Title :
Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods
Author :
Liang, Shunlin ; Fang, Hongliang ; Chen, Mingzhen
Author_Institution :
Lab. for Global Remote Sensing Studies, Maryland Univ., College Park, MD, USA
fDate :
11/1/2001 12:00:00 AM
Abstract :
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
Keywords :
aerosols; atmospheric optics; atmospheric techniques; remote sensing; terrain mapping; Enhanced Thematic Mapper-Plus; Landsat ETM+ land surface imagery; adjacency effects; algorithm; atmospheric aerosols; atmospheric correction methods; land surface reflectance; spatial distribution; surface conditions; Aerosols; Clouds; Electromagnetic wave absorption; Geologic measurements; Land surface; Pollution measurement; Reflectivity; Remote sensing; Satellites; Surface contamination;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on