Atmospheric correction of hyperspectral data using MODTRAN model
Yuanliu Xu, Runsheng Wang, Shengwei Liu, Yang Suming, Bokun Yan
Abstract
Yuanliu Xu, Runsheng Wang, Shengwei Liu, Yang Suming, Bokun Yan
Abstract
The solar radiance obtained by a sensor is modified by atmosphere interaction, affected by its path through the atmospheric absorption and scattered in the combined Sun-surface-aircraft. In this paper, we described a method using RTM to simulate atmospheric spectral for deriving surface reflectance from Hyperspectral data (Hyperion). Preliminary application of the technique to Hyperion data indicates that the retrieval results are reasonable, and available techniques including retrieval of water vapor amount with MODTRAN look-up- table.
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The solar radiance obtained by a sensor is modified by atmosphere interaction, affected by its path through the atmospheric absorption and scattered in the combined Sun-surface-aircraft. In this paper, we described a method using RTM to simulate atmospheric spectral for deriving surface reflectance from Hyperspectral data (Hyperion). Preliminary application of the technique to Hyperion data indicates that the retrieval results are reasonable, and available techniques including retrieval of water vapor amount with MODTRAN look-up- table.
Key concepts: MODTRAN, Radiance, Hyperspectral imaging, Remote sensing, Atmospheric correction, Atmospheric model, Environmental science, Atmosphere (unit)