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Open AccessArticle

Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat Imagery and the Artificial Neural Networks Approach

1
Division of Science Education, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Korea
2
Earthquake Volcano Research Center, Korea Meteorological Administration, 61 16-Gil, Yeouidaebang-ro, Dongjak-Gu, Seoul 07062, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2017, 7(9), 935; https://doi.org/10.3390/app7090935
Received: 25 July 2017 / Revised: 7 September 2017 / Accepted: 8 September 2017 / Published: 11 September 2017
(This article belongs to the Special Issue Application of Artificial Neural Networks in Geoinformatics)
Volcanic eruptions cause pyroclastic flows, which can destroy plantations and settlements. We used image data from Landsat 7 Bands 7, 4 and 2 and Landsat 8 Bands 7, 5 and 3 to observe and analyze the distribution of pyroclastic flow deposits for two volcanos, Mount Sinabung and Merapi, over a period of 10 years (2001–2017). The satellite data are used in conjunction with an artificial neural network method to produce maps of pyroclastic precipitation for Landsat 7 and 8, then we calculated the pyroclastic precipitation area using an artificial neural network method after dividing the images into four classes based on color. Red, green, blue and yellow were used to indicate pyroclastic deposits, vegetation and forest, water and cloud, and farmland, respectively. The area affected by a volcanic eruption was deduced from the neural network processing, including calculating the area of pyroclastic deposits. The main differences between the pyroclastic flow deposits of Mount Sinabung and Mount Merapi are: the sediment deposits of the pyroclastic flows of Mount Sinabung tend to widen, whereas those of Merapi elongated; the direction of pyroclastic flow differed; and the area affected by an eruption was greater for Mount Merapi than Mount Sinabung because the VEI (Volcanic Explosivity Index) during the last 10 years of Mount Merapi was larger than Mount Sinabung. View Full-Text
Keywords: Sinabung eruption; Merapi eruption; pyroclastic flow deposits; Landsat imagery; artificial neural network Sinabung eruption; Merapi eruption; pyroclastic flow deposits; Landsat imagery; artificial neural network
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Kadavi, P.R.; Lee, W.-J.; Lee, C.-W. Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat Imagery and the Artificial Neural Networks Approach. Appl. Sci. 2017, 7, 935.

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