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Digital Earth Australia Notebooks

Hosts Jupyter Notebooks, Python scripts and workflows for analysing Digital Earth Australia (DEA) satellite data and derived products.
https://github.com/GeoscienceAustralia/dea-notebooks

Category: Sustainable Development
Sub Category: Knowledge Platforms

Keywords

digitalearthaustralia documentation earth-observation earthobservation geoscienceaustralia geospatial-data jupyter-notebook landsat opendatacube python remote-sensing remotesensing satellite-imagery sentinel-2 xarray

Keywords from Contributors

gdal ogc-services geodesy geophysics satellites water coastal wps wms insar

Last synced: about 8 hours ago
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Repository metadata

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

README.md

DEA Notebooks

DOI Apache license PyPI Notebook testing

This is the DEA Notebooks and DEA Tools repository of Digital Earth Australia.
These can be viewed on the DEA Knowledge Hub or
run on the DEA Sandbox
or the National Computational Infrastructure (NCI).

Contribute — DEA Notebooks is open-source and we would love your contribution!
Learn how to contribute below.

License — The code in this repository is licensed under the Apache
License, Version 2.0. DEA
data is licensed under the Creative Commons by Attribution 4.0
license.

Documentation — See the DEA Notebooks
Wiki.

Contact — For assistance with any of these notebooks and tools,
please ask a question on our Open Data Cube Slack
channel or on the GIS Stack
Exchange
using the open-data-cube tag. You can also report an issue on this
repository.

Citation — If you use this repository in your work, please reference
it with the following citation.

Krause, C., Dunn, B., Bishop-Taylor, R., Adams, C., Burton, C., Alger,
M., Chua, S., Phillips, C., Newey, V., Kouzoubov, K., Leith, A.,
Ayers, D., Hicks, A., DEA Notebooks contributors 2021. Digital Earth
Australia notebooks and tools repository. Geoscience Australia,
Canberra. https://doi.org/10.26186/145234

Introduction

The Jupyter Notebooks and Python tools in this repository are for
analysing DEA's satellite data products. The notebooks are designed to demonstrate
how to use the DEA data and tools to conduct a broad range of geospatial
analyses. They also demonstrate how to integrate with other open-source
software such as Open Data Cube and
xarray. You can see examples of
use cases on the USAGE
page.

View on the DEA Knowledge Hub

The DEA Knowledge Hub is where you can easily view the notebooks and read DEA Tools documentation. You can browse the following sections.

  • Beginner’s guide —
    Introductory notebooks aimed at introducing Jupyter Notebooks and how to load,
    plot, and interact with DEA data.
  • DEA products —
    Notebooks introducing DEA's satellite datasets and derived products,
    including how to load each dataset and any special features of the data.
  • How-to guides —
    A recipe book of simple code examples demonstrating how to perform common
    geospatial analysis tasks using DEA and open-source software.
  • Interactive apps —
    Interactive apps and widgets that require little or no coding to run.
  • Real-world examples —
    More complex case study workflows demonstrating how DEA can be
    used to address real-world problems.
  • DEA Tools Package —
    An open-source Python package containing functions and
    algorithms to assist in analysing DEA data.

Run on the DEA Sandbox

The DEA Sandbox is a free virtual environment for interacting with the notebooks and tools from your web browser. You can use the Sandbox to conduct geospatial analysis without installing anything on your computer. Learn how to use the DEA Sandbox.

Run on the NCI

The National Computational Infrastructure is a supercomputer environment available to Australian researchers, academics, and other users by negotiation. The NCI can be used for high-performance geospatial analysis. Learn how to use the NCI.

How to contribute

To get started, see these articles in the wiki.

We would also appreciate it if you could add your a citation to our
USAGE
page.

Citation (CITATION.cff)

# YAML 1.2
---
abstract: "The Digital Earth Australia notebooks and tools repository ('DEA notebooks') hosts Jupyter Notebooks, Python scripts and workflows for analysing Digital Earth Australia (DEA) satellite data and derived products. The repository is intended to provide a guide to getting started with DEA, and to showcase the wide range of geospatial analyses that can be achieved using DEA data and open-source software including Open Data Cube and xarray."
authors: 
  -
    affiliation: "Geoscience Australia"
    family-names: Krause
    given-names: Claire
    orcid: "https://orcid.org/0000-0002-6794-196X"
  -
    affiliation: "Geoscience Australia"
    family-names: Dunn
    given-names: Bex
    orcid: "https://orcid.org/0000-0001-7747-8246"
  -
    affiliation: "Geoscience Australia"
    family-names: "Bishop-Taylor"
    given-names: Robbi
    orcid: "https://orcid.org/0000-0002-1533-2599"
  -
    affiliation: FrontierSI
    family-names: Adams
    given-names: Caitlin
  -
    affiliation: "Geoscience Australia"
    family-names: Burton
    given-names: Chad
  -
    affiliation: "Geoscience Australia"
    family-names: Alger
    given-names: Matthew
    orcid: "https://orcid.org/0000-0001-5110-8845"
  -
    affiliation: "Geoscience Australia"
    family-names: Chua
    given-names: Sean
    orcid: "https://orcid.org/0000-0002-8462-3170"
  -
    family-names: Phillips
    given-names: Claire
  -
    affiliation: "Geoscience Australia"
    family-names: Newey
    given-names: Vanessa
    orcid: "https://orcid.org/0000-0003-3705-5665"
  -
    family-names: Kouzoubov
    given-names: Kirill
  -
    affiliation: "Geoscience Australia"
    family-names: Leith
    given-names: Alex
  -
    affiliation: "Geoscience Australia"
    family-names: Ayers
    given-names: Damien
  -
    affiliation: FrontierSI
    family-names: Hicks
    given-names: Andrew
  -
    family-names: "DEA Notebooks contributors"
    given-names: 
cff-version: "1.1.0"
date-released: 2021-03-30
doi: "10.26186/145234"
keywords: 
  - "Digital Earth Australia"
  - "Open Data Cube"
  - "Jupyter notebooks"
  - Xarray
  - Python
  - "Remote sensing"
  - "Earth observation"
license: "Apache-2.0"
message: "If you use any of the notebooks, code or tools in this repository in your work, please reference them using the following citation:"
repository-code: "https://github.com/GeoscienceAustralia/dea-notebooks/"
title: "Digital Earth Australia notebooks and tools repository"
version: "1.0.0"

