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40
1,327,104,000
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1,327,190,400
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1,327,276,800
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1,327,968,000
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1,328,140,800
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1,328,227,200
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1,328,313,600
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1,328,400,000
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1,328,486,400
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1,328,572,800
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1,328,659,200
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1,328,832,000
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1,328,918,400
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1,329,004,800
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1,329,091,200
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1,329,177,600
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1,329,264,000
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1,329,350,400
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1,329,436,800
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1,329,523,200
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1,329,609,600
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1,329,696,000
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1,329,782,400
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1,329,868,800
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1,329,955,200
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1,330,041,600
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1,330,128,000
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1,330,214,400
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1,330,300,800
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1,330,387,200
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1,330,473,600
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1,330,560,000
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1,330,646,400
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1,330,732,800
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1,330,819,200
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1,330,905,600
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1,330,992,000
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1,331,078,400
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1,331,164,800
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1,331,251,200
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1,331,337,600
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1,331,424,000
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1,331,510,400
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1,331,596,800
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1,331,683,200
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1,331,769,600
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1,331,856,000
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Check out the documentation for more information.

Wildfire Labels Package

Files

  • labels.parquet

    • Columns: timestamp, label
    • One row per UTC day.
  • mask.parquet

    • Columns: mask_id, training_mask
    • Single row containing the fixed training mask.
  • meta.json

    • Grid and spatial metadata.
  • summary.json

    • Mask optimization summary.

Usage

  • Load labels.parquet for day-wise labels.
  • Load mask.parquet once and apply the same mask for all days.
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