The tasselled cap transformation (TCT) is a useful tool for compressing spectral data into a few bands associated with physical scene characteristics with minimal informa- tion loss. TCT was originally evolved from the Landsat... more
The tasselled cap transformation (TCT) is a useful tool for compressing spectral data
into a few bands associated with physical scene characteristics with minimal informa-
tion loss. TCT was originally evolved from the Landsat multi-spectral scanner (MSS)
launched in 1972 and is widely adapted to modern sensors. In this study, we derived
the TCT coefficients for the newly launched (2013) operational land imager (OLI)
sensor on-board Landsat 8 for at-satellite reflectance. A newly developed standardized
mechanism was used to transform the principal component analysis (PCA)-based
rotated axes through Procrustes rotation (PR) conformation according to the Landsat
thematic mapper (TM)-based tasselled cap space. Firstly, OLI data were transformed
into TM TCT space directly and considered as a dummy target. Then, PCA was applied
on the original scene. Finally, PR was applied to get the transformation results in the
best conformation to the target image. New coefficients were analysed in detail to
confirm Landsat 8-based TCT as a continuity of the original tasselled cap idea. Results
show that newly derived set of coefficients for Landsat OLI is in continuation of its
predecessors and hence provide data continuity through TCT since 1972 for remote
sensing of surface features such as vegetation, albedo and water. The newly derived
TCT for OLI will also be very useful for studying biomass estimation and primary
production for future studies.
into a few bands associated with physical scene characteristics with minimal informa-
tion loss. TCT was originally evolved from the Landsat multi-spectral scanner (MSS)
launched in 1972 and is widely adapted to modern sensors. In this study, we derived
the TCT coefficients for the newly launched (2013) operational land imager (OLI)
sensor on-board Landsat 8 for at-satellite reflectance. A newly developed standardized
mechanism was used to transform the principal component analysis (PCA)-based
rotated axes through Procrustes rotation (PR) conformation according to the Landsat
thematic mapper (TM)-based tasselled cap space. Firstly, OLI data were transformed
into TM TCT space directly and considered as a dummy target. Then, PCA was applied
on the original scene. Finally, PR was applied to get the transformation results in the
best conformation to the target image. New coefficients were analysed in detail to
confirm Landsat 8-based TCT as a continuity of the original tasselled cap idea. Results
show that newly derived set of coefficients for Landsat OLI is in continuation of its
predecessors and hence provide data continuity through TCT since 1972 for remote
sensing of surface features such as vegetation, albedo and water. The newly derived
TCT for OLI will also be very useful for studying biomass estimation and primary
production for future studies.