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 1,136
Total Committers: 66
Avg Commits per committer: 17.212
Development Distribution Score (DDS): 0.651

Commits in past year: 105
Committers in past year: 14
Avg Commits per committer in past year: 7.5
Development Distribution Score (DDS) in past year: 0.724

Name Email Commits
Robbi Bishop-Taylor R****r@g****u 397
Benjamin Glitsos b****p@g****m 119
Bex Dunn B****n 108
cbur24 c****3@g****m 70
Claire c****e@g****u 63
Matthew Alger m****r@g****m 52
James Miller 4****A 33
Gianluca S. 3****S 28
Caitlin Adams c****s@g****m 27
ClaireP c****s@g****u 23
S M T Chua s****a@g****u 22
Emma Ai e****i 17
Imam Alam u****h 14
benji-glitsos-ga b****s@g****u 14
Andrew Hicks a****s@g****u 12
Kirill Kouzoubov K****8@g****m 10
Matt-dea 1****a 10
geoscience-aman 9****n 9
LaurenSchenk1 1****1 8
Toktam t****i@g****u 7
Damien Ayers d****n@o****t 6
Gabzgit 6****t 6
Cate Kooymans c****s@G****u 6
Pin Jin p****n@g****u 5
Arapaut Sivaprasad a****s@w****m 4
David Gavin G****s 4
RichardScottOZ 7****Z 4
Alex Leith a****h@g****m 3
Jenna Guffogg 3****g 3
Katey 5****e 3
and 36 more...

Committer domains:

Issue and Pull Request metadata

Last synced: 8 days ago

Total issues: 121
Total pull requests: 497
Average time to close issues: about 1 year
Average time to close pull requests: 19 days
Total issue authors: 36
Total pull request authors: 37
Average comments per issue: 1.71
Average comments per pull request: 1.49
Merged pull request: 398
Bot issues: 0
Bot pull requests: 0

Past year issues: 12
Past year pull requests: 188
Past year average time to close issues: 7 days
Past year average time to close pull requests: 2 days
Past year issue authors: 6
Past year pull request authors: 16
Past year average comments per issue: 0.75
Past year average comments per pull request: 1.35
Past year merged pull request: 133
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/GeoscienceAustralia/dea-notebooks

Top Issue Authors

  • robbibt (44)
  • BexDunn (10)
  • CEKrause (8)
  • MatthewJA (7)
  • whatnick (5)
  • erialC-P (4)
  • emmaai (4)
  • LaurenSchenk1 (3)
  • Kooie-cate (3)
  • cbur24 (2)
  • GL-S (2)
  • wwoodgate (2)
  • jessjaco (2)
  • juan-guerschman (2)
  • omad (2)

Top Pull Request Authors

  • robbibt (195)
  • benji-glitsos-ga (57)
  • GL-S (42)
  • BexDunn (41)
  • cbur24 (30)
  • LaurenSchenk1 (16)
  • margaretharrison (13)
  • erialC-P (13)
  • JM-GA (9)
  • Matt-dea (9)
  • emmaai (9)
  • jennaguffogg (6)
  • uchchwhash (5)
  • Kooie-cate (5)
  • pindge (5)

Top Issue Labels

  • bug (45)
  • new feature/enhancement (11)
  • documentation (6)
  • assistance-requested (5)
  • Environment/package issue (4)
  • Sentinel-2 Collection 3 (3)
  • help wanted (3)
  • good first issue (3)
  • discussion (2)
  • priority (2)
  • Hacktoberfest (1)

Top Pull Request Labels

  • new feature/enhancement (6)
  • priority (3)
  • Sentinel-2 Collection 3 (3)
  • bug (2)
  • documentation (2)
  • discussion (1)

Package metadata

pypi.org: dea-tools

Open-source tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

  • Homepage: https://knowledge.dea.ga.gov.au/notebooks/Tools/
  • Documentation: https://dea-tools.readthedocs.io/
  • Licenses: Apache Software License
  • Latest release: 0.4.7 (published 3 months ago)
  • Last Synced: 2025-12-11T18:03:48.620Z (14 days ago)
  • Versions: 192
  • Dependent Packages: 0
  • Dependent Repositories: 5
  • Downloads: 4,527 Last month
  • Rankings:
    • Stargazers count: 3.262%
    • Forks count: 4.293%
    • Average: 6.282%
    • Dependent repos count: 6.602%
    • Downloads: 7.129%
    • Dependent packages count: 10.126%
  • Maintainers (5)

Score: 18.921410830843303