Detection of cirrus based on refractive index using MODIS data

Sungwook Hong; Inchul Shin; Wontae Yun

doi:10.1117/12.868959

13 November 2010 Detection of cirrus based on refractive index using MODIS data

Sungwook Hong, Inchul Shin, Wontae Yun

Proceedings Volume 7856, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions III; 785607 (2010) https://doi.org/10.1117/12.868959
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

Cirrus is important in the energy balance of the earth-atmosphere system. Previous studies are based on the forward models using the single scattering in the cirrus. In this study, we provide a unique method to detect the cirrus using the polarized reflectivities, single-scattering, and optical properties of water and ice with Moderate Resolution Imaging Spectrometer (MODIS) observations. Consequently, the polarized reflectivities at MODIS 1.375 μm channel show the reasonable characteristics of the cirrus. The effective refractive indexes are retrieved approximately from 1.1 to 1.4. This investigation provides an effective inversion procedure for detecting the cirrus using the physical characteristics in the cirrus on the basis of the polarization and refractive index.

Citation Download Citation

Sungwook Hong, Inchul Shin, and Wontae Yun "Detection of cirrus based on refractive index using MODIS data", Proc. SPIE 7856, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions III, 785607 (13 November 2010); https://doi.org/10.1117/12.868959

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