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A Dynamic Enhancement With Background Reduction Algorithm: Overview and Application to Satellite‐Based Dust Storm Detection
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2017
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Source: Journal of Geophysical Research: Atmospheres, 122(23)
[PDF-2.56 MB]
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Journal Title:Journal of Geophysical Research: Atmospheres
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Description:This paper describes a Dynamic Enhancement Background Reduction Algorithm (DEBRA) applicable to multispectral satellite imaging radiometers. DEBRA uses ancillary information about the clear-sky background to reduce false detections of atmospheric parameters in complex scenes. Applied here to the detection of lofted dust, DEBRA enlists a surface emissivity database coupled with a climatological database of surface temperature to approximate the clear-sky equivalent signal for selected infrared-based multispectral dust detection tests. This background allows for suppression of false alarms caused by land surface features while retaining some ability to detect dust above those problematic surfaces. The algorithm
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Source:Journal of Geophysical Research: Atmospheres, 122(23)
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DOI:
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ISSN:2169-897X;2169-8996;
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Rights Information:Other
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