Atmospheric correction in the problem of fire detection from space

Sergey V. Afonin; Vladimir V. Belov

doi:10.1117/12.627529

1 November 2005 Atmospheric correction in the problem of fire detection from space

Sergey V. Afonin, Vladimir V. Belov

Proceedings Volume 5979, Remote Sensing of Clouds and the Atmosphere X; 597916 (2005) https://doi.org/10.1117/12.627529
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

An analysis of the results of spaceborne fire detection in the Tomsk Region of Western Siberia allows us to conclude the following. Complex situations often arise in satellite observations in the presence of the atmospheric aerosol or the semitransparent cloudiness when standard algorithms cannot detect automatically small-sized fires from space. In such situations, the problem can be solved successfully by using the atmospheric correction of satellite measurements for the distorting effect of the atmosphere based on atmospheric radiance/scattering models. In this case, a priori information on the optical and meteorological parameters of the atmosphere and on the geometry of observations is used. In the present study, some results of numerical simulation and atmospheric correction for the distorting effect of the atmosphere in the problem of fire detection are given.

Citation Download Citation

Sergey V. Afonin and Vladimir V. Belov "Atmospheric correction in the problem of fire detection from space", Proc. SPIE 5979, Remote Sensing of Clouds and the Atmosphere X, 597916 (1 November 2005); https://doi.org/10.1117/12.627529

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