[Gdal-dev] gdal newbie-merge geotiff images
Izzy
izzybitsie at gmail.com
Wed Nov 15 15:56:47 EST 2006
I am trying to stitch together several satellite geotiff images to obtain a
world image.
The individual images display the satellite picture with black areas on the
sides of the picture itself.
So, when merging the images using gdal_merge.py some pictures are hidden
underneath the black portion of neighbour images. Couldn't use -pct option
due to images characteristics. Pls. see below the color tables in the input
images.
The original images do not have a no-data value assigned to pixels to avoid
copying them.
So, for now my only option would be to crop the black areas that are always
the same size around the image. I am trying to do this using gdalwarp, but
I still can't figure out how to obtain the georeferenced box to be used
along with -projwin option.
BTW. I haven't been able to see these images using OpenEV although I can
see them with ImageMagick. Any idea on what I may be doing wrong in
OpenEV? I do need to run openev with the "-h" option since it quits on me
when opening an image otherwise. I have been able to see other geotiffs
downloaded from Internet in openev though.
Any help on how to cut the black areas is appreciated.
Some info on 2 of the input images and the output images:
Input number 1
Origin = (45.833333,75.000000)
Pixel Size = (0.08055556,-0.08055556)
Metadata:
AREA_OR_POINT=Area
Corner Coordinates:
Upper Left ( 45.8333333, 75.0000000) (142d30'0.03"E, 0d 0'0.04"N)
Lower Left ( 45.8333333, -70.0000000) (142d30'0.03"E, 0d 0'0.04"S)
Upper Right ( 239.167, 75.000) (142d30'0.14"E, 0d 0'0.04"N)
Lower Right ( 239.167, -70.000) (142d30'0.14"E, 0d 0'0.04"S)
Center ( 142.5000000, 2.5000000) (142d30'0.08"E, 0d 0'0.00"N)
Band 1 Block=2400x3 Type=Byte, ColorInterp=Palette
Color Table (RGB with 256 entries)
0: 0,0,0,255
1: 0,0,0,255
2: 0,0,0,255
3: 0,0,0,255
4: 0,0,0,255
5: 0,0,0,255
6: 0,0,0,255
7: 0,0,0,255
8: 0,0,0,255
9: 0,0,0,255
10: 0,0,0,255
11: 0,0,0,255
12: 0,0,0,255
13: 0,0,0,255
14: 0,0,0,255
15: 0,0,0,255
16: 0,0,0,255
17: 0,0,0,255
18: 0,0,0,255
19: 0,0,0,255
20: 0,0,0,255
...............................................................rest of
values in color table look the same
Input number 2
Driver: GTiff/GeoTIFF
Size is 2400, 1800
Coordinate System is:
PROJCS["unnamed",
GEOGCS["unnamed",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.2572235629972,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT[,0.0174532925199433]],
PROJECTION["Equirectangular"],
PARAMETER["latitude_of_origin",2.5],
PARAMETER["central_meridian",-155],
PARAMETER["false_easting",0],
PARAMETER["false_northing",0],
UNIT["degree",0.01745329251994328,
AUTHORITY["EPSG","9102"]]]
Origin = (-251.537842,74.963768)
Pixel Size = (0.08051530,-0.08051530)
Metadata:
AREA_OR_POINT=Area
Corner Coordinates:
Upper Left ( -251.538, 74.964) (155d 0'0.14"W, 0d 0'0.04"N)
Lower Left ( -251.538, -69.964) (155d 0'0.14"W, 0d 0'0.04"S)
Upper Right ( -58.3011272, 74.9637681) (155d 0'0.03"W, 0d 0'0.04"N)
Lower Right ( -58.3011272, -69.9637681) (155d 0'0.03"W, 0d 0'0.04"S)
Center (-154.9194847, 2.5000000) (155d 0'0.09"W, 0d 0'0.00"N)
Band 1 Block=2400x3 Type=Byte, ColorInterp=Palette
Color Table (RGB with 256 entries)
0: 0,0,0,255
1: 0,0,0,255
2: 0,0,0,255
3: 0,0,0,255
4: 0,0,0,255
5: 0,0,0,255
6: 0,0,0,255
7: 0,0,0,255
8: 0,0,0,255
9: 0,0,0,255
10: 0,0,0,255
11: 0,0,0,255
12: 0,0,0,255
13: 0,0,0,255
14: 0,0,0,255
15: 0,0,0,255
16: 0,0,0,255
17: 0,0,0,255
18: 0,0,0,255
19: 0,0,0,255
20: 0,0,0,255
.................................................................. rest of
values in color table look the same
Output from gdal_merge.py -o <outpiut> <Input number 1> <Input number 2>
Driver: GTiff/GeoTIFF
Size is 6067, 1800
Coordinate System is:
PROJCS["unnamed",
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.2572235629972,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]],
PROJECTION["Equirectangular"],
PARAMETER["latitude_of_origin",0],
PARAMETER["central_meridian",135],
PARAMETER["false_easting",0],
PARAMETER["false_northing",0],
UNIT["unknown",1]]
Origin = (-243.264249,69.948187)
Pixel Size = (0.07772021,-0.07772021)
Metadata:
AREA_OR_POINT=Area
Corner Coordinates:
Upper Left ( -243.264, 69.948) (134d59'52.13"E, 0d 0'2.28"N)
Lower Left ( -243.264, -69.948) (134d59'52.13"E, 0d 0'2.28"S)
Upper Right ( 228.264, 69.948) (135d 0'7.38"E, 0d 0'2.28"N)
Lower Right ( 228.264, -69.948) (135d 0'7.38"E, 0d 0'2.28"S)
Center ( -7.5000000, -0.0000000) (134d59'59.76"E, 0d 0'0.00"S)
Band 1 Block=6067x1 Type=Byte, ColorInterp=Gray
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