Contribute artifacts
Contribute datasets, pipelines, and tools
Datasets
The CoRE stack can be conceptualized as being comprised of three layers: Datasets built through rigorously evaluated methodologies, Analytics derived from these datasets, and Tools built using these datasets and analytics. While some datasets are static, most of them are dynamic and generated through automated pipelines that process geospatial data, apply machine learning models, etc. Likewise for analytics computed on the datasets. Take a look at various datasets and methodologies that are available in the CoRE stack.
We welcome you to contribute your own datasets and methodologies too and enrich the CoRE stack. This detailed guide explains how to write pipelines to extract data from underlying assets or run models to create new data. A wishlist of new datasets we would like to pull is also available. Write to us at contact@core-stack.org to discuss how you can contribute and add to this.
All CoRE stack artefacts are in the open-source [Github repo, deep-wiki documentation].
Pipelines
Analytics and dynamic datasets that need to be updated regularly require software pipelines that can periodically download data like satellite imagery, process it locally on on cloud infrastructures like GEE, and generate and export new datasets. The CoRE stack implements several dozen pipelines that refresh rainfall data, generate land-use layers, compute change statistics, etc. See the datasets and methodologies to understand what kind of pipelines have been implemented.
We welcome you to contribute your own pipelines and enrich the CoRE stack. This detailed guide explains how to write pipelines to generate and refresh data. A wishlist of new pipelines we would like to pull is also available. Write to us at contact@core-stack.org to discuss how you can contribute and add to this.
All CoRE stack artefacts are in the open-source [Github repo, deep-wiki documentation].
Tools
Commons Connect, Know Your Landscape, and a Sub-district level GEE app to browse data, are examples of tools built on the CoRE stack datasets and analytics. You can build your own tools. Check the APIs and artifacts to learn what kind of outputs are readily available.
And let us know of your innovations! Write to us at contact@core-stack.org to discuss any ideas if you want to brainstorm.
All CoRE stack artefacts are in the open-source [Github repo, deep-wiki documentation].