Create COGs and STAC for Multiple Datasets related to cyclones

[siddharth0248]

Description

We aim to create Cloud Optimized GeoTIFFs (COGs) and generate corresponding STAC metadata for the following datasets:

• GOES16 (Bands 2, 8, 13)
• IMERG
• MODIS IR
• VIIRS IR
• CYGNSS

Requirements

1. Event-Based Clipping:

   • COGs should be clipped to the specified area of interest relevant to the event.

2. STAC Metadata:

   • Generate STAC metadata for each dataset.
     e.g. goes-16-hurricane-name

3. 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: []
• Sample Datasets: []
• COGs for Area of Interest: []

Tasks

• Implement cogify function for each dataset.
• Clip COGs to the area of interest for the specific event.
• Generate STAC metadata for the processed COGs.
• Contribute missing cogify implementations to stactools.
• Validate generated COGs and STAC metadata.

Notes

• Ensure compatibility with existing stactools modules where applicable.
• Validate that the clipped COGs align accurately with the defined area of interest.

[siddharth0248]

[siddharth0248]

@j08lue @gadomski @amarouane-ABDELHAK @acblackford
I will add details in this ticket

[abarciauskas-bgse]

@siddharth0248 do you think we could use titiler-cmr for some of these datasets? Specifically if they are gridded datasets. I'm not sure which specific products are intended to be used, so if I had that information I could say for sure if we could visualize them with titiler-cmr. We wouldn't be able to clip them but if we could configure the maps themselves (assuming maps embedded in a story) are zoomed into the appropriate bbox, titiler-cmr could still work well.

[siddharth0248]

We can leverage it for a few datasets like IMERG. @amarouane-ABDELHAK what is your say?