105c1af9c0
* gdal version needs to be locked in pyproject.toml to the same version in the Dockerfile. Otherwise when new versions of gdal come out, the build will attempt to use them and that may fail since the native code won't be installed and pip will try to build the wheel and fail. * Update stac-browser to 3.0.2 which fixes a build issue where upstream packages changed and previous versions (3.0.0, 3.0.1) will no longer build. * Update packages to latest versions. * Remove use of xargs and replace with a for loop to support cross-platform use of the script. * Fix retrieval of signed-in user object ID. If no value was found in the id field, then try objectId. If that is not found, then fail the script. * Pass cloudName to stac-scaler deployment so deployment works on sovereign or other non-public clouds. * Switch to stac-fastapi-pgstac, since the pgstac backend was broken out of the stac-fastapi project starting with version 2.4.6. * Update naip deployment docs to make copy/paste easier |
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docs | ||
src/azure_stac | ||
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CODE_OF_CONDUCT.md | ||
CONTRIBUTING.md | ||
Dockerfile | ||
LICENSE | ||
README.md | ||
SECURITY.md | ||
SUPPORT.md | ||
pyproject.toml |
README.md
Organizing Spaceborne Geospatial Data with SpatioTemporal Asset Catalog (STAC)
This repository contains sample solution that demonstrate how to deploy and execute Azure Orbital STAC workload on your Azure tenant. We recommend that you read the document on Organize spaceborne geospatial data with SpatioTemporal Asset Catalog (STAC) before deploying this solution.
Disclaimer: The solution and samples provided in this repository is for learning purpose only. They're intended to explore the possibilities of the Azure Services and are a starting point to developing your own solution. We recommend that you follow the security best practices as per the Microsoft documentation for individual services.
Getting Started
This repository contains Bicep templates and code samples to help you setup the Azure Orbital STAC solution. To get started, follow the steps in the deploy document to setup the Azure resources required to build your pipeline.
Once your infrastructure is setup, use the Cataloging Sample Data document to catalog the sample data provided.
Cataloged STAC Objects can be accessed through the standard STAC API Specificiation.
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.