A bunch of quick notes to help get started....

---- The sha256 hash for the image.
    - sha256:229f23cabef65e4a3196b84493398ae02db2f31657664c0e6389f26e905eeb14


---- docker load < espa-science_2.16.2.tar.gz
    - Creates losrlcmp02.cr.usgs.gov:5000/espa/science:2.16.2

    - You will need to re-tag it to a different image name or your internal
      docker repo.


---- "processing.conf"
    - Required for the espa processing software.  We use a volume mount to get
      it into the correct internal container location.
      /home/espa/.usgs/espa/processing.conf


---- Auxiliary input data
    - Please find both the L8 and L4-7 auxiliary data here. And current as
      possible as of 20170417.

      https://edclpdsftp.cr.usgs.gov/downloads/auxiliaries/l8sr_auxiliary/
      lasrc_aux.2013-2017.tar.gz (Extracted needs about 377GB)

      https://edclpdsftp.cr.usgs.gov/downloads/auxiliaries/ledaps_auxiliary/
      ledaps_aux.1978-2017.tar.gz (Extracted needs about 82GB)

    - The auxiliary mount mentioned below in the run example needs to look
      like the following.

      /path_to_aux/L8   (Extract LaSRC archive here)

      /path_to_aux/L17  (Extract Ledaps archive here)


---- Example command line from our mesos setup minus most of the mesos
     additions to it:

    docker run \
        --cpu-shares 2048 \
        --memory 5368709120 \
        -v <host output location>:/home/espa/output-data:rw \
        -v <host auxiliaries location>:/usr/local/auxiliaries:ro \
        -v <host input data location>:<container input data location>:ro \
        -v <host directory path containing processing.conf":/home/espa/.usgs/espa:ro \
        -v <mesos sandbox>:/mnt/mesos/sandbox \
        --net bridge --user=<user id>:<group id> \
        --workdir=/mnt/mesos/sandbox \
        --entrypoint /bin/sh \
        --name <name>
        losrlcmp02.cr.usgs.gov:5000/espa/science:2.16.2 -c /entrypoint.sh cli.py --order-id LE70300352017075EDC00 --input-product-id LE07_L1TP_030035_20170316_20170412_01_T1 --product-type landsat --output-format gtiff --input-url file://<internal path to>/LE07_L1TP_030035_20170316_20170412_01_A1.tar.gz --include-top-of-atmosphere --include-brightness-temperature --include-surface-reflectance --bridge-mode


---- Command line notes
    - "--bridge-mode" will place it into the output location under
      /output_location/yyyy/ppp/rrr

    - If you remove "--bridge-mode" from the command line it will place it
      into the output location under /output_location/<order id>

    - --order-id can be whatever you want except a path
      (never tested using paths)

    - --input-product-id can be either an old Landsat Scene ID or the newer
      Collection IDs

    - --input-url both "file://" and "http://" are supported