https://github.com/azure/azure-orbital-analytics-samples
Sample solution that demonstrates how to deploy and analyze spaceborne data using Azure Synapse Analytics
https://github.com/azure/azure-orbital-analytics-samples
azure-batch azure-storage cognitive-services computer-vision geospatial spaceborne synapse-analytics
Last synced: 4 months ago
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Sample solution that demonstrates how to deploy and analyze spaceborne data using Azure Synapse Analytics
- Host: GitHub
- URL: https://github.com/azure/azure-orbital-analytics-samples
- Owner: Azure
- License: mit
- Created: 2022-02-28T19:41:20.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-12T22:10:06.000Z (over 2 years ago)
- Last Synced: 2024-10-07T12:40:16.622Z (8 months ago)
- Topics: azure-batch, azure-storage, cognitive-services, computer-vision, geospatial, spaceborne, synapse-analytics
- Language: Python
- Homepage: https://aka.ms/synapse-geospatial-analytics
- Size: 44 MB
- Stars: 30
- Watchers: 10
- Forks: 24
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
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README
# Project
This repository contains sample solution that demonstrates how to deploy and execute [Geospatial Analysis using Azure Synapse Analytics](https://aka.ms/synapse-geospatial-analytics) workload on your Azure tenant. We recommend that you read the document on "Geospatial Analysis using Azure Synapse Analytics" before deploying this solution.
Disclaimer: The solution and samples provided in this repository is for learning purpose only. They're intended to explore the possibilites 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
Start by following the [README.md](./deploy/README.md) to setup the Azure resources required to execute the pipeline.
This solution uses the [Custom Vision Model](/src/aimodels) as a sample AI model to demonstrate end-to-end Azure Synapse workflow for geospatial analysis. In this sample solution, the AI model detects swimming pools for a given geospatial data.
You can use this solution to integrate other AI models. Each AI Model requires their input geospatial data to be in a specific format. When adapting this solution for a different AI Model, make sure the geospatial data transform steps are modified to adapt to the individual AI Model's needs.
## 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](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [[email protected]](mailto:[email protected]) 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](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general).
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.