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Terrain correction / Orthorectification with gdal


MODIS Imagery Orthorectification (Open Source)How to decrease GeoTIFF file size by eliminating or negating the blackfill?Re-projecting from Polar projection to EPSG:4326?Cropping EUDEM with GDAL creates zig-zag terrainSubdividing large files due to gdalwarp - too big image sizeprojecting INSAT3D L1B data from HDF5 to GeotiffOrthorectification in QGIS (ORFEO OTB)gdal: apply orthorectification to ogr datasetError in orthorectification of Radarsat-2 scenes with GDAL and RPC + DEM informationBlank Image After Terrain CorrectionOrthorectification with R






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








1















Since MODIS Imagery Orthorectification (Open Source) had no answer, I will try to get one here with a similar problem:



I got some raster datasets with GCPs in lat/lon, but without height information. When I use gdal to project/re-project the data, I get an offset of approx. 2km, which I think comes from terrain distortion.
Using ESA's SNAP Toolbox, I get the results I want, but they are using the actual SRTM DEM in the background.



Is there a way to provide gdal with the raster, the GCPs and a DEM to get everything done "at once" (or in several steps)?



So far, my approach (which gives the offset) looks like this:



gdal_translate -gcp pix1 line1 x1 y1 -gcp pix2 line2 x2 y2 (...) input.tif output.tif


The data are SAR raster from ERS-1, which might have something to do with the offset due to the viewing angle of the sensor










share|improve this question
























  • For orthorectification I would have a try with OSSIM but it probably requires sensor models too. Offset of 2km feels rather big if the view angle is not very low and/or terrain doesn't have great variation in heights.

    – user30184
    Oct 25 '17 at 14:59












  • Since the datasets are SAR images, view angles are indeed relaitvely low and elevation differs as well, because my region of interest is at the northern edge of the Alps. I have had no experience with OSSIM whatsoever, do you have any hints for me?

    – s6hebern
    Oct 26 '17 at 7:10











  • Start from trac.osgeo.org/ossim, see from trac.osgeo.org/ossim/wiki/sensors that ERS-SAR is a supported sensor. I fear that OSSIM developers are not active in gis.stackexchange but the mailing list is responsive.

    – user30184
    Oct 26 '17 at 7:16











  • Cool, thank you. I'll post here if I get any feasible results.

    – s6hebern
    Oct 26 '17 at 8:33

















1















Since MODIS Imagery Orthorectification (Open Source) had no answer, I will try to get one here with a similar problem:



I got some raster datasets with GCPs in lat/lon, but without height information. When I use gdal to project/re-project the data, I get an offset of approx. 2km, which I think comes from terrain distortion.
Using ESA's SNAP Toolbox, I get the results I want, but they are using the actual SRTM DEM in the background.



Is there a way to provide gdal with the raster, the GCPs and a DEM to get everything done "at once" (or in several steps)?



So far, my approach (which gives the offset) looks like this:



gdal_translate -gcp pix1 line1 x1 y1 -gcp pix2 line2 x2 y2 (...) input.tif output.tif


The data are SAR raster from ERS-1, which might have something to do with the offset due to the viewing angle of the sensor










share|improve this question
























  • For orthorectification I would have a try with OSSIM but it probably requires sensor models too. Offset of 2km feels rather big if the view angle is not very low and/or terrain doesn't have great variation in heights.

    – user30184
    Oct 25 '17 at 14:59












  • Since the datasets are SAR images, view angles are indeed relaitvely low and elevation differs as well, because my region of interest is at the northern edge of the Alps. I have had no experience with OSSIM whatsoever, do you have any hints for me?

    – s6hebern
    Oct 26 '17 at 7:10











  • Start from trac.osgeo.org/ossim, see from trac.osgeo.org/ossim/wiki/sensors that ERS-SAR is a supported sensor. I fear that OSSIM developers are not active in gis.stackexchange but the mailing list is responsive.

    – user30184
    Oct 26 '17 at 7:16











  • Cool, thank you. I'll post here if I get any feasible results.

    – s6hebern
    Oct 26 '17 at 8:33













1












1








1








Since MODIS Imagery Orthorectification (Open Source) had no answer, I will try to get one here with a similar problem:



I got some raster datasets with GCPs in lat/lon, but without height information. When I use gdal to project/re-project the data, I get an offset of approx. 2km, which I think comes from terrain distortion.
Using ESA's SNAP Toolbox, I get the results I want, but they are using the actual SRTM DEM in the background.



