A new multichannel threshold algorithm based on radiative transfer characteristics for detecting fog/low stratus using night-time NPP/VIIRS data

Remote sensing of night-time light

“…They demonstrate that the resulting time-series data set results in a better prediction of annual economic activity than the original raw data. Hu et al (2016) develop a new algorithm for identifying fog and low stratus in NPP/ VIIRS imagery. The algorithm uses multiple channels of data, is based on a radiative transfer modelling, and incorporates consideration of the observation geometry.…”

Cloud Detection for Night-Time Panchromatic Visible and Near-Infrared Satellite Imagery

“…The enterprise cloud mask (ECM) (Heidinger et al, 2016) for DNB deviates from this approach by realizing a learning of the threshold values and by integrating tests in the VNIR spectral range at night, if the Moon is visible and illuminated. Furthermore, under such conditions some experimental approaches are based on the VNIR spectral range, but they relate to the detection of special cloud types (differences in the reflectivity of haze and low-lying stratus clouds) (Hu et al, 2017) or aerosols (contrast between illuminated and unilluminated pixels, which is reduced by the influence of aerosols) (Johnson et al, 2013) only.…”