QuickBird: Difference between revisions
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Panchromatic band (61-72cm pixel res) | Panchromatic band (61-72cm pixel res) | ||
From the whitepaper [http://www.apollomapping.com/wp-content/user_uploads/2011/09/Radiance_Conversion_of_QuickBird_Data.pdf Radiance Conversion of QuickBird Data]: | |||
<blockquote>QuickBird products are delivered to the customer as radiometrically corrected image pixels (qPixel,Band). | |||
Radiometric correction includes a dark offset subtraction and a non-uniformity correction (detector-to-detector | |||
relative gain). Corrected counts are specific to the QuickBird instrument and therefore QuickBird imagery MUST be | |||
converted to spectral radiance before radiometric/spectral analysis or comparison with imagery from other sensors in | |||
a radiometric/spectral manner.</blockquote> | |||
== Import == | == Import == |
Revision as of 12:56, 27 July 2013
Overview
- Wikipedia's QuickBird entry
Scenes are 16.5km x 16.5km.
Data is 11-bit integers stored in a 16-bit integer field. Thus band minimum = 0, band maximum = 2047.
Multi-spectral bands (2.44 - 2.88m pixel res)
band 1 = blue 2 = green 3 = red 4 = Near IR
Panchromatic band (61-72cm pixel res)
From the whitepaper Radiance Conversion of QuickBird Data:
QuickBird products are delivered to the customer as radiometrically corrected image pixels (qPixel,Band).
Radiometric correction includes a dark offset subtraction and a non-uniformity correction (detector-to-detector relative gain). Corrected counts are specific to the QuickBird instrument and therefore QuickBird imagery MUST be converted to spectral radiance before radiometric/spectral analysis or comparison with imagery from other sensors in
a radiometric/spectral manner.
Import
Data comes in a GeoTiff file. Use the `gdalinfo` program to check projection settings. You can then set up a location based on this, e.g. UTM zone 23 South.
- Once in the appropriate location import with the r.in.gdal module
Cleanup
Rename the NIR band
g.rename QBird_Multichrom.4,QBird_Multichrom.NIR
Red and blue bands are swapped, so fix that by renaming them. (see [1])
g.rename QBird_Multichrom.blue,QBird_Multichrom.realred g.rename QBird_Multichrom.red,QBird_Multichrom.blue g.rename QBird_Multichrom.realred,QBird_Multichrom.red
No data is set to 0, so convert that to NULL with r.null:
for BAND in red green blue NIR ; do r.null QBird_Multichrom.$BAND setnull=0 echo $BAND: r.info -r QBird_Multichrom.$BAND echo done
Set color tables appropriately for 11-bit data:
for BAND in red green blue NIR ; do
r.colors QBird_Multichrom.$BAND color=rules << EOF
0 black
2047 white
EOF
done
It is not necessarily needed, but if you wish to rescale to 8-bit data you can use r.rescale as follows:
for BAND in red green blue NIR ; do r.rescale in=QBird_Multichrom.$BAND from=0,2047 \ out=QBird_Multichrom255.$BAND to=0,255 done
Display the 3-band RGB image:
d.rgb r=QBird_Multichrom.red g=QBird_Multichrom.green b=QBird_Multichrom.blue
If the image is excessively dark you might try using the i.landsat.rgb module to auto-balance the colors and redraw:
i.landsat.rgb r=QBird_Multichrom.red g=QBird_Multichrom.green b=QBird_Multichrom.blue d.redraw
Pan Sharpening
Use the i.fusion.brovey module.
i.fusion.brovey -q ms1=qbird_green ms2=qbird_nir ms3=qbird_red \ pan=qbird_pan outputprefix=brov