Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Atmospheric Aerosol Detection And Its Removal for Satellite Data

  • Lee, Dong-Ha (Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Institute of Science & Technology (GIST)) ;
  • Lee, Kwon-Ho (Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Institute of Science & Technology (GIST)) ;
  • Kim, Young-Joan (Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Institute of Science & Technology (GIST))
  • Published : 2006.10.31
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Abstract

Satellite imagery may contain large regions covered with atmospheric aerosol. A highresolution satellite imagery affected by non-homogenous aerosol cover should be processed for land cover study and perform the radiometric calibration that will allow its future application for Korea Multi-Purpose Satellite (KOMPSAT) data. In this study, aerosol signal was separated from high resolution satellite data based on the reflectance separation method. Since aerosol removal has a good sensitivity over bright surface such as man-made targets, aerosol optical thickness (AOT) retrieval algorithm could be used. AOT retrieval using Look-up table (LUT) approach for utilizing the transformed image to radiometrically compensate visible band imagery is processed and tested in the correction of satellite scenery. Moderate Resolution Imaging Spectroradiometer (MODIS), EO-l/HYPERION data have been used for aerosol correction and AOT retrieval with different spatial resolution. Results show that an application of the aerosol detection for HYPERION data yields successive aerosol separation from imagery and AOT maps are consistent with MODIS AOT map.

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References

  1. Ricchiazzi P, Yang S, Gautier C, and Sowle D, 1998. SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere. Bulletin of the American Meteorological Society, 79(10): 2101-2114 https://doi.org/10.1175/1520-0477(1998)079<2101:SARATS>2.0.CO;2
  2. King, M. D., Kauffman, Y. J., Tanre, D., and Nakajima, T., 1999. Remote sensing of tropospheric aerosols from space: past, present, and future. Bulletin of the American Meteorological Society, 80(11): 2229-2259 https://doi.org/10.1175/1520-0477(1999)080<2229:RSOTAF>2.0.CO;2
  3. Lee, K. H., D. H. Lee, Y. J. Kim, and J. Kim, 2006. MODIS $500{\times}500m^2$ resolution aerosol optical thickness retrieval and its application for air quality monitoring, Proceeding of 6th International symposium on advanced environmental monitoring
  4. Bucholtz, A., 1995. Rayleigh-scattering calculations for the terrestrial atmosphere, Applied Optics, 34: 2765-2773 https://doi.org/10.1364/AO.34.002765
  5. Kaufman, Y. J., Wald, A. E., Remer, L. A., Gao, B. C., Li, R. R., and Flynn, L., 1997. The MODIS $2.1-{\mu}m$ channel correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing, 35: 1286-1298 https://doi.org/10.1109/36.628795
  6. Kaufman, Y. J. and Sendra, C., 1988. Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery. International Journal of Remote Sensing, 9: 1357-1381 https://doi.org/10.1080/01431168808954942