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Proceedings Paper

Atmospheric correction model of Landsat images
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Paper Abstract

An operational atmosphere correction algorithm based on dark object method and the look up table which founded by MODTRAN4 model was introduced for Landsat images herein. The information of the satellite remote sensing images was used to support the atmosphere correction. The algorithm was applied to the Landsat ETM+ imagery and the comparison results of before and after atmospheric correction show that the impact of Landsat imagery caused by molecules, water vapor, ozone, and aerosol particles in the atmosphere was reduced effectively after the correction. This new atmospheric correction algorithm is effective and capable of retrieving surface reflectance accurately. The surface reflectivity was retrieved exactly to help remote sensing information extraction and thematic interpretation.

Paper Details

Date Published: 20 August 2009
PDF: 9 pages
Proc. SPIE 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 745412 (20 August 2009); doi: 10.1117/12.824230
Show Author Affiliations
Chaoshun Liu, East China Normal Univ. and Ctr. for Earth Observation and Digital Earth (China)
Wei Gao, East China Normal Univ. and Ctr. for Earth Observation and Digital Earth (China)
Colorado State Univ. (United States)
Zhiqiang Gao, Colorado State Univ. (United States)
Institute of Geographic Sciences and Natural Resources Research (China)
Runhe Shi, East China Normal Univ. and Ctr. for Earth Observation and Digital Earth (China)


Published in SPIE Proceedings Vol. 7454:
Remote Sensing and Modeling of Ecosystems for Sustainability VI
Wei Gao; Thomas J. Jackson, Editor(s)

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