Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 67-74, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W4/67/2015/
doi:10.5194/isprsarchives-XL-7-W4-67-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
26 Jun 2015
Volcanic Ash Retrieval Using a New Geostationary Satellite
K. H. Lee and K. T. Lee Dept. of Atmospheric & Environmental Engineering, Gangneung-Wonju National University(GWNU), Gangneung, Republic of Korea
Keywords: Volcanic ash, aerosol, geostationary satellite, GK-2A, MODIS Abstract. The paper presents currently developing method of volcanic ash detection and retrieval for the Geostationary Korea Multi-Purpose Satellite (GK-2A). With the launch of GK-2A, aerosol remote sensing including dust, smoke, will begin a new era of geostationary remote sensing. The Advanced Meteorological Imager (AMI) onboard GK-2A will offer capabilities for volcanic ash remote sensing similar to those currently provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite. Based on the physical principles for the current polar and geostationary imagers are modified in the algorithm. Volcanic ash is estimated in detection processing from visible and infrared channel radiances, and the comparison of satellite-observed radiances with those calculated from radiative transfer model. The retrievals are performed operationally every 15 min for volcanic ash for pixel sizes of 2 km. The algorithm currently under development uses a multichannel approach to estimate the effective radius, aerosol optical depth (AOD) simultaneously, both over water and land. The algorithm has been tested with proxy data generated from existing satellite observations and forward radiative transfer simulations. Operational assessment of the algorithm will be made after the launch of GK-2A scheduled in 2018.
Conference paper (PDF, 1346 KB)


Citation: Lee, K. H. and Lee, K. T.: Volcanic Ash Retrieval Using a New Geostationary Satellite, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 67-74, doi:10.5194/isprsarchives-XL-7-W4-67-2015, 2015.

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