Memory Issue

[maryloooh]

• lidar version:
• Python version: 3.7
• Operating System: Windows 10

RuntimeError: Free disk space available is 49152 bytes, whereas 2705360268 are at least necessary. You can disable this check by defining the CHECK_DISK_FREE_SPACE configuration option to FALSE.

How can I solve this? Thanks a lot!

[giswqs]

How big is your DEM? This error seems to be caused by GDAL, not the lidar package. See here.

[maryloooh]

DEM is 6GB! Does your program work only with tifs or also other formats? Maybe if I convert it to GRID it is smaller and might not give an issue? Thanks, Maria

…

On Wed, Jan 29, 2020 at 2:47 AM Qiusheng Wu ***@***.***> wrote: How big is your DEM? This error seems to be caused by GDAL <https://gdal.org/>, not the lidar package. See here <https://trac.osgeo.org/gdal/ticket/7090>. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#8>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ANOD4W5AUEDS3BAYOH5ZQ5LRABOTNANCNFSM4KMMYS5Q> .

[giswqs]

The program utilizes the LoadGDAL() function from the RichDEM package to read and write data. Therefore, it should be able to handle most common raster formats. If you DEM is too big to process in one round, you can subdivide the DEM into smaller watersheds and use a loop to run the program.

[maryloooh]

Thank you for your response! I was able to run it after moving the input and output data directory to my other drive with more free space.

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On Wed, Jan 29, 2020 at 11:16 AM Qiusheng Wu ***@***.***> wrote: The program utilizes the LoadGDAL() <https://richdem.readthedocs.io/en/latest/loading_data.html> function from the RichDEM <https://richdem.readthedocs.io/en/latest/index.html> package to read and write data. Therefore, it should be able to handle most common raster formats. If you DEM is too big to process in one round, you can subdivide the DEM into smaller watersheds and use a loop to run the program. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#8>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ANOD4W6DV446SEOOEOGNVRLRADKIRANCNFSM4KMMYS5Q> .

[giswqs]

Good to know. Thanks for the update.