Repositories
The repositories included in the EOAP project are:
- "Application Package and CWL as a solution for EO portability"
- "Understanding STAC for input/output data modelling in EO Applications"
- "Quickwin - A simple Application Package for getting started"
- "Mastering EO Application Packaging with CWL"
- "Quickwin - An Application Package with inline Python code"
- "Open and reproducible EO Application Package"
- "Inference with the EO Application Package"
In each repository section are provided badges for status and stability, along with links to the repository itself and its online documentation.
Application Package and CWL as a solution for Earth Observation portability
This documentation provides an introduction to CWL as a solution for the portability of EO applications.
- Documentation available at: https://eoap.github.io/cwl-eoap/
- Repository available at: https://github.com/eoap/cwl-eoap
Understanding STAC for input/output data modelling in Earth Observation Applications
Documentation and notebooks for understanding the role of STAC as input/output data manifests in EO applications and a hands-on with real-life scenarios.
- Documentation available at: https://eoap.github.io/stac-eoap/
- Repository available at: https://github.com/eoap/stac-eoap
Quickwin - A simple Application Package for getting started
This tutorial is designed for developers, scientists, and EO enthusiasts who want to get started with the EO Application Package.
- Documentation available at: https://eoap.github.io/quickwin
- Repository available at: https://github.com/eoap/quickwin
Mastering Earth Observation Application Packaging with CWL
This tutorial is designed for developers, scientists, and EO enthusiasts who want to enhance their skills in creating and sharing EO Application Packages.
- Documentation available at: https://eoap.github.io/mastering-app-package
- Repository available at: https://github.com/eoap/mastering-app-package
Quickwin - An Application Package with inline Python code
This tutorial is designed for developers, scientists, and Earth observation enthusiasts who want to get started with the EO Application Package.
- Documentation available at: https://eoap.github.io/quickwin-inline-code/
- Repository available at: https://github.com/eoap/quickwin-inline-code
OGC API Processes with ZOO Project
This tutorial is designed for developers, scientists, and Earth observation enthusiasts who want to get acquainted with the ZOO-Project OGC API Processes implementation to deploy and run Application Packages as web services
- Documentation available at: https://eoap.github.io/ogc-api-processes-with-zoo/
- Repository available at: https://github.com/eoap/ogc-api-processes-with-zoo/
Open and reproducible EO Application Package
Many cloud-based solutions for workflows in EO are available to users today, but only few support reproducibility or comply with FAIR data principles.
This short tutorial demonstrates how EO Application Packages meet these requirements.
- Documentation available at: https://eoap.github.io/open-reproducible-app-package
- Repository available at: https://github.com/eoap/open-reproducible-app-package
Inference with the EO Application Package
This tutorial addresses the packaging of the inference using an ONNX model.
- Documentation available at: https://eoap.github.io/inference-eoap
- Repository available at: https://github.com/eoap/inference-eoap