Classification of cloud scenes by Argus spectral data

The mini-spectrometer Argus 1000 being in space, continuously monitors the sources and sinks of the trace gases. This paper presents a methodology of classification of cloud scene by Argus Spectral Data (CCSArSD) by applying radiance enhancement (RE) technique within 900-1700 nm of wavelength bands at infrared sounder along with GENSPECT line by line radiative transfer code for different weeks per passes. Argus was launched on aboard CanX-2 micro-satellite on 28th April 2008 as part of a technology demonstration mission. The algorithm describes a method to detect the cloudy or non-cloudy scenes. We have collected more than 300 weeks per passes with each have more than 200 spectra. The REi within the selected wavelength bands of Argus, provides a promising results to classify the cloud scene. We moreover worked on the shortwave upwelling radiative flux (W/m2) to improve the CCSArSD model, which needs further study to jump up to higher rank.