| 135 | | Create a dem in exactly the same way as for fenix. This should be saved in the processing/hyperspectral/dem directory, not the owl directories, so only 1 copy is required. e.g. from the project directory type create_apl_dem.py --aster. |
| 136 | | |
| 137 | | Geocorrection is conducted in the same way as for fenix data, using APL. However, if lines need to be split an extra step is required - see "Splitting files" section below. Generate a config file using generate_apl_config.py -o processing/owl/o2014219b.cfg (make sure it begins with an '''o''') to keep processing separate from fenix. You may need to add the boresight values to the config file ( e.g. owl_boresight = 0.12 -0.32 0.32). You may also want to delete or set to false the fenix lines if only processing owl data. Make sure the project directory structure is complete (same as fenix). Submit to the grid using specim_slurm.py <config_file> (more info in the "Processing on the Slurm Grid" section below) and calculate the SCTs. Once you have done this you can generate the mapped data (102 bands) by setting owl_bandlist = ALL and setting the SCT value for each line. |
| | 135 | Create a dem in exactly the same way as for fenix. This should be saved in the processing/hyperspectral/dem directory, not the owl directories, so only 1 copy is required. e.g. from the project directory type `create_apl_dem.py --srtm`. |
| | 136 | |
| | 137 | Geocorrection is conducted in the same way as for fenix data, using APL. However, if lines need to be split an extra step is required - see "Splitting files" section below. Generate a config file using `generate_apl_config.py -o processing/owl/o2014219b.cfg` (make sure it begins with an '''o''') to keep processing separate from fenix. |
| | 138 | |
| | 139 | You may need to add the boresight values to the config file ( e.g. owl_boresight = 0.12 -0.32 0.32). You may also want to delete or set to false the fenix lines if only processing owl data. Make sure the project directory structure is complete (same as fenix). Submit to the grid using `specim_slurm.py <config_file>` (more info in the "Processing on the Slurm Grid" section below) and calculate the SCTs. Once you have done this you can generate the mapped data (102 bands) by setting owl_bandlist = ALL and setting the SCT value for each line. |
| | 140 | |
| | 141 | You will need to check the contents of the config file. You will need to specificy the DEM (SLSTR or ASTER) with the `dem_origin` key. Also check that the `dem` key contains the full path to the DEM. |