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.

This repo provides the list of geospatial datasets in two formats:

• 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

• 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

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

import pandas as pd

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

• 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