Enhancing weak transient signals in SEVIRI false color imagery: Application to dust source detection in southern Africa. Issue 17 (5th September 2016)

• Record Type: Journal Article
• Authors: Murray, J. E.; Brindley, H. E.; Bryant, R. G.; Russell, J. E.; Jenkins, K. F.; Washington, R.
• Is Part Of: Journal of geophysical research. Volume 121:Issue 17(2016)
• Page Start: 10, 199
• Page End: 10, 219
• Publication Date: 2016-09-05
• Subjects: dust -- smoke -- Africa -- imagery; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2016JD025221
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: A method is described to significantly enhance the signature of dust events using observations from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The approach involves the derivation of a composite clear‐sky signal for selected channels on an individual time step and pixel basis. These composite signals are subtracted from each observation in the relevant channels to enhance weak transient signals associated with either (a) low levels of dust emission or (b) dust emissions with high salt or low quartz content. Different channel combinations, of the differenced data from the steps above, are then rendered in false color imagery for the purpose of improved identification of dust source locations and activity. We have applied this clear‐sky difference (CSD) algorithm over three (globally significant) source regions in southern Africa: the Makgadikgadi Basin, Etosha Pan, and the Namibian and western South African coast. Case study analyses indicate three notable advantages associated with the CSD approach over established image rendering methods: (i) an improved ability to detect dust plumes, (ii) the observation of source activation earlier in the diurnal cycle, and (iii) an improved ability to resolve and pinpoint dust plume source locations. Key Points: mineral dust detection and source identification enhancement of RGB satellite imagery southern African dust activity