Is there a way to provide gdal with the raster, the GCPs and a DEM to get everything done "at once" (or in several steps)?



So far, my approach (which gives the offset) looks like this:



gdal_translate -gcp pix1 line1 x1 y1 -gcp pix2 line2 x2 y2 (...) input.tif output.tif


The data are SAR raster from ERS-1, which might have something to do with the offset due to the viewing angle of the sensor










share|improve this question
















Since MODIS Imagery Orthorectification (Open Source) had no answer, I will try to get one here with a similar problem:



I got some raster datasets with GCPs in lat/lon, but without height information. When I use gdal to project/re-project the data, I get an offset of approx. 2km, which I think comes from terrain distortion.
Using ESA's SNAP Toolbox, I get the results I want, but they are using the actual SRTM DEM in the background.



Is there a way to provide gdal with the raster, the GCPs and a DEM to get everything done "at once" (or in several steps)?



So far, my approach (which gives the offset) looks like this:



gdal_translate -gcp pix1 line1 x1 y1 -gcp pix2 line2 x2 y2 (...) input.tif output.tif


The data are SAR raster from ERS-1, which might have something to do with the offset due to the viewing angle of the sensor







gdal terrain orthorectification radar






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Oct 25 '17 at 20:29









PolyGeo

53.9k1781245




53.9k1781245










asked Oct 25 '17 at 9:45









s6heberns6hebern

619210




619210












  • For orthorectification I would have a try with OSSIM but it probably requires sensor models too. Offset of 2km feels rather big if the view angle is not very low and/or terrain doesn't have great variation in heights.

    – user30184
    Oct 25 '17 at 14:59












  • Since the datasets are SAR images, view angles are indeed relaitvely low and elevation differs as well, because my region of interest is at the northern edge of the Alps. I have had no experience with OSSIM whatsoever, do you have any hints for me?

    – s6hebern
    Oct 26 '17 at 7:10











  • Start from trac.osgeo.org/ossim, see from trac.osgeo.org/ossim/wiki/sensors that ERS-SAR is a supported sensor. I fear that OSSIM developers are not active in gis.stackexchange but the mailing list is responsive.

    – user30184
    Oct 26 '17 at 7:16











  • Cool, thank you. I'll post here if I get any feasible results.

    – s6hebern
    Oct 26 '17 at 8:33

















  • For orthorectification I would have a try with OSSIM but it probably requires sensor models too. Offset of 2km feels rather big if the view angle is not very low and/or terrain doesn't have great variation in heights.

    – user30184
    Oct 25 '17 at 14:59












  • Since the datasets are SAR images, view angles are indeed relaitvely low and elevation differs as well, because my region of interest is at the northern edge of the Alps. I have had no experience with OSSIM whatsoever, do you have any hints for me?

    – s6hebern
    Oct 26 '17 at 7:10











  • Start from trac.osgeo.org/ossim, see from trac.osgeo.org/ossim/wiki/sensors that ERS-SAR is a supported sensor. I fear that OSSIM developers are not active in gis.stackexchange but the mailing list is responsive.

    – user30184
    Oct 26 '17 at 7:16











  • Cool, thank you. I'll post here if I get any feasible results.

    – s6hebern
    Oct 26 '17 at 8:33
















For orthorectification I would have a try with OSSIM but it probably requires sensor models too. Offset of 2km feels rather big if the view angle is not very low and/or terrain doesn't have great variation in heights.

– user30184
Oct 25 '17 at 14:59






For orthorectification I would have a try with OSSIM but it probably requires sensor models too. Offset of 2km feels rather big if the view angle is not very low and/or terrain doesn't have great variation in heights.

– user30184
Oct 25 '17 at 14:59














Since the datasets are SAR images, view angles are indeed relaitvely low and elevation differs as well, because my region of interest is at the northern edge of the Alps. I have had no experience with OSSIM whatsoever, do you have any hints for me?

– s6hebern
Oct 26 '17 at 7:10





Since the datasets are SAR images, view angles are indeed relaitvely low and elevation differs as well, because my region of interest is at the northern edge of the Alps. I have had no experience with OSSIM whatsoever, do you have any hints for me?

