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Proceedings Paper

Comparison of four sand-dust intensity quantitative identification method based on Himawari-8
Author(s): Dawei Wang; Tao Han; Lili Li; Youyan Jiang; Enqing Shen
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Paper Abstract

Sandstorm was a common natural phenomenon formed by special geographical environment and meteorological conditions. The geostationary meteorological satellite, attracted with the advantages of wide monitoring range and high frequency of observation, was becoming the most effective methods in monitoring, tracking and analysis on the process of sandstorms research. Based on the geostationary meteorological satellite data of Himawari-8 at 4:00 on May 3, 2017, compared the remote sensing inversion results of dust intensity by using a variety of mature sand-dust intensity inversion models. The result shows that Index of comparable sandstorm intensity model was the best to invert the area and range of sand-dust intensity, Sandstorms intensity index model was followed, and Mid-infrared channel difference model was the worst. The inversion results of the four types of sand dust intensity are quite different.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143205 (14 February 2020); doi: 10.1117/12.2536625
Show Author Affiliations
Dawei Wang, Lanzhou Regional Climate Ctr. (China)
Tao Han, Lanzhou Regional Climate Ctr. (China)
Lili Li, Peking Univ. (China)
Youyan Jiang, Lanzhou Regional Climate Ctr. (China)
Enqing Shen, Lanzhou Regional Climate Ctr. (China)

Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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