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TitleDevelopment of a spectral error model for surface bidirectional reflectance factor (BRF) retrieval
AuthorBergeron, M; Oneill, N T; Teillet, P M
SourceCanadian Journal of Remote Sensing vol. 24, no. 2, 1998 p. 128-132,
Alt SeriesNatural Resources Canada, Contribution Series 20181158
PublisherInforma UK Limited
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramCanada Centre for Remote Sensing Divsion
Released2014 07 31
AbstractThe calibration and validation (cal/val) of remote sensing data is an essential step in the development of reproducible remote sensing data products. A key element of the cal/val procedure is the atmospheric correction of the at-altitude imagery (apparent at-sensor bidirectional reflectance factor (BRF)) to achieve intrinsic reflectance properties of the surface (surface BRF). This requires a standard procedure for the estimation of surface BRF retrieval errors. We present here the fundamental concepts necessary for the development of a spectral surface BRF error model that we hope could eventually serve as a confidence indicator in any operational atmospheric correction system.

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