Paper
8 November 2012 Influence and discrimination of clouds in the detection of dust and sandstorms using AVI
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Abstract
The AVI method can detect the dust and sandstorms (DSS) in satellite images both at daytime and night. The aerosol vapor index (AVI) is defined as AVI=T12-T11, where T12 and T11 are the brightness temperatures at 12μm and 11μm wave lengths, respectively. The fault of AVI method is to mistake thick clouds for DSS rarely. Iino et al. (2002, 2004) proposed the composite color images for discriminating DSS from clouds in daytime NOAA-AVHRR images. In this paper, Terra/Aqua-MODIS data are used. First, it is explained that usual clouds bring the effect of AVI<0, and the clouds with very large optical thickness and very large particle size may bring the effect of AVI<0, by using the BTD vs. T11 charts of Inoue (2006), where BTD=-AVI. Examples of the cloud images of AVI<0 are shown and interpreted using the AVI vs. T11 scatter chart. Next, the views of objects (DSS, usual ice-cloud, usual water-cloud, ice-cloud with large optical thickness, water-cloud with large optical thickness, snow field and ice, land, sea) in the single-band images (bands 1, 3, 4, 6, 7 and T11(band31), T12(band32)) and the band-difference images (band1-band3, band4-band3, band6- band1, band7-band1, AVI) are examined. The good composite color images which can discriminate DSS from clouds etc. are {R,G,B=AVI, band7-band1, T11} and {R,G,B=AVI, band4-band3, T11} for daytime images, and {R,G,B=T11, AVI, none} for nighttime images.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoshinobu Kato "Influence and discrimination of clouds in the detection of dust and sandstorms using AVI", Proc. SPIE 8523, Remote Sensing of the Atmosphere, Clouds, and Precipitation IV, 85231F (8 November 2012); https://doi.org/10.1117/12.977462
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KEYWORDS
Clouds

Decision support systems

Composites

MODIS

Particles

Ocean optics

Satellites

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