geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, and STAC Index.
https://github.com/opengeos/geospatial-data-catalogs
Category: Sustainable Development
Sub Category: Curated Lists
Keywords
amazon aws cloud-computing earth-engine geospatial geospatial-data nasa-data opan-data open-access satellite-imagery
Keywords from Contributors
earthengine gdal geopandas routing parallelism dataviz hydrology polars optical accessors
Last synced: about 18 hours ago
JSON representation
Repository metadata
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
- Host: GitHub
- URL: https://github.com/opengeos/geospatial-data-catalogs
- Owner: opengeos
- License: mit
- Created: 2022-12-22T19:54:55.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2025-04-25T04:56:39.000Z (2 days ago)
- Last Synced: 2025-04-25T05:34:52.040Z (2 days ago)
- Topics: amazon, aws, cloud-computing, earth-engine, geospatial, geospatial-data, nasa-data, opan-data, open-access, satellite-imagery
- Language: Jupyter Notebook
- Homepage:
- Size: 221 MB
- Stars: 562
- Watchers: 24
- Forks: 48
- Open Issues: 1
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
geospatial-data-catalogs
Introduction
Some of the popular cloud-computing platforms (e.g., AWS, Google Earth Engine, Microsoft Planetary Computer, NASA's Common Metadata Repository (CMR)) host a lot of publicly available geospatial datasets. This repo compiles the list of all geospatial datasets on these platforms as a CSV file and as a JSON file, making it easier to find and use them programmatically. The list is updated daily.
Usage
This repo provides the list of geospatial datasets in two formats:
Tab separated values (TSV) format
- AWS Open Data: aws_open_datasets.tsv
- AWS Open Geospatial Data: aws_geo_datasets.tsv
- AWS Open Geospatial Data with STAC endpoint: aws_stac_catalogs.tsv
- STAC Index Catalogs: stac_catalogs.tsv
- Earth Engine Catalog: gee_catalog.tsv
- Planetary Computer Catalog: pc_catalog.tsv
- NASA CMR STAC Catalog: nasa_cmr_catalog.tsv
JSON format
- AWS Open Data: aws_open_datasets.json
- AWS Open Geospatial Data: aws_geo_datasets.json
- AWS Open Geospatial Data with STAC endpoint: aws_stac_catalogs.json
- STAC Index Catalogs: stac_catalogs.json
- Earth Engine Catalog: gee_catalog.json
- Planetary Computer Catalog: pc_catalog.json
- NASA CMR STAC Catalog: nasa_cmr_catalog.json
Examples
The TSV file can be easily read into a Pandas DataFrame using the following code:
import pandas as pd
url = 'https://github.com/opengeos/geospatial-data-catalogs/raw/master/aws_geo_datasets.tsv'
df = pd.read_csv(url, sep='\t')
df.head()
Relevant Projects
- A list of open datasets on AWS: aws-open-data
- A list of open geospatial datasets on AWS: aws-open-data-geo
- A list of open geospatial datasets on AWS with a STAC endpoint: aws-open-data-stac
- A list of STAC endpoints from stacindex.org: stac-index-catalogs
- A list of geospatial datasets on Microsoft Planetary Computer: Planetary-Computer-Catalog
- A list of geospatial datasets on Google Earth Engine: Earth-Engine-Catalog
- A list of geospatial datasets on NASA's Common Metadata Repository (CMR): NASA-CMR-STAC
- A list of geospatial data catalogs: geospatial-data-catalogs
- The Maxar Open Data STAC Catalog: maxar-open-data
Owner metadata
- Name: Open Geospatial Solutions
- Login: opengeos
- Email: [email protected]
- Kind: organization
- Description: A collection of open-source software packages for the geospatial community
- Website: https://opengeos.github.io
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/129896036?v=4
- Repositories: 1
- Last ynced at: 2023-04-06T18:19:50.442Z
- Profile URL: https://github.com/opengeos
GitHub Events
Total
- Watch event: 38
- Push event: 191
- Pull request event: 2
- Fork event: 7
Last Year
- Watch event: 38
- Push event: 191
- Pull request event: 2
- Fork event: 7
Committers metadata
Last synced: 6 days ago
Total Commits: 863
Total Committers: 4
Avg Commits per committer: 215.75
Development Distribution Score (DDS): 0.013
Commits in past year: 365
Committers in past year: 2
Avg Commits per committer in past year: 182.5
Development Distribution Score (DDS) in past year: 0.003
| Name | Commits | |
|---|---|---|
| GitHub Action | a****n@g****m | 852 |
| Qiusheng Wu | g****s@g****m | 9 |
| pre-commit-ci[bot] | 6****] | 1 |
| Rambaud Pierrick | 1****u | 1 |
Committer domains:
- github.com: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 0
Total pull requests: 4
Average time to close issues: N/A
Average time to close pull requests: about 2 months
Total issue authors: 0
Total pull request authors: 2
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull request: 3
Bot issues: 0
Bot pull requests: 3
Past year issues: 0
Past year pull requests: 2
Past year average time to close issues: N/A
Past year average time to close pull requests: about 6 hours
Past year issue authors: 0
Past year pull request authors: 2
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 1
Top Issue Authors
Top Pull Request Authors
- pre-commit-ci[bot] (3)
- 12rambau (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- ad-m/github-push-action master composite
- leafmap *
Score: 7.719573989259581