wenjuan Zhang ; Lianru Gao ; Jun Li ; Jun Wang ; Xia Li
Author_Institution :
Key Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Volume :
7
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
2639
Lastpage :
2646
Abstract :
Image simulation of remote sensing systems is important for the development of new instruments and validations of data processing algorithms. In image simulation process, surface scene simulation is a fundamental issue and usually has the first priority. For two mid-infrared absorption bands near 2.7 μm and 4.3 μm, although there are a lot of applications in remote sensing field, relevant research on surface scene simulation is very limited. In these two mid-infrared ranges, surface radiance is a combination of reflected and emitted radiance. However, the radiance is generally reduced because of strong absorption by atmosphere. Therefore, analysis of surface reflected radiance is essential for simulation work. In this paper, we use a radiative transfer model MODTRAN to simulate proportions of surface reflected radiance for common ground materials under various observation conditions. The obtained results show that proportions of studied materials are 0.8%-99.8% in the band of 2.63-2.83 μm and 1.1%-94.8% in the band of 4.2-4.5 μm. The proportions of surface reflected radiance in both absorption bands are affected by surface reflectivity. In addition, in the band of 2.7 μm the proportion of surface reflected radiance is sensitive to solar geometry, water vapor content and surface temperature, whereas it is insensitive in the band of 4.3 μm. Based on these results, we conduct that both reflection and emission are important for surface scene simulations in the 2.7 μm and 4.3 μm absorption bands.
Keywords :
geophysical techniques; remote sensing; MODTRAN radiative transfer model; data processing algorithms; mid-infrared absorption bands; remote sensing image simulation; remote sensing systems; surface reflected radiance; surface scene simulation; surface temperature; water vapor content; Absorption; Atmospheric modeling; Materials; Ocean temperature; Remote sensing; Sea surface; Mid-infrared absorption; image simulation; surface reflected radiance;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2272633
Filename :
6566197
Link To Document :
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