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Remote Sens. 2015, 7(1), 51-71; doi:10.3390/rs70100051

New Asia Dust Storm Detection Method Based on the Thermal Infrared Spectral Signature

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, ChaoYang District, Beijing 100101, China
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Author to whom correspondence should be addressed.
Academic Editors: Dale A. Quattrochi and Prasad S. Thenkabail
Received: 13 September 2014 / Accepted: 5 December 2014 / Published: 23 December 2014
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Abstract

As hyperspectral instruments can provide the detailed spectral information, a new spectral similarity method for detecting and differentiating dust from non-dust scenes using the Atmospheric Infrared Sounder (AIRS) observations has been developed. The detection is based on a pre-defined Dust Spectral Similarity Index (DSSI), which was calculated from the accumulated brightness temperature differences between selected 16 AIRS observation channels, in the thermal infrared region of 800–1250 cm−1. It has been demonstrated that DSSI can effectively separate the dust from non-dust by elevating dust signals. For underlying surface covered with dust, the DSSI tends to show values close to 1.0. However, the values of DSSI for clear sky surfaces or clouds (ice and water) are basically lower than those of dust, as their spectrums have significant differences with dust. To evaluate this new simple DSSI dust detection algorithm, several Asia dust events observed in northern China were analyzed, and the results agree favorably with those from the Moderate resolution Imaging Spectro radiometer (MODIS) and Cloud Aerosol LiDAR with Orthogonal Polarization (CALIOP) observations. View Full-Text
Keywords: Asia dust; thermal infrared signature; detection; AIRS Asia dust; thermal infrared signature; detection; AIRS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xu, H.; Cheng, T.; Gu, X.; Yu, T.; Wu, Y.; Chen, H. New Asia Dust Storm Detection Method Based on the Thermal Infrared Spectral Signature. Remote Sens. 2015, 7, 51-71.

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