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Compression not applying when updating/exiting GeoTiff file in GDAL?



The Next CEO of Stack OverflowShould GDAL be set to produce GeoTIFF files with compression? Which algorithm should be used?gdal.py as part of bat script in windows 7How to decrease GeoTIFF file size by eliminating or negating the blackfill?Why result of merge of multiple raster is so big?Compression in GeoTIFF files with GDALExtracting 5 bands geotiff file into RGB file using GDAL?Build GEOTiff file using Python GDALGDB Compression Not Updating Base TablesIs it possible to get the compression level of a GeoTiff?Seeking workflow to build cloud optimized tif?










0















I have a GeoTiff file with dimensions 300 x 300 and 8760 bands (hourly for one full year). I am testing some code that opens the file, updates ONE band and exits - but I am finding that the file size almost doubles when I exit the file, despite the new band being the same data type etc. Code is as follows:



I am creating the GeoTiff file using the following creation options using many singular GeoTiff files:



gdal_merge.py -separate -co BIGTIFF=YES -co COMPRESS=DEFLATE -co PREDICTOR=1 -co TILED=YES -co BLOCKXSIZE=64 -co BLOCKYSIZE=64 -o block64.tif *.tif


The file size is 947MB.



I am then updating the file using the following code:



ds = gdal.Open("block64.tif", gdal.GA_Update) 

# Some simple operation to change band values
arr = ds.GetRasterBand(11).ReadAsArray() / 2
ds.GetRasterBand(11).WriteArray(arr)
ds.FlushCache()
ds = None


The file size is now 1.9GB.



My preliminary conclusion is that the compression/creation options are not being applied once I've updated and exited the file. Is there any way to re-compress/reapply the options once I close the file?










share|improve this question
























  • Compressed tiff is not optimal for updating but doubled size feels too much. Perhaps you could try something similar to the create vrt route in this wiki document trac.osgeo.org/gdal/wiki/UserDocs/…. If you do not get help from gis.stackexchange you should write and ask from the gdal-dev mailing list.

    – user30184
    yesterday











  • More of a workaround than a real answer, but you could read all of the bands, remove the file, and recreate it with your updates.

    – mikewatt
    21 hours ago












  • I could... and that's the answer I've come up with so far, but I'm trying to make the process as quick as possible and rewriting large files takes time (I'm updating files server-side and need to be quick to not impact client-side I/O requests).

    – tda
    11 hours ago















0















I have a GeoTiff file with dimensions 300 x 300 and 8760 bands (hourly for one full year). I am testing some code that opens the file, updates ONE band and exits - but I am finding that the file size almost doubles when I exit the file, despite the new band being the same data type etc. Code is as follows:



I am creating the GeoTiff file using the following creation options using many singular GeoTiff files:



gdal_merge.py -separate -co BIGTIFF=YES -co COMPRESS=DEFLATE -co PREDICTOR=1 -co TILED=YES -co BLOCKXSIZE=64 -co BLOCKYSIZE=64 -o block64.tif *.tif


The file size is 947MB.



I am then updating the file using the following code:



ds = gdal.Open("block64.tif", gdal.GA_Update) 

# Some simple operation to change band values
arr = ds.GetRasterBand(11).ReadAsArray() / 2
ds.GetRasterBand(11).WriteArray(arr)
ds.FlushCache()
ds = None


The file size is now 1.9GB.



My preliminary conclusion is that the compression/creation options are not being applied once I've updated and exited the file. Is there any way to re-compress/reapply the options once I close the file?










share|improve this question
























  • Compressed tiff is not optimal for updating but doubled size feels too much. Perhaps you could try something similar to the create vrt route in this wiki document trac.osgeo.org/gdal/wiki/UserDocs/…. If you do not get help from gis.stackexchange you should write and ask from the gdal-dev mailing list.

    – user30184
    yesterday











  • More of a workaround than a real answer, but you could read all of the bands, remove the file, and recreate it with your updates.

    – mikewatt
    21 hours ago












  • I could... and that's the answer I've come up with so far, but I'm trying to make the process as quick as possible and rewriting large files takes time (I'm updating files server-side and need to be quick to not impact client-side I/O requests).

    – tda
    11 hours ago













0












0








0








I have a GeoTiff file with dimensions 300 x 300 and 8760 bands (hourly for one full year). I am testing some code that opens the file, updates ONE band and exits - but I am finding that the file size almost doubles when I exit the file, despite the new band being the same data type etc. Code is as follows:



I am creating the GeoTiff file using the following creation options using many singular GeoTiff files:



gdal_merge.py -separate -co BIGTIFF=YES -co COMPRESS=DEFLATE -co PREDICTOR=1 -co TILED=YES -co BLOCKXSIZE=64 -co BLOCKYSIZE=64 -o block64.tif *.tif


The file size is 947MB.



