A Daytime Complement to the Reverse Absorption Technique for Improved Automated Detection of Volcanic Ash
Author(s) -
Michael J. Pavolonis,
Wayne F. Feltz,
Andrew K. Heidinger,
Gregory M. Gallina
Publication year - 2006
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/jtech1926.1
Subject(s) - volcanic ash , brightness , computer science , environmental science , absorption (acoustics) , remote sensing , brightness temperature , algorithm , volcano , channel (broadcasting) , meteorology , geology , optics , physics , telecommunications , seismology
An automated volcanic cloud detection algorithm that utilizes four spectral channels (0.65, 3.75, 11, and 12 μm) that are common among several satellite-based instruments is presented. The new algorithm is physically based and globally applicable and can provide quick information on the horizontal location of volcanic clouds that can be used to improve real-time ash hazard assessments. It can also provide needed input into volcanic cloud optical depth and particle size retrieval algorithms, the products of which can help improve ash dispersion forecasts. The results of this new four-channel algorithm for several scenes were compared to a threshold-based reverse absorption algorithm, where the reverse absorption algorithm is used to identify measurements with a negative 11–12-μm brightness temperature difference. The results indicate that the new four-channel algorithm is not only more sensitive to the presence of volcanic clouds but also generally less prone to false alarms than the standard reve...
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