Create new jobs

There are multiple ways to create new jobs depending on what you have. The section below gives a brief overview.

Note

  • Only those datasets that were correctly added to the local GeoMultiSens data storage before can be used to create a new GeoMultiSens preprocessing job (see Add new data to the database).

  • You need to set the parameter virtual_sensor_id when creating a new processing job to define which target sensor is used for spatial and and spectral homogenization. Here is an overview of pre-defined target sensors:

    virtual_sensor_id

    target sensor description

    1

    Landsat-8

    10

    Sentinel-2A 10m

    11

    Sentinel-2A 20m

    12

    Sentinel-2A 60m

    19

    Landsat-5

    20

    Landsat-7

    21

    Sentinel-2A spectral bands at Landsat pixel grid

Create a job from a list of filenames

The list of filenames refers to the filenames of the previously downloaded provider archive data (see gms_preprocessing.misc.database_tools.GMS_JOB.from_filenames() for details).

from gms_preprocessing.options.config import get_conn_database
from gms_preprocessing.misc.database_tools import GMS_JOB

job = GMS_JOB(conn_db=get_conn_database('localhost'))

job.from_filenames(
    list_filenames=['LE07_L1TP_045032_20081026_20160918_01_T1.tar.gz',
                    'LE07_L1TP_045032_20081010_20160918_01_T1.tar.gz'],
    virtual_sensor_id=1,
    comment='Two exemplary Landsat-7 scenes for application XY.')

# write the job into the GeoMultiSens metadata database
job.create()

OUT:
New job created successfully. job-ID: 26193017
The job contains:
    - 2 Landsat-7 ETM+_SLC_OFF scenes

Create a job from a list of entity IDs

Create a job from a list of scene IDs

If you have a list of GeoMultiSens scene IDs, you can also create a new processing job for them (see gms_preprocessing.misc.database_tools.GMS_JOB.from_sceneIDlist() for details):

from gms_preprocessing.options.config import get_conn_database
from gms_preprocessing.misc.database_tools import GMS_JOB

job = GMS_JOB(conn_db=get_conn_database('localhost'))
job.from_sceneIDlist(list_sceneIDs=[9390928,],
                     virtual_sensor_id=1
                     comment='Example job for only one scene with the ID 9390928.')

# write the job into the GeoMultiSens metadata database
job.create()

OUT:
New job created successfully. job-ID: 26193458
The job contains:
    - 1 Landsat-5 TM scene

Create a job from a dictionary