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Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods

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3 Author(s)
Shunlin Liang ; Lab. for Global Remote Sensing Studies, Maryland Univ., College Park, MD, USA ; Hongliang Fang ; Mingzhen Chen

To extract quantitative information from the Enhanced Thematic Mapper-Plus (ETM+) imagery accurately, atmospheric correction is a necessary step. After reviewing historical development of atmospheric correction of Landsat Thematic Mapper (TM) imagery, the authors present a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from ETM+ imagery under general atmospheric and surface conditions. This algorithm is therefore suitable for operational applications. A new formula that accounts for adjacency effects is also presented. Several examples are given to demonstrate that this new algorithm works very well under a variety of atmospheric and surface conditions

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:39 ,  Issue: 11 )