samfranklin / s2-ard-processor

Sentinel 2 ARD processor

S2 ARD Processor

Docker based sentinel 2 Analysis ready production system.

Base

A base docker image packaging Dr Pete Buntings Python Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) software (https://www.arcsi.remotesensing.info/).

Based on the official ContinuumIO Miniconda3 release with python 3.5, base package contains a minimal installaition of ARCSI and its dependencies using the conda package manger, correct as of version 3.1.6 (conda reporting 3.6.1).

Build or Pull arcsi-base

Build image

docker build -t jncc/arcsi-base ./base/

OR

Pull Image direction from docker hub

docker pull jncc/arcsi-base

Usage

Run image interactively

docker run -i -v <local mount point>:/data -t jncc/arcsi-base /bin/bash

To run a container and get help on ARCSI commandline options do:

docker run -t jncc/arcsi-base arcsi.py -h

See below under "Docker example" for a more detailed Sentinel-2 example.

Docker example

docker run -i -t -v ${local_data}:/data jncc/arcsi-base \
    arcsi.py -s sen2 --stats -f KEA --fullimgouts -p RAD SHARP SATURATE CLOUDS TOPOSHADOW STDSREF DOSAOTSGL METADATA FOOTPRINT \
    --interp near --outwkt /data/${PATH_TO_OUTPUT_PROJ_WKT} --projabbv ${PROJ_ABBREVIATION} -t /data/tmp/ -o /data/output/ \
    --dem /data/${PATH_TO_DEM} -i /data/inputs/${SINGLE_INPUT_FILE}

See also

Thanks to Markus Neteler (https://github.com/mundialis/docker-arcsi), Edward P. Morris and Angelos Tzotsos for their work on the orignal ARCSI Dockerfile.