[GRASS-user] January 6, 2014 - Landsat 8 Reprocessing Details

[Helmut Kudrnovsky]

fyi:

http://landsat.usgs.gov/calibration_notices.php

Several calibration parameter updates will be implemented as part of the
Landsat 8 data reprocessing on February 3, 2014 that will result in improved
product quality. This reprocessing campaign includes all previously
implemented calibration parameter updates that have been implemented since
launch.  These changes are described in more detail below.

The OLI detector linearization correction coefficients have been refined for
all spectral bands to decrease striping in imagery over dark uniform areas. 
The absolute radiometric accuracy is not significantly affected.

The OLI radiance conversion coefficients are also improved slightly by
correcting for a slight error in pre-launch calibration that resulted in
product radiance values with as much as a +2% error.  A slight improvement
to the absolute accuracy of the reflectance values, mainly the cirrus band,
will also be implemented.  The relative gains will also be updated to reduce
striping in the cirrus band, but this will not affect the absolute
radiometric accuracy.

The previously mentioned TIRS temperature offset (See the November 15, 2013
Notice) will also be implemented on February 3, 2014.  These offsets remove
0.29 W/m^2/sr/um from TIRS band 10 and 0.51 W/m^2/sr/um from TIRS band 11,
relative to products processed prior to February 3, 2014.  These offsets
will remove an average error introduced by stray light coming from outside
the TIRS field of view and will improve the data accuracy for typical
growing season data (10° to 30° C) where the surrounding areas are similar
in temperature. The RMS variability of this correction is 0.12 W/m^2/sr/um
for TIRS band 10 and but remains greater at 0.2 W/m^2/sr/um for TIRS band
11.  Due to the larger calibration uncertainty associated with TIRS band 11,
it is recommended that users refrain from relying on band 11 data in
quantitative analysis of the TIRS data, such as the use of split window
techniques for atmospheric correction and retrieval of surface temperature
values.





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best regards
Helmut
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