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Proceedings Paper

Surface reflectance retrieval from imaging spectrometer data using three atmospheric codes
Author(s): Karl Staenz; Daniel J. Williams; Gunar Fedosejevs; Phil M. Teillet
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Paper Abstract

Surface reflectance retrieval from imaging spectrometer data has become important for quantitative information extraction in many application areas. In order to calculate surface reflectance from remotely measured radiance, radiative transfer codes play an important role for removal of the scattering and gaseous absorption effects of the atmosphere. The present study evaluates surface reflectances retrieved from airborne visible/infrared imaging spectrometer (AVIRIS) data using three radiative transfer codes: modified 5S (M5S), 6S, and MODTRAN2. Comparisons of the retrieved surface reflectance with ground-based reflectance were made for different target types such as asphalt, gravel, grass/soil mixture (soccer field), and water (Sooke Lake). The results indicate that the estimation of the atmospheric water vapor content is important for an accurate surface reflectance retrieval regardless of the radiative transfer code used. For the present atmospheric conditions, a difference of 0.1 in aerosol optical depth had little impact on the retrieved surface reflectance. The performance of MODTRAN2 is superior in the gas absorption regions compared to M5S and 6S.

Paper Details

Date Published: 21 December 1994
PDF: 12 pages
Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); doi: 10.1117/12.197242
Show Author Affiliations
Karl Staenz, Canada Ctr. for Remote Sensing (Canada)
Daniel J. Williams, MacDonald Dettwiler and Associates Ltd. (United States)
Gunar Fedosejevs, Canada Ctr. for Remote Sensing (Canada)
Phil M. Teillet, Canada Ctr. for Remote Sensing (Canada)


Published in SPIE Proceedings Vol. 2318:
Recent Advances in Remote Sensing and Hyperspectral Remote Sensing
Pat S. Chavez; Carlo M. Marino; Robert A. Schowengerdt, Editor(s)

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