Download - Landsat 7 Natural Colors
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Landsat Natural Colors
Using Global Mapper 11 & Photoshop CS3
Spring 2010
C.D.G.
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Using Global Mapper 11 and Photoshop CS3
Landsat natural color
The main difficulty of producing a fairly natural color Landsat image is to keep the high resolution (14.25m) of the panchromatic layer without distorting it on pixel level by overlaying the lower (28.5m) resolution of the 3 visible layers of Red, Green, Blue. The other difficulty is the natural skyhaze that distorts visible data according to the specific atmospheric conditions of the given moment of the satellite shot. And the last difficulty is the various differentiantions between the tiles, due to the aforementioned factor. I describe here a method that has given good results. -
C.D.G.
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Collecting Data pages 4-11
Processing Data in Global Mapper
pages 12-19
Correcting colors in Photoshop pages 20-30
a very basic knowledge of Global Mapper, Photoshop and GIS concepts is required
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we start our search for
Landsat data by heading to the
right tool
we select path and row for our Area of interest
(AoI)
http://landsat.usgs.gov/tools_latlong.php
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5Obtaining the needed data (path) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
we then head for the actual
data site
we select the path
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6Obtaining the needed data (row) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
we select the row
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7Obtaining the needed data (specifically) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
we select : ETM-Earthsat-Orthorectified
or ETM-Earthsat-
GLS2000
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8Obtaining the needed data (file 1) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
we select : ...80.tif.gz
it is the panchromatic
high resolu-tion file
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we select : ...30.tif.gz
it is a black & white file
which collects the sensible in red spectrum
Obtaining the needed data (file 2) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
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we select : ...20.tif.gz
it is a black & white file
which collects the sensible in
green spectrum
Obtaining the needed data (file 3) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
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we select : ...10.tif.gz
it is a black & white file which
collects the sensible in blue
spectrum
Obtaining the needed data (file 4) ftp://ftp.glcf.umiacs.umd.edu/glcf/Landsat/WRS2/
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Changing Projection (from UTM)
after opening all the files in
Global Mapper: we proceed
to the Tools > Configure > Projection
and change the UTM projec-tion to the
Geographic (Latitude/Longi-
tude).
in Global Mapper
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Changing Projection (to Geographic)
we specify our chosen Geographic Projection
[we change the projection to Geographic if
we have to deal with a number
of different zone files]
in Global Mapper
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we keep visible all ...80.tif.gz of our area of
interest
we set RGP(0,0,0) as transparent color, as we
want to get rid of the black collar of the
tile(s)
[if we have more than 1 tile, we try to render their color in-
tensity as close as possible. This is needed only
for the ...80 files]
in Global Mapper
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[we will continue with an example -a small area- for the rest of the
procedure]
in Global Mapper
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we create tile(s) for our AoI
in Global Mapper
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in exporting options, we choose the
export bounds to be cropped to the selected
area(s)
in Global Mapper
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and we export as e.g. 80.tif,
generating also its tfw file
in Global Mapper
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we repeat the above steps (hiding and showing accordingly)
3 more times for ...30.tif.gz, ...20.tif.gz
and ...10.tif.gz saving as e.g. 30.tif, 20.tif and 10.tif
no need for tfw files here
in Global Mapper
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we open in Photoshop
80.tif, 30.tif, 20.tif and 10.tif
we select all
30.tif and copy
in Photoshop
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we create a new but RGB file
we flatten image
we select the
red channel and paste
we repeat
“select all, copy and paste”
respectively in green channel
for 20.tif and in blue for 10.tif
in Photoshop
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we select the RGB channel
in Photoshop
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we autolevel
colors
in Photoshop
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we resize the image as the image size of
80.tif and save it as 321.tif
in Photoshop
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we select all 80.tif and copy
we paste the 80 layer setting its blending mode
at luminosity over the com-
posite 321 layer
we merge visible layers and save as
80.tif
in Photoshop
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we select Image > Adjustments > Match Color and
set as Source Image the
321.tif
in Photoshop
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we adjust: Brightness -20 Contrast +20
(or according to our taste...)
in Photoshop
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last step is to select (magic wand) the sea area and fill it with a consis-
tent color
(it doesn’t look so bad in our
example, but it is a big problem when working
with larger areas and much worse with many Land-
sat tiles)
in Photoshopin Photoshop
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we save as 80.tif
in Photoshop
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30Finished !
as we kept the same name
(80.tif ) for our file with its
relevant 80.tfw file, it is still
georeferenced (Geographic Projection,
WGS84 Datum) if opened in GM
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as an illustration of the results of the afore-
mentioned process with a multi-tiled Landsat
area, the links to the right point to 4 georefer-
enced pdf tiles for the island of Crete in Greece
derived out of 4 Landsat 7 GLS2000 tiles
these pdf files may be opened in Acrobat
9 Pro Extended and extracted as JPEG2000
(jp2) image files, then imported back in Global
Mapper 11 (georeferenced pdf of Acrobat are
not readable as such by GM)
exporting them as geopdf files via GM pro-
duced an undesired crosshair grid, hence they
were initially exported from GM as JPEG2000
and imported in Acrobat 9
1 of 4 tiles: http://www.scribd.com/doc/29026342/Crete-West-Landsat-7-ETM 2 of 4 tiles: http://www.scribd.com/doc/29025501/Crete-East-Landsat-7-ETM
3 of 4 tiles: http://www.scribd.com/doc/29026066/Crete-East-Central-Landsat-7-ETM
4 of 4 tiles: http://www.scribd.com/doc/29026859/Crete-West-Central-Landsat-7-ETM
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a vision
“...All spatial data collected with federal funds must be made available to the
public at the cost of distribution, without copyright restrictions...”
President of the USA Clinton, 1994
a dream
“All spatial data collected and/or pro-cessed with public funds must be made available to the public at the cost of dis-tribution, without copyright restrictions.
Only spatial data unavailable through
private organizations may be considered as of military interest and thus remain
unaccessible to the public for the duration of the above provision”
C.D.G.
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Spring 2010
C.D.G.
NASA Landsat Program
U.S.
Geological Survey
University of Maryland
University
of California San Diego
Thanks to: