Correcting ColorInterp on Jpeg2000 NAIP imagery using .aux.xmlTilecache positions my gdal_translated map 20km south of where I want itUnderstanding the Map Tile creation propertiesRasterize shapefile to a new gtiff file with gdal_rasterize utility,however,I cannot open the tif file?Convert grey,green,blue to red,green,blue tiffHow to remove compression from jpeg2000 NAIP imagery?Add hillshade to naip imageryGetting origin as long, lat in GDAL without knowing EPSGHow can a make a netcdf with subgroups smaller?Trying to store Metadata in GeoPDFWriting no_data_value within jpeg2000[kdu] with gdal_translate
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Correcting ColorInterp on Jpeg2000 NAIP imagery using .aux.xml
Tilecache positions my gdal_translated map 20km south of where I want itUnderstanding the Map Tile creation propertiesRasterize shapefile to a new gtiff file with gdal_rasterize utility,however,I cannot open the tif file?Convert grey,green,blue to red,green,blue tiffHow to remove compression from jpeg2000 NAIP imagery?Add hillshade to naip imageryGetting origin as long, lat in GDAL without knowing EPSGHow can a make a netcdf with subgroups smaller?Trying to store Metadata in GeoPDFWriting no_data_value within jpeg2000[kdu] with gdal_translate
Using GDAL 2.4.0 with OpenJPEG 2000 v2.3.0.
gdalinfo reports all four bands of NAIP imagery as "Unknown" colorinterp. Sample image here: https://prd-tnm.s3.amazonaws.com/StagedProducts/NAIP/id_2015/46115/m_4611501_sw_11_1_20150702_20151207.jp2
This messes up apps like mapserver, which are then unable to serve out color images.
I attempted to add colorinterp information via an .aux.xml sidecar file. Gdalinfo reports that the sidecar file is detected and read, but the colorinterp is still unknown. Sidecar file contents below (what is shown is the entire file).
Googling around, I see reference to the openjpeg2000 driver using the sidecar file for georeferencing, but no mention of using it for colorinterp metadata. Can I fix the colorinterp using a sidecar file?
I know I can fix colorinterp by doing gdal_translate, but I have an awful lot of these files (~4TB), and any gdal_translation produces files 3x - 4x bigger. I want to avoid having the files get that big. I suspect the commercial encoders USDA is using are better than OpenJPEG2000, so I'd love to just leave the files alone and interpret the existing bands correctly. How would I do that?
<PAMDataset>
<PAMRasterBand band="1">
<ColorInterp>Red</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="2">
<ColorInterp>Green</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="3">
<ColorInterp>Blue</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="4">
<ColorInterp>Grey</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
</PAMDataset>
gdal jpeg-2000 naip
New contributor
add a comment |
Using GDAL 2.4.0 with OpenJPEG 2000 v2.3.0.
gdalinfo reports all four bands of NAIP imagery as "Unknown" colorinterp. Sample image here: https://prd-tnm.s3.amazonaws.com/StagedProducts/NAIP/id_2015/46115/m_4611501_sw_11_1_20150702_20151207.jp2
This messes up apps like mapserver, which are then unable to serve out color images.
I attempted to add colorinterp information via an .aux.xml sidecar file. Gdalinfo reports that the sidecar file is detected and read, but the colorinterp is still unknown. Sidecar file contents below (what is shown is the entire file).
Googling around, I see reference to the openjpeg2000 driver using the sidecar file for georeferencing, but no mention of using it for colorinterp metadata. Can I fix the colorinterp using a sidecar file?
I know I can fix colorinterp by doing gdal_translate, but I have an awful lot of these files (~4TB), and any gdal_translation produces files 3x - 4x bigger. I want to avoid having the files get that big. I suspect the commercial encoders USDA is using are better than OpenJPEG2000, so I'd love to just leave the files alone and interpret the existing bands correctly. How would I do that?
<PAMDataset>
<PAMRasterBand band="1">
<ColorInterp>Red</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="2">
<ColorInterp>Green</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="3">
<ColorInterp>Blue</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="4">
<ColorInterp>Grey</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
</PAMDataset>
gdal jpeg-2000 naip
New contributor
I guess that the real problem is not with colorinterpretation but with the 4 band source data. Select the bands which you want to use for the RGB presentation with for examplePROCESSING "BANDS=1,2,3"
.
– user30184
Mar 24 at 12:16
genius! can you make that an answer so I can accept it?
