A New Approach to Detect Combustion‑Originated Aerosols by Using a Cloud Method

Abstract:

There are many methods for detection of cloud scenes and their classifications. However, all existing methods can detect the cloud scenes within the relatively small range of shortwave upwelling radiative wavelength flux (SWupRF). Recently, we reported a method based on the radiance enhancement (RE) that can be used to cover a significantly wider spectral range from 1100 nm to 1700 nm for efficient detection of the cloud scenes (Siddiqui et al., 2015). As a further development, we present new approaches showing how RE and SWupRF methods can be applied to detect and distinguish clouds by using datasets from the space-orbiting micro‑spectrometer Argus 1000. Furthermore, we propose new application of the RE method that can be implemented for detection of combustion‑originated aerosols. The proposed new method may be promising for efficient detection and continuous monitor of the seasonal forest and field fires. To the best of our knowledge this is a new approach showing how a cloud method can be generalized for efficient detection of the combustion-based aerosols due to forest and field fires.