Calibration to surface reflectance of terrestrial imaging spectrometry data: Comparison of methods

作者: Kathy Heidebrecht , F. H. Goetz , Roger N. Clark , Gregg A. Swayze , Robert O. Green

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摘要: Many algorithms for spectral analysis of imaging spectroscopy data the Earth's surface require that be calibrated to reflectance. Calibration requires removing instrumental response, solar irradiance, atmospheric transmittance, and scattering from radiance detected at sensor. Depending on amount support data, this can a formidable task. This paper examines four methods calibration: (1) radiative transfer model University Colorado (ATREM: Gao Goetz, 1990; et al., 1992), (2) MODTRAN-based method developed Jet Propulsion Lab by Green (1191), (3) ground calibration using known sites as standards, (4) combined approach calibration. Data Airborne Visual Infra-Red Imaging Spectrometer (AVIRIS) instrument were evaluated sets obtained over multiple years sites.

参考文章(1)
Bo-Cai Gao, Alexander F. H. Goetz, Column atmospheric water vapor and vegetation liquid water retrievals from Airborne Imaging Spectrometer data Journal of Geophysical Research. ,vol. 95, pp. 3549- 3564 ,(1990) , 10.1029/JD095ID04P03549