Paper Info
Title
Background subtraction and dust storm detection
Abstract
Mineral dust aerosols can influence the Earth's climate system to a significant degree and have a strong effect on terrestrial and oceanic biogeochemical cycles. As one step in quantifying dust sources, sinks, and transport, this paper seeks to quantify the presence of dust storms in the Sahara desert, which is the most active worldwide source of dust. Our work is based on the SEVIRI infrared imager on-board the geostationary Meteosat-8 satellite, providing three separate channels at a 3km by 3km resolution. The significant challenge is that the infrared channels are highly influenced by the presence of water clouds and surface temperatures, which complicate the identification of dust-cloud anomalies. This paper develops a method of spatio-temporal background estimation from sparse data as a way of recovering dust images and presents results on real data.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6351070
IGARSS
Keywords
Field
DocType
spatio-temporal background estimation,storms,dust,atmospheric techniques,image resolution,infrared imaging,minerals,geostationary meteosat-8 satellite,mineral dust aerosols,seviri infrared imager,spatiotemporal phenomena,surface temperatures,oceanic biogeochemical cycles,infrared channels,dust image analysis,sahara desert,geophysical image processing,dust sources,background estimation,land surface temperature,dust cloud identification,dust-cloud anomalies,dust storm detection,earth climate system,water clouds,computational modeling,estimation,image segmentation,atmospheric modeling,satellites
Background subtraction,Mineral dust,Satellite,Biogeochemical cycle,Dust storm,Computer science,Remote sensing,Storm,Atmospheric sciences,Image resolution,Geostationary orbit
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
1
PageRank 
References 
Authors
0.87
1
3
Name
Order
Citations
PageRank
Chen-Yi Liu141.28
Paul W. Fieguth261254.17
Christoph S. Garbe38012.11