The Utilization of Remotely Sensed Data to Analyze the Estimated Volume of Pyroclastic Deposits and Morphological Changes Caused by the 2010–2015 Eruption of Sinabung Volcano, North Sumatra, Indonesia
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In this research, remotely sensed data has been used to estimate the volume of pyroclastic deposits and analyze morphological changes that have resulted from the eruption of Sinabung volcano. Topographic information was obtained from these data and used for rapid mapping to assist in the emergency response. Topographic information and change analyses (pre- and syn- eruption) were conducted using digital elevation models (DEMs) for the period 2010–2015. Advanced spaceborne thermal emission and reflection radiometer (ASTER) global digital elevation model (GDEM) data from 2009 were used to generate the initial DEMs for the condition prior to the eruption of 2010. Satellite pour l’observation de la terre 6 (SPOT 6) stereo images acquired on 21 June 2015 and were used to make a DEM for that time. The results show that the estimated total volume of lava and pyroclastic deposits, produced during the period 2010 to mid-2015 is approximately 2.8 × 108 m3. This estimated volume of pyroclastic deposits can be used to predict the magnitude of future secondary lahar hazards, which are also related to the capacity of rivers in the area. Morphological changes are illustrated using cross-sectional analysis of the deposits, which are currently deposited to the east, southeast and south of the volcano. Such analyses can also help in forecasting the direction of the future flow hazards. The remote sensing and analysis methods used at Sinabung can also be applied at other volcanoes and to assess the threats of other types of hazards such as landslides and land subsidence.
KeywordsPyroclastic deposits morphological change remote sensing SPOT 6 Sinabung volcano North Sumatra Indonesia
This paper is a part of the research activities entitled “The utilization of remotely sensed data for disaster mitigation volcanoes in Indonesia”. This research was funded by the budget of DIPA LAPAN activities in 2015, Remote Sensing Application Center, Indonesian National Institute of Aeronautics and Space (LAPAN). Thanks go to Dr. M. Rokhis Khomarudin (Director of Remote Sensing Application Center, LAPAN) who has supported the implementation of this research. We also acknowledge to Drs. Taufik Maulana, MBA., Dr. Wikanti Asriningrum and our colleagues at the Remote Sensing Application Center, LAPAN for discussions and suggestions, and two anonymous reviewers were very helpful in improving our manuscript. SPOT 6 stereo images data and Landsat 8 LDCM data were provided by Remote Sensing Technology and Data Center, LAPAN. ASTER GDEM data were provided by the Japan-US ASTER Science Team. Topographic maps were provided by the Indonesian Geospatial Information Agency (BIG).
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