Abstract
Experimental approach of reflectance based vicarious calibration of solar reflectance wavelength region of mission instruments onboard remote sensing satellites is conducted. As an example, vicarious calibration of ASTER/VNIR with estimated aerosol refractive index and size distribution that depends on atmospheric conditions is discussed. Strange solution of estimated refractive index and size distribution may occurred due to the fact that solution fell into one of local minima in the inversion process for phase function fitting between measured and estimated with assumed refractive index and size distribution. This paper describes atmospheric conditions that may induce such a situation. Namely, it may occur when the atmospheric optical depth is too thin and or Junge parameter is too small. In such case, refractive index and size distribution estimation accuracy is poor. A relation between refractive index and size distribution estimation accuracy and estimation accuracy of the Top of the Atmosphere (TOA) radiance (vicarious calibration accuracy) is also clarified in particular for ASTER/VNIR vicarious calibration. It is found that 10% of the refractive index and size distribution estimation error causes approximately 1.3% of TOA radiance estimation error.
Highlights
Visible and Near Infrared mounted on earth observation satellites and the short-wavelength infrared radiation thermometer, Alternative calibration using measurement data on the ground and onboard calibration by the calibration mounting system is performed
We introduce a method for estimating the particle size distribution and the complex refractive index in the second chapter, the relationship between the estimation accuracy of the particle size distribution and the complex refractive index and the calibration accuracy of the sky radiometer, particle size distribution and the complex refractive index in the third chapter
Think anyone who wants to estimate solar direct light, rim light, by scattering light measurement value the complex refractive index and volume particle size distribution is the best to the top of atmosphere radiance estimated that these measurements are not possible, atmospheric optical it was found that the difference is 1,2 % to estimate the parameters of the number of power distribution only from the measurement data of the thickness, even if the estimated top of atmosphere radiance using a complex refractive index empirical
Summary
Visible and Near Infrared mounted on earth observation satellites and the short-wavelength infrared radiation thermometer, Alternative calibration using measurement data on the ground and onboard calibration by the calibration mounting system is performed. Estimated thickness precision air optical, aerosol complex refractive index, the particle size distribution is dependent on the measurement accuracy sun direct light, rim light, of scattering light, I described in detail the calibration accuracy of the sky radiometer to measure these [16], [17]. Divided by the solid angle ΔΩ observation illumination F of direct light, air mass m0, Sky radiometer observations illumination E of solar scattered light (Θ), R represented by the formula (4) (Θ) is or change each it is obtained by suppressing the error with respect to calibration It is a physical quantity which depends on only the state of the atmosphere. I calculate the complex refractive index ~ m of aerosol particle size distribution: v (r) R illumination of solar light scattering and direct sun light from F(Θ) For this purpose, it is necessary to solve a non-linear inverse problem. Since less originally the difference between the estimated scattering phase function measurement and scattering phase function estimation error increases and is considered the solution has converged in the state they do not a best fit when the optical thickness is thin
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