Progress Report for Week 7 (Jul 14 – Jul 20)
1. What did I get done this week?
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Generated OGC-TDML JSON for the HLS Burn Scars HF dataset using hls_burn_scars_tdml.py and hls_burn_scars_remote_segmentation.ipynb, with validation and schema compliance ensured using pytdml.
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Converted OGC-TDML JSON to GeoCroissant JSON-LD in the notebook OGC-TDML_to_GeoCroissant_Conversion.ipynb, with proper field mapping, validation using mlcroissant, and demonstrated dataset visualization using PyTorch and GDAL.
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Implemented an object-oriented conversion from GeoCroissant JSON-LD back to OGC-TDML JSON using GeoCroissant_to_OGC-TDML_Conversion.ipynb and geocroissant_converter_ogc-tdml.py, validated with both mlcroissant and pytdml, and demonstrated with visualization examples.
2. Plan for Next Week (Jul 21 – Jul 27):
- UMM to GeoCroissant conversion support.
3. Am I blocked on anything?
- No, I am not currently blocked on anything.
Links to Work Done:
- Public Repository: https://github.com/HarshShinde0/ZOO-AI-DATASET-MAAS/tree/main/OGC-TDML%20to%20GeoCroissant%20Support
- Updated Project Wiki Page: GSoC 2025 AI‐ready Dataset Metadata as a Service using ZOO‐Project · HarshShinde0/ZOO-AI-DATASET-MAAS Wiki · GitHub
Best Regards,
Harsh Shinde