Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29359
Title: Improved volcanic ash detection based on a hybrid reverse absorption technique
Authors: Lee, KH
Wong, MS 
Chung, SR
Sohn, E
Keywords: Brightness temperature
Hybrid algorithm
MODIS
Reverse absorption
Volcanic ash
Issue Date: 2014
Publisher: Elsevier
Source: Atmospheric research, 2014, v. 143, p. 31-42 How to cite?
Journal: Atmospheric research 
Abstract: A noble volcanic ash (VA) detection method based on a hybrid reverse absorption technique was successfully applied in the analysis of major volcanic eruptions that occurred in Russia, Iceland, Chile, Italy, and Japan by using the MODerate-resolution Imaging Spectroradiometer (MODIS) observation data. Sensitivity studies using radiative-transfer simulations by using various environmental parameters such as ash loadings, sizes, layer heights, and surface emissions, revealed that VA effects on brightness temperatures (BT) can reach up to 40. K. The advantage of the hybrid algorithm is its ability to detect distinct VA pixels during the day and night from satellite observations. The results showed that the hybrid algorithm can minimize the false detection of VA pixels, while well-known reverse absorption methods show abundant false VA pixels over bright surfaces and cloud formations. Further, the time-and-space distribution of the VA pixels is in good agreement with the data pertaining to operational aerosol products obtained from the scanning imaging absorption spectrometer for atmospheric cartography (SCIAMACHY) instrument on board ESA's Envisat and the cloud-aerosol Lidar and infrared pathfinder satellite observations (CALIPSO). This novel algorithm is expected to provide a fine spatial and temporal resolution of VA monitoring from high spectral or geostationary satellite observation data.
URI: http://hdl.handle.net/10397/29359
ISSN: 0169-8095
EISSN: 1873-2895
DOI: 10.1016/j.atmosres.2014.01.019
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

5
Last Week
0
Last month
1
Citations as of Sep 11, 2017

WEB OF SCIENCETM
Citations

6
Last Week
0
Last month
1
Citations as of Sep 13, 2017

Page view(s)

37
Last Week
1
Last month
Checked on Sep 17, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.