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Diffusion Source Detection of Volcanic Ash Cloud Using MODIS Satellite Data

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Abstract

The massive volcanic ash cloud not only causes obvious global climate and environmental changes, but also threatens aviation safety under the background of globalization. The diffusion source detection is a key factor in the volcanic ash cloud monitoring and the diffusion research. Taking the Eyjafjallajokull’s volcanic ash cloud on April 19, 2010 in Iceland as an example, based on the analysis of the absorption spectrum characteristics in the thermal infrared spectral range, in this paper, a new diffusion source detection algorithm of volcanic ash cloud combining split window algorithm with SO2 concentration distribution is proposed from the moderate resolution imaging spectroradiometer (MODIS) satellite remote sensing images; subsequently the ash radiance index (ARI) and absorbing aerosol index (AAI) are applied as contrast to the detection results. The results show that the proposed algorithm can effectively detect the diffusion source of volcanic ash cloud, and has high consistency with the ARI and AAI distributions, and has certain potential applications in improving the detection effect of volcanic ash cloud and prediction accuracy of diffusion model.

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Acknowledgments

This work was supported by the Project of National Natural Science Foundation of China (Grant No. 41172303). The authors gratefully acknowledge this supports.

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Authors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, Room 711, 99 Shangda Road, Baoshan District, Shanghai, 200444, China

    Cheng-Fan Li, Yang-Yang Dai, Jun-Juan Zhao, Jing-Yuan Yin, Dan Xue & Shi-Qiang Zhou

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  1. Cheng-Fan Li
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  2. Yang-Yang Dai
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  3. Jun-Juan Zhao
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  4. Jing-Yuan Yin
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  5. Dan Xue
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Correspondence to Cheng-Fan Li.

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Li, CF., Dai, YY., Zhao, JJ. et al. Diffusion Source Detection of Volcanic Ash Cloud Using MODIS Satellite Data. J Indian Soc Remote Sens 42, 611–619 (2014). https://doi.org/10.1007/s12524-013-0360-6

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  • DOI: https://doi.org/10.1007/s12524-013-0360-6

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