– Bryce Nordgren
2 days ago
add a comment |
Using GDAL 2.4.0 with OpenJPEG 2000 v2.3.0.
gdalinfo reports all four bands of NAIP imagery as "Unknown" colorinterp. Sample image here: https://prd-tnm.s3.amazonaws.com/StagedProducts/NAIP/id_2015/46115/m_4611501_sw_11_1_20150702_20151207.jp2
This messes up apps like mapserver, which are then unable to serve out color images.
I attempted to add colorinterp information via an .aux.xml sidecar file. Gdalinfo reports that the sidecar file is detected and read, but the colorinterp is still unknown. Sidecar file contents below (what is shown is the entire file).
Googling around, I see reference to the openjpeg2000 driver using the sidecar file for georeferencing, but no mention of using it for colorinterp metadata. Can I fix the colorinterp using a sidecar file?
I know I can fix colorinterp by doing gdal_translate, but I have an awful lot of these files (~4TB), and any gdal_translation produces files 3x - 4x bigger. I want to avoid having the files get that big. I suspect the commercial encoders USDA is using are better than OpenJPEG2000, so I'd love to just leave the files alone and interpret the existing bands correctly. How would I do that?
<PAMDataset>
<PAMRasterBand band="1">
<ColorInterp>Red</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="2">
<ColorInterp>Green</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="3">
<ColorInterp>Blue</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="4">
<ColorInterp>Grey</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
</PAMDataset>
gdal jpeg-2000 naip
New contributor
Using GDAL 2.4.0 with OpenJPEG 2000 v2.3.0.
gdalinfo reports all four bands of NAIP imagery as "Unknown" colorinterp. Sample image here: https://prd-tnm.s3.amazonaws.com/StagedProducts/NAIP/id_2015/46115/m_4611501_sw_11_1_20150702_20151207.jp2
This messes up apps like mapserver, which are then unable to serve out color images.
I attempted to add colorinterp information via an .aux.xml sidecar file. Gdalinfo reports that the sidecar file is detected and read, but the colorinterp is still unknown. Sidecar file contents below (what is shown is the entire file).
Googling around, I see reference to the openjpeg2000 driver using the sidecar file for georeferencing, but no mention of using it for colorinterp metadata. Can I fix the colorinterp using a sidecar file?
I know I can fix colorinterp by doing gdal_translate, but I have an awful lot of these files (~4TB), and any gdal_translation produces files 3x - 4x bigger. I want to avoid having the files get that big. I suspect the commercial encoders USDA is using are better than OpenJPEG2000, so I'd love to just leave the files alone and interpret the existing bands correctly. How would I do that?
<PAMDataset>
<PAMRasterBand band="1">
<ColorInterp>Red</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="2">
<ColorInterp>Green</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="3">
<ColorInterp>Blue</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="4">
<ColorInterp>Grey</ColorInterp>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="COMPRESSION">JPEG2000</MDI>
</Metadata>
</PAMRasterBand>
</PAMDataset>
gdal jpeg-2000 naip
gdal jpeg-2000 naip
New contributor
New contributor
New contributor
asked Mar 23 at 21:50
Bryce NordgrenBryce Nordgren
82
82
New contributor
New contributor
I guess that the real problem is not with colorinterpretation but with the 4 band source data. Select the bands which you want to use for the RGB presentation with for examplePROCESSING "BANDS=1,2,3"
.
– user30184
Mar 24 at 12:16
genius! can you make that an answer so I can accept it?
– Bryce Nordgren
2 days ago
add a comment |
I guess that the real problem is not with colorinterpretation but with the 4 band source data. Select the bands which you want to use for the RGB presentation with for examplePROCESSING "BANDS=1,2,3"
.
– user30184
Mar 24 at 12:16
genius! can you make that an answer so I can accept it?
– Bryce Nordgren
2 days ago
I guess that the real problem is not with colorinterpretation but with the 4 band source data. Select the bands which you want to use for the RGB presentation with for example
PROCESSING "BANDS=1,2,3"
.– user30184
Mar 24 at 12:16
I guess that the real problem is not with colorinterpretation but with the 4 band source data. Select the bands which you want to use for the RGB presentation with for example
PROCESSING "BANDS=1,2,3"
.– user30184
Mar 24 at 12:16
genius! can you make that an answer so I can accept it?
– Bryce Nordgren
2 days ago
genius! can you make that an answer so I can accept it?
– Bryce Nordgren
2 days ago
add a comment |
1 Answer
1
active
oldest
votes
MapServer can handle images with any number of bands but there are some limits in what can be rendered on screen. Images which have only 1 band or 1 data band and either an alpha band or a mask band are rendered by default as greyscale. Coloured presentation is possible through FORMATOPTION PALETTE https://mapserver.org/mapfile/outputformat.html.
