A tool for automatically downloading Earth Observation imagery and products.

• SQLAlchemy [http://www.sqlalchemy.org]
• RSGISLib [http://www.rsgislib.org]
• ARCSI [http://arcsi.remotesensing.info]
• Requests [http://www.python-requests.org]
• Planet [https://github.com/planetlabs/planet-client-python]
• pycurl [http://pycurl.io]
• wget [https://www.gnu.org/software/wget/]
• postgresql [https://www.postgresql.org]
• psycopg2 [http://initd.org/psycopg/]
• Google Cloud Services [https://github.com/GoogleCloudPlatform/google-cloud-python]
• PyYAML [https://pyyaml.org]

For google cloud services the following dependencies need to installed.

• google-api-core
• google-cloud-core
• google-auth
• google-cloud-bigquery
• google-cloud-storage

[https://github.com/GoogleCloudPlatform/google-cloud-python]

Using conda and conda-forge the dependencies can be installed within the following command:

conda install -c conda-forge pycurl postgresql psycopg2 sqlalchemy google-cloud-storage google-cloud-bigquery arcsi wget pyyaml planet

There are a number of configuration files which need to created for the system to work

An example is within the share directory of the source code.

EODataDown uses the python logging library. A general configuration suitable for most users is installed alongside the source <install_path>/share/eodatadown. This can be edited or the EDD_LOG_CFG variable used to use a different configuration file.

• EDD_MAIN_CFG - specify the location of a JSON file configuring the system.
• EDD_LOG_CFG - specify the location of a JSON file configuring the python logging system.
• EDD_NCORES - specify the number of cores to use when running jobs which can use multiple cores.

To use this sensor you need to set up a google account and project. While the data and download is free an account is still required. See https://cloud.google.com/resource-manager/docs/creating-managing-projects

Details of the account will need to be specified in the JSON config file for the LandsatGOOG sensor.

See the following page for setting up a project:

https://cloud.google.com/resource-manager/docs/creating-managing-projects

And then the following page for setting up your credentials:

https://cloud.google.com/bigquery/docs/reference/libraries

To initialise a database use the initdb command.

initdb -D <path to data>

postgres -D <path to data>

Alternatively, you can start the database as a background service.

pg_ctl -D <path to data> -l logfile start

createdb eodd_dev_db

psql

CREATE USER eodduser WITH PASSWORD '<password>';
GRANT ALL PRIVILEGES ON DATABASE eodd_dev_db TO eodduser;