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TitleAn Image Transform to Characterize and Compensate for Spatial Variations in Atmospheric Contamination of Landsat Images
 
AuthorZhang, Y; Guindon, B; Cihlar, J
SourceRemote Sensing of Environment vol. 82, issue 2-3, 2002 p. 173-187, https://doi.org/10.1016/S0034-4257(02)00034-2
Image
Year2002
Alt SeriesEarth Sciences Sector, Contribution Series 20043018
PublisherElsevier BV
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsremote sensing; mapping techniques; Have Optimized Transformation (HOT); Thematic Mapper (TM); Enhanced Thematic Mapper Plus (ETM+)
Illustrationstables; graphs; satellite images
AbstractA Haze Optimized Transformation (HOT) is developed and assessed for the detection and characterization of haze/cloud spatial distributions in Landsat scenes. The transformation is derived from an analysis of a visible-band space where spectral response to diverse surface cover classes under clear sky conditions is highly correlated but spectral response to haze is highly sensitive to both optical wavelength and haze optical depth. The robustness of the detection algorithm is demonstrated through its application to visible band imagery of seven Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) scenes that encompass diverse surface cover and atmospheric characteristics. A methodology for utilizing the transformed image to radiometrically compensate visible band imagery is presented and quantitatively tested in the correction of an example ETM+ scene.
GEOSCAN ID219820

 
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