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20 November 2024 Stereoscopic height estimation of biomass burning aerosol and volcanic ash plumes by the second-generation global imager (SGLI)
Souichiro Hioki, Takuya Funatomi, Makiko Nakata, Sonoyo Mukai, Masatsugu Kidode
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Proceedings Volume 13193, Remote Sensing of Clouds and the Atmosphere XXIX; 131930B (2024) https://doi.org/10.1117/12.3031574
Event: Remote Sensing, 2024, Edinburgh, United Kingdom
Abstract
Intense wildfire and volcanic eruption emit a large quantity of aerosol in a form of plume that triggers various social and climatic consequences. Accurate simulation of such explosive emission events and the prediction of their consequences require a knowledge of the plume top height that could be estimated in several different approaches. This paper presents the application of stereoscopic height estimation technique to the data acquired by the Second-generation Global Imager (SGLI) aboard the Global change observation mission – C (GCOM-C) satellite that collected more than 6 years of global wide-swath (1200km) two-directional measurements. The SGLI captured 5 volcanic plumes among 10 most explosive volcanic eruptions in the 5-year period from 2018 to 2023. Along with an intense wildfire plume, we applied to observed plumes the stereoscopic plume top height estimation based on the normalized cross correlation (NCC) template matching. The estimated plume top height agrees with previous studies in most cases, while estimation was challenging for a volcanic plume case with low contrast and limited plume-top texture. The error estimation shows that the precision is about 700m and the accuracy is likely better than 1400m.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Souichiro Hioki, Takuya Funatomi, Makiko Nakata, Sonoyo Mukai, and Masatsugu Kidode "Stereoscopic height estimation of biomass burning aerosol and volcanic ash plumes by the second-generation global imager (SGLI)", Proc. SPIE 13193, Remote Sensing of Clouds and the Atmosphere XXIX, 131930B (20 November 2024); https://doi.org/10.1117/12.3031574
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KEYWORDS
Aerosols
Spatial resolution
Biomass
Satellites
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