Application of dust and PM2.5 detection methods using MODIS data to the Asian dust events which aggravated respiratory symptoms in Western Japan in May 2011

Yoshinobu Kato

doi:10.1117/12.2324735

22 October 2018 Application of dust and PM2.5 detection methods using MODIS data to the Asian dust events which aggravated respiratory symptoms in Western Japan in May 2011

Yoshinobu Kato

Author Affiliations +

Proceedings Volume 10776, Remote Sensing of the Atmosphere, Clouds, and Precipitation VII; 1077619 (2018) https://doi.org/10.1117/12.2324735
Event: SPIE Asia-Pacific Remote Sensing, 2018, Honolulu, Hawaii, United States

Abstract

Asian dust (i.e., dust and sandstorm: DSS) is a phenomenon that wind-borne soil and mineral particles are raised thousands of meters into the air in arid and semi-arid regions of China and Mongolia, and is carried by westerly winds and sometimes reaches Japan. The PM2.5 air pollution often occurs in urban and industrial areas of China recently, and sometimes flows into Japan. DSS and PM2.5 affect the human health. DSS can be detected by using AVI method of the satellite remote sensing technique. AVI is defined as AVI=T12-T11, where T12 and T11 are the brightness temperatures at 12μm and 11μm wave lengths, respectively. For MODIS data, T12 and T11 correspond to band32 and band31, respectively. PM2.5 can be detected by using the proposed method {R, G, B} = {band10, band 9, T11}. In this paper, these methods are applied to the DSS events which aggravated Respiratory Symptoms (Asthma) in Western Japan in May 2011. The DustRGB method {R, G, B} = {AVI, T11-T8.5, T11}, which was proposed by EUMETSAT in 2011, is examined and also is applied to some dust images.

Citation Download Citation

Yoshinobu Kato "Application of dust and PM2.5 detection methods using MODIS data to the Asian dust events which aggravated respiratory symptoms in Western Japan in May 2011", Proc. SPIE 10776, Remote Sensing of the Atmosphere, Clouds, and Precipitation VII, 1077619 (22 October 2018); https://doi.org/10.1117/12.2324735

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available