Calibration of MODTRAN3 with PGAMS observational data for atmospheric correction applications

Stephen Schiller; Jeffery C. Luvall; Jere Justus

doi:10.1117/12.243233

17 June 1996 Calibration of MODTRAN3 with PGAMS observational data for atmospheric correction applications

Stephen Schiller, Jeffery C. Luvall, Jere Justus

Proceedings Volume 2758, Algorithms for Multispectral and Hyperspectral Imagery II; (1996) https://doi.org/10.1117/12.243233
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The portable ground-based atmospheric monitoring system (PGAMS) is a spectroradiometer system that provides a set of in situ solar and hemispherical sky irradiance, path radiance, and surface reflectance measurements. The observations provide input parameters for the calibration of atmospheric algorithms applied to multispectral and hyperspectral images in the visible and near infrared spectrum. Presented in this paper are the results of comparing hyperspectral surface radiances calculated using MODTRAN3 with PGAMS field measurements for a blue tarp and grass surface targets. Good agreement was obtained by constraining MODTRAN3 to only a rural atmospheric model with a calibrated visibility and surface reflectance from PGAMS observations. This was accomplished even though the sky conditions were unsteady as indicated by a varying aerosol extinction. Average absolute differences of 11.3 and 7.4 percent over the wavelength range from 400 to 1000 nm were obtained for the grass and blue tarp surfaces respectively. However, transformation to at-sensor radiances require additional constraints on the single-scattering albedo and scattering phase function so that they exhibit the specific real-time aerosol properties rather than a seasonal average model.

Citation Download Citation

Stephen Schiller, Jeffery C. Luvall, and Jere Justus "Calibration of MODTRAN3 with PGAMS observational data for atmospheric correction applications", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243233

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