Atmospheric correction model of Landsat images

Chaoshun Liu; Wei Gao; Zhiqiang Gao; Runhe Shi

doi:10.1117/12.824230

20 August 2009 Atmospheric correction model of Landsat images

Chaoshun Liu, Wei Gao, Zhiqiang Gao, Runhe Shi

Proceedings Volume 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI; 745412 (2009) https://doi.org/10.1117/12.824230
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

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.

Citation Download Citation

Chaoshun Liu, Wei Gao, Zhiqiang Gao, and Runhe Shi "Atmospheric correction model of Landsat images", Proc. SPIE 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 745412 (20 August 2009); https://doi.org/10.1117/12.824230

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