Description
We aim to create Cloud Optimized GeoTIFFs (COGs) and generate corresponding STAC metadata for the following datasets:
Requirements
-
Event-Based Clipping:
- COGs should be clipped to the specified area of interest relevant to the event.
-
STAC Metadata:
- Generate STAC metadata for each dataset.
e.g. goes-16-hurricane-name
-
Use of stactools:
- Leverage
stactools for datasets/products it supports.
- If
stactools does not support a product, contribute a cogify function for that product.
Resources
- Code for COG Transformation: transformation_script
- Sample Datasets: s3://veda-data-store-dev/cyclone/
- COGs for Area of Interest: s3://veda-data-store-dev/cyclone/
Tasks
Notes
- Ensure compatibility with existing
stactools modules where applicable.
- Validate that the clipped COGs align accurately with the defined area of interest.
Description
We aim to create Cloud Optimized GeoTIFFs (COGs) and generate corresponding STAC metadata for the following datasets:
Requirements
Event-Based Clipping:
STAC Metadata:
e.g. goes-16-hurricane-name
Use of
stactools:stactoolsfor datasets/products it supports.stactoolsdoes not support a product, contribute acogifyfunction for that product.Resources
Tasks
cogifyfunction for each dataset.cogifyimplementations tostactools.Notes
stactoolsmodules where applicable.