Using Ground Spectral Irradiance for Model Correction of AVIRIS Data
Alexander Goetz, Kathleen B. Heidebrecht, B. C. Kindel, Joseph W. Boardman
Abstract
Alexander Goetz, Kathleen B. Heidebrecht, B. C. Kindel, Joseph W. Boardman
Abstract
Over the last decade a series of techniques has been developed to correct hyperspectral imaging sensor data to apparent surface reflectance. The techniques range from the empirical line method that makes use of ground target measurements to model-based methods such as ATREM that derive parameters from the data themselves to convert radiance to reflectance, and combinations of the above. Here we describe a technique that combines ground measurements of spectral irradiance with existing radiative transfer models to derive the model equivalent of an empirical line method correction without the need for uniform ground targets of different reflectance.
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Over the last decade a series of techniques has been developed to correct hyperspectral imaging sensor data to apparent surface reflectance. The techniques range from the empirical line method that makes use of ground target measurements to model-based methods such as ATREM that derive parameters from the data themselves to convert radiance to reflectance, and combinations of the above. Here we describe a technique that combines ground measurements of spectral irradiance with existing radiative transfer models to derive the model equivalent of an empirical line method correction without the need for uniform ground targets of different reflectance.
Key concepts: Irradiance, Radiance, Remote sensing, Hyperspectral imaging, Radiative transfer, Reflectivity, Environmental science, Atmospheric radiative transfer codes