Git Product home page Git Product logo

fc's Introduction

Fractional Cover (fc)

Build Status Coverage Status

Fractional Cover measures the photosynthetic, non-photosynthetic and bare earth components of a Landsat image.

Fractional cover is available as a part of Digital Earth Australia environment modules on the NCI. These can be used after logging into the NCI and running:

module load dea

Setup on VDI

The first time you try to use raijin PBS commands from VDI, you will need to run:

$ remote-hpc-cmd init

See http://vdi.nci.org.au/help#heading=h.u1kl1j7vdt16 for more details.

You will also need to setup datacube to work from VDI and raijin.

$ ssh raijin "cat .pgpass" >> ~/.pgpass
$ chmod 0600 ~/.pgpass

See http://geoscienceaustralia.github.io/digitalearthau/connect/nci_basics.html for full details.

Running

The Fractional Cover application works in 2 parts:

  1. Creating the task list
  2. Check for unexpected existing files - these were most likely created during an run that did not successfully finish.
  3. Submit the job to raijin.

To run fractional cover:

$ module use /g/data/v10/public/modules/modulefiles/
$ module load dea
This will list the available app configs::
$ datacube-fc list ls5_fc_albers.yaml ls7_fc_albers.yaml ls8_fc_albers.yaml

To submit the job to raijin, the datacube-fc app has a the datacube-fc submit command: This command kick off two stage PBS job

Stage 1 (Generate task file):

The task-app machinery loads a config file, from a path specified on the command line, into a dict.

If dry is enabled, a dummy DatasetType is created for tasks generation without indexing the product in the database. If dry run is disabled, generate tasks into file and queue PBS job to process them.

Stage 2 (Run):
During normal run, following are performed:
  1. Tasks (loadables (nbart,ps,dsm) + output targets) shall be yielded for dispatch to workers.
  2. Load data
  3. Run FC algorithm
  4. Attach metadata
  5. Write output files and
  6. Finally index the newly created FC output files

If dry run is enabled, application only prepares a list of output files to be created and does not record anything in the database.

Usage: datacube-fc submit [OPTIONS]

Options:

  • -q, --queue [normal|express] The queue to use, either normal or express
  • -P, --project TEXT The project to use
  • --year TEXT Limit the process to a particular year
  • --no-qsub Skip submitting job
  • --tag TEXT Unique id for the job
  • --app-config PATH Fractional Cover app configuration file
  • --dry-run Do not record anything into the database
  • -C, --config, --config_file TEXT Datacube config file (by default uses the currently loaded AGDC module)
  • -v, --verbose Use multiple times for more verbosity
  • --help Show help message.

Tracking progress

$ qstat -u $USER

$ qcat 7517348.r-man2 | head

$ qcat 7517348.r-man2 | tail

$ qps 7517348.r-man2

File locations

The config file (eg. ls5_fc_albers.yaml) specifies the app settings, and is found in the module.

You will need to check the folder of the latest dea module:

ls /g/data/v10/public/modules/dea/<YYYYMMDD>/lib/python3.6/site-packages/fc/config

The config file lists the output location and file_path_template``, as shown in this snippet:

source_type: ls5_nbar_albers
output_type: ls5_fc_albers

description: Landsat 5 Fractional Cover 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577)
product_type: fractional_cover

location: '/g/data/fk4/datacube/002/'
file_path_template: 'LS5_TM_FC/{tile_index[0]}_{tile_index[1]}/LS5_TM_FC_3577_{tile_index[0]}_{tile_index[1]}_{start_time}_v{version}.nc'

So here the output files are saved to /g/data/fk4/datacube/002/FC/LS5_TM_FC/<tile_index>/*.nc

License

This repository is licensed under the Apache License 2.0. See the LICENSE file in this repository for details.

Contacts

Geoscience Australia developers:

Joshua Sixsmith [email protected]

Jeremy Hooke [email protected]

Damien Ayers [email protected]

Algorithm developer:

Peter Scarth [email protected]

fc's People

Contributors

andrewdhicks avatar gypsybojangles avatar harshurampur avatar jeremyh avatar kirill888 avatar kodexp avatar omad avatar santoshamohan avatar simonaoliver avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.