geospatial-data-catalogs

A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

https://github.com/opengeos/geospatial-data-catalogs

Science Score: 26.0%

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
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.0%) to scientific vocabulary

Keywords

amazon aws cloud-computing earth-engine geospatial geospatial-data nasa-data opan-data open-access satellite-imagery
Last synced: 6 months ago · JSON representation

Repository

A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

Basic Info
  • Host: GitHub
  • Owner: opengeos
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 309 MB
Statistics
  • Stars: 589
  • Watchers: 24
  • Forks: 53
  • Open Issues: 0
  • Releases: 0
Topics
amazon aws cloud-computing earth-engine geospatial geospatial-data nasa-data opan-data open-access satellite-imagery
Created about 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

geospatial-data-catalogs

Colab Binder License

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

JSON format

Examples

The TSV file can be easily read into a Pandas DataFrame using the following code:

```python import pandas as pd

url = 'https://github.com/opengeos/geospatial-data-catalogs/raw/master/awsgeodatasets.tsv' df = pd.read_csv(url, sep='\t') df.head() ```

Relevant Projects

Owner

  • Name: Open Geospatial Solutions
  • Login: opengeos
  • Kind: organization
  • Email: opengeos@outlook.com

A collection of open-source software packages for the geospatial community

GitHub Events

Total
  • Watch event: 53
  • Push event: 293
  • Pull request event: 3
  • Fork event: 10
Last Year
  • Watch event: 53
  • Push event: 293
  • Pull request event: 3
  • Fork event: 10

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 1,006
  • Total Committers: 4
  • Avg Commits per committer: 251.5
  • Development Distribution Score (DDS): 0.012
Past Year
  • Commits: 368
  • Committers: 3
  • Avg Commits per committer: 122.667
  • Development Distribution Score (DDS): 0.005
Top Committers
Name Email Commits
GitHub Action a****n@g****m 994
Qiusheng Wu g****s@g****m 9
pre-commit-ci[bot] 6****]@u****m 2
Rambaud Pierrick 1****u@u****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 3
Past Year
  • Issues: 0
  • Pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 2
Top Authors
Issue Authors
Pull Request Authors
  • pre-commit-ci[bot] (3)
  • 12rambau (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/update_datasets.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • ad-m/github-push-action master composite
requirements.txt pypi
  • leafmap *