dea-tools

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

https://github.com/geoscienceaustralia/dea-notebooks

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    2 of 63 committers (3.2%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary

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

coastal digital-earth-australia digital-elevation-model intertidal-zone coastal-change coastal-dynamics coastlines dea erosion
Last synced: 6 months ago · JSON representation

Repository

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

Basic Info
Statistics
  • Stars: 491
  • Watchers: 60
  • Forks: 134
  • Open Issues: 47
  • Releases: 27
Topics
digitalearthaustralia documentation earth-observation earthobservation geoscienceaustralia geospatial-data jupyter-notebook landsat opendatacube python remote-sensing remotesensing satellite-imagery sentinel-2 xarray
Created almost 8 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation Codeowners

README.md

Digital Earth Australia logo

DEA Notebooks

DOI Apache license PyPI Notebook testing Discord


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 Discord chat 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.

  • Beginners 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.

The cover page of 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 work as a citation to our USAGE page.

Owner

  • Name: Geoscience Australia
  • Login: GeoscienceAustralia
  • Kind: organization
  • Location: Canberra, Australia

GitHub Events

Total
  • Fork event: 7
  • Create event: 100
  • Release event: 5
  • Issues event: 22
  • Watch event: 40
  • Delete event: 80
  • Member event: 5
  • Issue comment event: 200
  • Push event: 491
  • Pull request review comment event: 57
  • Gollum event: 53
  • Pull request review event: 147
  • Pull request event: 166
Last Year
  • Fork event: 7
  • Create event: 100
  • Release event: 5
  • Issues event: 22
  • Watch event: 40
  • Delete event: 80
  • Member event: 5
  • Issue comment event: 200
  • Push event: 491
  • Pull request review comment event: 57
  • Gollum event: 53
  • Pull request review event: 147
  • Pull request event: 166

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 1,067
  • Total Committers: 63
  • Avg Commits per committer: 16.937
  • Development Distribution Score (DDS): 0.647
Past Year
  • Commits: 110
  • Committers: 17
  • Avg Commits per committer: 6.471
  • Development Distribution Score (DDS): 0.755
Top Committers
Name Email Commits
Robbi Bishop-Taylor R****r@g****u 377
Benjamin Glitsos b****p@g****m 119
Bex Dunn B****n 107
Claire c****e@g****u 63
Matthew Alger m****r@g****m 52
cbur24 C****n@g****u 48
James Miller 4****A 33
Caitlin Adams c****s@g****m 26
S M T Chua s****a@g****u 22
ClaireP c****s@g****u 19
Emma Ai e****i 16
Gianluca S. 3****S 16
Benjamin Glitsos 1****a 14
Imam Alam u****h 14
Andrew Hicks a****s@g****u 12
Matt-dea 1****a 10
Kirill Kouzoubov K****8@g****m 10
geoscience-aman 9****n 9
Toktam t****i@g****u 7
Cate Kooymans c****s@G****u 6
Gabzgit 6****t 6
Damien Ayers d****n@o****t 6
LaurenSchenk1 1****1 6
Pin Jin p****n@g****u 5
RichardScottOZ 7****Z 4
David Gavin G****s 4
Arapaut Sivaprasad a****s@w****m 4
Alex Leith a****h@g****m 3
sebfoe 6****e 3
pkilgour p****r@g****u 3
and 33 more...
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 114
  • Total pull requests: 467
  • Average time to close issues: 11 months
  • Average time to close pull requests: 17 days
  • Total issue authors: 36
  • Total pull request authors: 34
  • Average comments per issue: 1.69
  • Average comments per pull request: 1.52
  • Merged pull requests: 384
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 16
  • Pull requests: 170
  • Average time to close issues: 6 days
  • Average time to close pull requests: 2 days
  • Issue authors: 10
  • Pull request authors: 13
  • Average comments per issue: 0.63
  • Average comments per pull request: 1.37
  • Merged pull requests: 129
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • robbibt (43)
  • BexDunn (10)
  • CEKrause (7)
  • MatthewJA (6)
  • emmaai (4)
  • LaurenSchenk1 (3)
  • erialC-P (3)
  • whatnick (3)
  • cbur24 (2)
  • GL-S (2)
  • wwoodgate (2)
  • jessjaco (2)
  • juan-guerschman (2)
  • omad (2)
  • Kooie-cate (2)
Pull Request Authors
  • robbibt (186)
  • benji-glitsos-ga (57)
  • BexDunn (41)
  • GL-S (39)
  • cbur24 (23)
  • LaurenSchenk1 (16)
  • erialC-P (12)
  • margaretharrison (11)
  • emmaai (9)
  • JM-GA (9)
  • Matt-dea (9)
  • uchchwhash (5)
  • Kooie-cate (5)
  • pindge (5)
  • treefern (4)
Top Labels
Issue Labels
bug (44) new feature/enhancement (9) documentation (6) Environment/package issue (4) Sentinel-2 Collection 3 (3) help wanted (3) good first issue (3) assistance-requested (3) discussion (2) priority (2) Hacktoberfest (1)
Pull Request Labels
new feature/enhancement (6) priority (3) Sentinel-2 Collection 3 (3) bug (2) documentation (2) discussion (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 24,344 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 5
  • Total versions: 180
  • Total maintainers: 5
pypi.org: dea-tools

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

  • Versions: 180
  • Dependent Packages: 0
  • Dependent Repositories: 5
  • Downloads: 24,344 Last month
Rankings
Stargazers count: 3.3%
Forks count: 4.3%
Average: 6.3%
Dependent repos count: 6.6%
Downloads: 7.1%
Dependent packages count: 10.1%
Last synced: 6 months ago