https://github.com/opengeos/nasa-cmr-stac

A list of geospatial datasets on NASA's Common Metadata Repository (CMR)
https://github.com/opengeos/nasa-cmr-stac

geospatial nasa nasa-data satellite-imagery stac-catalog

Last synced: about 2 months ago
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A list of geospatial datasets on NASA's Common Metadata Repository (CMR)

• Host: GitHub
• URL: https://github.com/opengeos/nasa-cmr-stac
• Owner: opengeos
• License: mit
• Created: 2022-12-31T18:24:27.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-05-01T04:00:24.000Z (8 months ago)
• Last Synced: 2024-05-01T15:41:05.967Z (8 months ago)
• Topics: geospatial, nasa, nasa-data, satellite-imagery, stac-catalog
• Language: Jupyter Notebook
• Homepage:
• Size: 6.38 MB
• Stars: 14
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# NASA-CMR-STAC

[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/giswqs/NASA-CMR-STAC/blob/master/nasa_cmr_catalog.ipynb)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/NASA-CMR-STAC/HEAD?labpath=nasa_cmr_catalog.ipynb)

[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Introduction

NASA's [Common Metadata Repository (CMR)](https://cmr.earthdata.nasa.gov/) is a metadata catalog of NASA Earth Science data. This repo compiles the list of all geospatial datasets on [CMR-STAC](https://wiki.earthdata.nasa.gov/display/ED/CMR+SpatioTemporal+Asset+Catalog+%28CMR-STAC%29+Documentation) 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 on NASA's CMR in two formats:

- Tab separated values (TSV) file: [nasa_cmr_catalog.tsv](https://github.com/giswqs/NASA-CMR-STAC/blob/master/nasa_cmr_catalog.tsv)

- JSON file: [nasa_cmr_catalog.json](https://github.com/giswqs/NASA-CMR-STAC/blob/master/nasa_cmr_catalog.json)

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

```python

import pandas as pd

url = 'https://github.com/giswqs/NASA-CMR-STAC/raw/master/nasa_cmr_catalog.tsv'

df = pd.read_csv(url, sep='\t')

df.head()

```

## Related Projects

- A list of open datasets on AWS: [aws-open-data](https://github.com/giswqs/aws-open-data)

- A list of open geospatial datasets on AWS: [aws-open-data-geo](https://github.com/giswqs/aws-open-data-geo)

- A list of open geospatial datasets on AWS with a STAC endpoint: [aws-open-data-stac](https://github.com/giswqs/aws-open-data-stac)

- A list of STAC endpoints from stacindex.org: [stac-index-catalogs](https://github.com/giswqs/stac-index-catalogs)

- A list of geospatial datasets on Microsoft Planetary Computer: [Planetary-Computer-Catalog](https://github.com/giswqs/Planetary-Computer-Catalog)

- A list of geospatial datasets on Google Earth Engine: [Earth-Engine-Catalog](https://github.com/giswqs/Earth-Engine-Catalog)

- A list of geospatial datasets on NASA's Common Metadata Repository (CMR): [NASA-CMR-STAC](https://github.com/giswqs/NASA-CMR-STAC)

- A list of geospatial data catalogs: [geospatial-data-catalogs](https://github.com/giswqs/geospatial-data-catalogs)