Images which have 3 data bands and perhaps an extra alpha/mask band are rendered as RGB color image. Images which have 4 or more data bands get rendered as greyscale. For rendering multiband images as RGB user must select which bands to use with the PROCESSING "BANDS=[R],[G],[B]"
directive https://mapserver.org/input/raster.html. Other processing directives, like PROCESSING "SCALE="
may be useful for improving the result.
For using 3 first bands of your image for rendering add this line into your LAYER:
PROCESSING "BANDS=1,2,3"
add a comment |
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1 Answer
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active
oldest
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votes
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votes
MapServer can handle images with any number of bands but there are some limits in what can be rendered on screen. Images which have only 1 band or 1 data band and either an alpha band or a mask band are rendered by default as greyscale. Coloured presentation is possible through FORMATOPTION PALETTE https://mapserver.org/mapfile/outputformat.html.
Images which have 3 data bands and perhaps an extra alpha/mask band are rendered as RGB color image. Images which have 4 or more data bands get rendered as greyscale. For rendering multiband images as RGB user must select which bands to use with the PROCESSING "BANDS=[R],[G],[B]"
directive https://mapserver.org/input/raster.html. Other processing directives, like PROCESSING "SCALE="
may be useful for improving the result.
For using 3 first bands of your image for rendering add this line into your LAYER:
PROCESSING "BANDS=1,2,3"
add a comment |
MapServer can handle images with any number of bands but there are some limits in what can be rendered on screen. Images which have only 1 band or 1 data band and either an alpha band or a mask band are rendered by default as greyscale. Coloured presentation is possible through FORMATOPTION PALETTE https://mapserver.org/mapfile/outputformat.html.
Images which have 3 data bands and perhaps an extra alpha/mask band are rendered as RGB color image. Images which have 4 or more data bands get rendered as greyscale. For rendering multiband images as RGB user must select which bands to use with the PROCESSING "BANDS=[R],[G],[B]"
directive https://mapserver.org/input/raster.html. Other processing directives, like PROCESSING "SCALE="
may be useful for improving the result.
For using 3 first bands of your image for rendering add this line into your LAYER:
PROCESSING "BANDS=1,2,3"
add a comment |
MapServer can handle images with any number of bands but there are some limits in what can be rendered on screen. Images which have only 1 band or 1 data band and either an alpha band or a mask band are rendered by default as greyscale. Coloured presentation is possible through FORMATOPTION PALETTE https://mapserver.org/mapfile/outputformat.html.
Images which have 3 data bands and perhaps an extra alpha/mask band are rendered as RGB color image. Images which have 4 or more data bands get rendered as greyscale. For rendering multiband images as RGB user must select which bands to use with the PROCESSING "BANDS=[R],[G],[B]"
directive https://mapserver.org/input/raster.html. Other processing directives, like PROCESSING "SCALE="
may be useful for improving the result.
For using 3 first bands of your image for rendering add this line into your LAYER:
PROCESSING "BANDS=1,2,3"
MapServer can handle images with any number of bands but there are some limits in what can be rendered on screen. Images which have only 1 band or 1 data band and either an alpha band or a mask band are rendered by default as greyscale. Coloured presentation is possible through FORMATOPTION PALETTE https://mapserver.org/mapfile/outputformat.html.
Images which have 3 data bands and perhaps an extra alpha/mask band are rendered as RGB color image. Images which have 4 or more data bands get rendered as greyscale. For rendering multiband images as RGB user must select which bands to use with the PROCESSING "BANDS=[R],[G],[B]"
directive https://mapserver.org/input/raster.html. Other processing directives, like PROCESSING "SCALE="
may be useful for improving the result.
For using 3 first bands of your image for rendering add this line into your LAYER:
PROCESSING "BANDS=1,2,3"
answered 16 hours ago
user30184user30184
29.8k23057
29.8k23057
add a comment |
add a comment |
Bryce Nordgren is a new contributor. Be nice, and check out our Code of Conduct.
Bryce Nordgren is a new contributor. Be nice, and check out our Code of Conduct.
Bryce Nordgren is a new contributor. Be nice, and check out our Code of Conduct.
Bryce Nordgren is a new contributor. Be nice, and check out our Code of Conduct.
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I guess that the real problem is not with colorinterpretation but with the 4 band source data. Select the bands which you want to use for the RGB presentation with for example
PROCESSING "BANDS=1,2,3"
.– user30184
Mar 24 at 12:16
genius! can you make that an answer so I can accept it?
– Bryce Nordgren
2 days ago