seed: 42
data:
  root: data
  format_version: aef_synthetic_paper_spec_v3
  train_samples: 2
  test_samples: 1
  image_size: 128
  input_sources:
    sentinel2: {timesteps: 65, channels: 5, geometry_dim: 0}
    sentinel1: {timesteps: 17, channels: 5, geometry_dim: 2}
    landsat: {timesteps: 21, channels: 7, geometry_dim: 0}
  target_sources:
    sentinel2: {channels: 5, type: continuous, weight: 1.0, loss_grid_m: 10, shift_pixels: 2, geometry_dim: 0}
    sentinel1: {channels: 5, type: continuous, weight: 1.0, loss_grid_m: 10, shift_pixels: 2, geometry_dim: 2}
    landsat: {channels: 7, type: continuous, weight: 1.0, loss_grid_m: 30, geometry_dim: 0}
    palsar2: {channels: 3, type: continuous, weight: 1.0, loss_grid_m: 30, geometry_dim: 2}
    era5_land: {channels: 12, type: continuous, weight: 1.0, loss_grid_m: 10, geometry_dim: 0}
    gedi: {channels: 101, type: continuous, weight: 1.0, loss_grid_m: 20, geometry_dim: 0}
    grace: {channels: 1, type: continuous, weight: 0.5, loss_grid_m: 1280, geometry_dim: 0}
    glo30: {channels: 1, type: continuous, weight: 1.0, loss_grid_m: 30, geometry_dim: 0, derived_channels: undisclosed}
    nlcd: {channels: 16, type: categorical, weight: 0.5, loss_grid_m: 30, geometry_dim: 0}
model:
  precision_dim: 8
  time_dim: 16
  space_dim: 32
  embedding_dim: 64
  num_blocks: 1
  num_heads: 4
  decoder_hidden_dim: 32
  vmf_kappa: 8000.0
  max_geometry_dim: 2
paper_model:
  precision_dim: 128
  time_dim: 512
  space_dim: 1024
  embedding_dim: 64
  num_blocks: 15
  parameter_count: approximately_480M
train:
  epochs: 1
  batch_size: 2
  learning_rate: 0.0005
  weight_decay: 0.000001
  reconstruction_weight: 1.0
  uniformity_weight: 0.05
  consistency_weight: 0.02
  text_weight: 0.001
  source_dropout: {sentinel2: 0.0, sentinel1: 0.3, landsat: 0.3}
  frame_dropout: {sentinel2: 0.5, sentinel1: 0.3, landsat: 0.3}
  num_workers: 0
runtime:
  device: auto
paths:
  checkpoint: result/checkpoints/alphaearthfoundations.pt
  training_metrics: result/training/metrics.json
  inference_dir: result/output
  evaluation_dir: result/evaluation