– s6hebern
Oct 26 '17 at 7:10













Start from trac.osgeo.org/ossim, see from trac.osgeo.org/ossim/wiki/sensors that ERS-SAR is a supported sensor. I fear that OSSIM developers are not active in gis.stackexchange but the mailing list is responsive.

– user30184
Oct 26 '17 at 7:16





Start from trac.osgeo.org/ossim, see from trac.osgeo.org/ossim/wiki/sensors that ERS-SAR is a supported sensor. I fear that OSSIM developers are not active in gis.stackexchange but the mailing list is responsive.

– user30184
Oct 26 '17 at 7:16













Cool, thank you. I'll post here if I get any feasible results.

– s6hebern
Oct 26 '17 at 8:33





Cool, thank you. I'll post here if I get any feasible results.

– s6hebern
Oct 26 '17 at 8:33










1 Answer
1






active

oldest

votes


















0














Here is the command I use to do it all at once, plus some other helpful settings to help it run a bit quicker. If needed, you can also specify coordinates to chip the image using the -te flag. This command will chip the image, change the output format, and orthorectify using a DEM in a single step. You can download SRTM here: http://srtm.csi.cgiar.org/srtmdata/




gdalwarp -multi -wo NUM_THREADS=ALL_CPUS -co NUM_THREADS=ALL_CPUS --config GDAL_CACHEMAX 1536 -wm 1536 -rpc -to RPC_DEM=$DEM_FILE -of GTiff -te $aoi_coords $inFile $outFile





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    Here is the command I use to do it all at once, plus some other helpful settings to help it run a bit quicker. If needed, you can also specify coordinates to chip the image using the -te flag. This command will chip the image, change the output format, and orthorectify using a DEM in a single step. You can download SRTM here: http://srtm.csi.cgiar.org/srtmdata/




    gdalwarp -multi -wo NUM_THREADS=ALL_CPUS -co NUM_THREADS=ALL_CPUS --config GDAL_CACHEMAX 1536 -wm 1536 -rpc -to RPC_DEM=$DEM_FILE -of GTiff -te $aoi_coords $inFile $outFile





    share|improve this answer










    New contributor




    MikeF22 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.
























      0














      Here is the command I use to do it all at once, plus some other helpful settings to help it run a bit quicker. If needed, you can also specify coordinates to chip the image using the -te flag. This command will chip the image, change the output format, and orthorectify using a DEM in a single step. You can download SRTM here: http://srtm.csi.cgiar.org/srtmdata/




      gdalwarp -multi -wo NUM_THREADS=ALL_CPUS -co NUM_THREADS=ALL_CPUS --config GDAL_CACHEMAX 1536 -wm 1536 -rpc -to RPC_DEM=$DEM_FILE -of GTiff -te $aoi_coords $inFile $outFile





      share|improve this answer










      New contributor




      MikeF22 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






















        0












        0








        0







        Here is the command I use to do it all at once, plus some other helpful settings to help it run a bit quicker. If needed, you can also specify coordinates to chip the image using the -te flag. This command will chip the image, change the output format, and orthorectify using a DEM in a single step. You can download SRTM here: http://srtm.csi.cgiar.org/srtmdata/




        gdalwarp -multi -wo NUM_THREADS=ALL_CPUS -co NUM_THREADS=ALL_CPUS --config GDAL_CACHEMAX 1536 -wm 1536 -rpc -to RPC_DEM=$DEM_FILE -of GTiff -te $aoi_coords $inFile $outFile





        share|improve this answer










        New contributor




        MikeF22 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.










        Here is the command I use to do it all at once, plus some other helpful settings to help it run a bit quicker. If needed, you can also specify coordinates to chip the image using the -te flag. This command will chip the image, change the output format, and orthorectify using a DEM in a single step. You can download SRTM here: http://srtm.csi.cgiar.org/srtmdata/




        gdalwarp -multi -wo NUM_THREADS=ALL_CPUS -co NUM_THREADS=ALL_CPUS --config GDAL_CACHEMAX 1536 -wm 1536 -rpc -to RPC_DEM=$DEM_FILE -of GTiff -te $aoi_coords $inFile $outFile






        share|improve this answer










        New contributor




        MikeF22 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.









        share|improve this answer



        share|improve this answer








        edited Apr 3 at 15:38





















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        answered Apr 3 at 15:32









        MikeF22MikeF22

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        11




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