A new approach is proposed for the retrieval of trace gases, vertical column concentrations, from hyperspectral satellite observations. This technique consists of a semi-blind recovery of concentrations and pure spectra from their linear mixtures. This decomposition is based on the Least Dependent component Analysis (LDA) technique, a method that generalizes the well known Independent Component Analysis, to find least dependent components, after a proper preprocessing for reducing some residual dependencies. Some results are shown for the retrieval of sulphur dioxide SO2 volcano emission using data from the NASA Ozone Monitoring Instrument (OMI).

Least Dependent component Analysis for trace gases retrieval from satellite data

di Bisceglie M;Galdi C
2010

Abstract

A new approach is proposed for the retrieval of trace gases, vertical column concentrations, from hyperspectral satellite observations. This technique consists of a semi-blind recovery of concentrations and pure spectra from their linear mixtures. This decomposition is based on the Least Dependent component Analysis (LDA) technique, a method that generalizes the well known Independent Component Analysis, to find least dependent components, after a proper preprocessing for reducing some residual dependencies. Some results are shown for the retrieval of sulphur dioxide SO2 volcano emission using data from the NASA Ozone Monitoring Instrument (OMI).
978-1-4244-9565-8
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/11560
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