This repository contains code used to evaluate different approaches taken to store time-series oriented, analysis ready Landsat imagery.

This project is hosted by the US Geological Survey (USGS) Earth Resources Observation and Science (EROS) Land Change Monitoring, Assessment, and Projection (LCMAP) Project. For questions regarding this source code, please contact the Landsat Contact Us page and specify USGS LCMAP in the "Regarding" section. https://landsat.usgs.gov/contactus.php

Ingest takes an ESPA scene archive and saves tiles to a Cassandra database. Create a .env file to specify your database configuration parameters.

Ingest a single file, logging all output to standard out.

python ingest /data/Landsat/some-scene.tar.gz

You can run ingest in parallel on groups of files, logging all output to a file, using a temporary directory of your choice to hold decompressed scenes.

export TEMP=/data/tmp
mkdir
nohup python ingest "/data/Landsat/*045026*" > logs/045026.log &
nohup python ingest "/data/Landsat/*045027*" > logs/045027.log &
nohup python ingest "/data/Landsat/*045028*" > logs/045028.log &
nohup python ingest "/data/Landsat/*045029*" > logs/045029.log &
nohup python ingest "/data/Landsat/*046026*" > logs/046026.log &
nohup python ingest "/data/Landsat/*046027*" > logs/046027.log &
nohup python ingest "/data/Landsat/*046028*" > logs/046028.log &
nohup python ingest "/data/Landsat/*046029*" > logs/046029.log &

pip install git+https://github.com/USGS-EROS/lcmap-ingest-py.git@master

If you would like to evaluate how this will work when installed, you should use this instead of the usual install command.

python setup.py develop