I am then updating the file using the following code:



ds = gdal.Open("block64.tif", gdal.GA_Update) 

# Some simple operation to change band values
arr = ds.GetRasterBand(11).ReadAsArray() / 2
ds.GetRasterBand(11).WriteArray(arr)
ds.FlushCache()
ds = None


The file size is now 1.9GB.



My preliminary conclusion is that the compression/creation options are not being applied once I've updated and exited the file. Is there any way to re-compress/reapply the options once I close the file?










share|improve this question
















I have a GeoTiff file with dimensions 300 x 300 and 8760 bands (hourly for one full year). I am testing some code that opens the file, updates ONE band and exits - but I am finding that the file size almost doubles when I exit the file, despite the new band being the same data type etc. Code is as follows:



I am creating the GeoTiff file using the following creation options using many singular GeoTiff files:



gdal_merge.py -separate -co BIGTIFF=YES -co COMPRESS=DEFLATE -co PREDICTOR=1 -co TILED=YES -co BLOCKXSIZE=64 -co BLOCKYSIZE=64 -o block64.tif *.tif


The file size is 947MB.



I am then updating the file using the following code:



ds = gdal.Open("block64.tif", gdal.GA_Update) 

# Some simple operation to change band values
arr = ds.GetRasterBand(11).ReadAsArray() / 2
ds.GetRasterBand(11).WriteArray(arr)
ds.FlushCache()
ds = None


The file size is now 1.9GB.



My preliminary conclusion is that the compression/creation options are not being applied once I've updated and exited the file. Is there any way to re-compress/reapply the options once I close the file?







gdal geotiff-tiff compression bigtiff






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited yesterday









PolyGeo

53.8k1781245




53.8k1781245










asked yesterday









tdatda

221214




221214












  • Compressed tiff is not optimal for updating but doubled size feels too much. Perhaps you could try something similar to the create vrt route in this wiki document trac.osgeo.org/gdal/wiki/UserDocs/…. If you do not get help from gis.stackexchange you should write and ask from the gdal-dev mailing list.

    – user30184
    yesterday











  • More of a workaround than a real answer, but you could read all of the bands, remove the file, and recreate it with your updates.

    – mikewatt
    21 hours ago












  • I could... and that's the answer I've come up with so far, but I'm trying to make the process as quick as possible and rewriting large files takes time (I'm updating files server-side and need to be quick to not impact client-side I/O requests).

    – tda
    11 hours ago

















  • Compressed tiff is not optimal for updating but doubled size feels too much. Perhaps you could try something similar to the create vrt route in this wiki document trac.osgeo.org/gdal/wiki/UserDocs/…. If you do not get help from gis.stackexchange you should write and ask from the gdal-dev mailing list.

    – user30184
    yesterday











  • More of a workaround than a real answer, but you could read all of the bands, remove the file, and recreate it with your updates.

    – mikewatt
    21 hours ago












  • I could... and that's the answer I've come up with so far, but I'm trying to make the process as quick as possible and rewriting large files takes time (I'm updating files server-side and need to be quick to not impact client-side I/O requests).

    – tda
    11 hours ago
















Compressed tiff is not optimal for updating but doubled size feels too much. Perhaps you could try something similar to the create vrt route in this wiki document trac.osgeo.org/gdal/wiki/UserDocs/…. If you do not get help from gis.stackexchange you should write and ask from the gdal-dev mailing list.

– user30184
yesterday





Compressed tiff is not optimal for updating but doubled size feels too much. Perhaps you could try something similar to the create vrt route in this wiki document trac.osgeo.org/gdal/wiki/UserDocs/…. If you do not get help from gis.stackexchange you should write and ask from the gdal-dev mailing list.

– user30184
yesterday













More of a workaround than a real answer, but you could read all of the bands, remove the file, and recreate it with your updates.

– mikewatt
21 hours ago






More of a workaround than a real answer, but you could read all of the bands, remove the file, and recreate it with your updates.

– mikewatt
21 hours ago














I could... and that's the answer I've come up with so far, but I'm trying to make the process as quick as possible and rewriting large files takes time (I'm updating files server-side and need to be quick to not impact client-side I/O requests).

– tda
11 hours ago





I could... and that's the answer I've come up with so far, but I'm trying to make the process as quick as possible and rewriting large files takes time (I'm updating files server-side and need to be quick to not impact client-side I/O requests).

– tda
11 hours ago










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