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FDR4VGT-CLOUD
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{
  "type": "Feature",
  "stac_version": "1.1.0",
  "stac_extensions": [
    "https://stac-extensions.github.io/mlm/v1.5.0/schema.json",
    "https://stac-extensions.github.io/file/v2.1.0/schema.json"
  ],
  "id": "1DPWDEEPLABV3_CLOUDMASK_FT_2025-10-27",
  "properties": {
    "datetime": "2025-10-27T09:09:20Z",
    "created": "2025-10-27T09:09:20Z",
    "updated": "2025-12-11T17:27:11.790336Z",
    "title": "1DPWDEEPLABV3 Cloud Detection Model",
    "description": "DeepLabV3 + PixelWise MLP architecture fine-tuned for cloud detection in VGT-1, VGT-2, and PROBA-V satellite imagery from the FDR4VGT harmonized dataset.",
    "mlm:name": "1dpwdeeplabv3_fdr4vgt_cloudmask_ft",
    "mlm:architecture": "DeepLabV3 + PixelWise MLP",
    "mlm:tasks": [
      "semantic-segmentation"
    ],
    "mlm:framework": "pytorch",
    "mlm:framework_version": "2.5.1+cu121",
    "mlm:accelerator": "cuda",
    "mlm:memory_size": 90102208,
    "mlm:batch_size_suggestion": 32,
    "mlm:total_parameters": 12649538,
    "mlm:input": [
      {
        "name": "reflectance",
        "bands": [
          "Blue",
          "Red",
          "NIR",
          "SWIR"
        ],
        "input": {
          "shape": [
            -1,
            4,
            512,
            512
          ],
          "dim_order": [
            "batch",
            "channel",
            "height",
            "width"
          ],
          "data_type": "float32"
        },
        "norm": {
          "type": "raw_toc_reflectance",
          "range": [
            0,
            10000
          ]
        }
      }
    ],
    "mlm:output": [
      {
        "name": "cloud_probability",
        "result": {
          "shape": [
            -1,
            1,
            512,
            512
          ],
          "dim_order": [
            "batch",
            "channel",
            "height",
            "width"
          ],
          "data_type": "float32"
        },
        "recommended_threshold": 0.4848,
        "standard_threshold": 0.5,
        "value_range": [
          0.0,
          1.0
        ],
        "description": "Per-pixel cloud probability (Sigmoid activated)."
      }
    ],
    "mlm:hyperparameters": {
      "batch_size": "Dynamic (1-256)",
      "learning_rate": 0.0001,
      "training_epochs": 25,
      "final_val_loss": 0.0611
    },
    "custom:dynamic_batch": true,
    "custom:batch_range": [
      1,
      256
    ],
    "custom:sensors": [
      "VGT-1",
      "VGT-2",
      "PROBA-V"
    ],
    "custom:spatial_resolution": "1km (VGT) / 300m (PROBA-V)",
    "file:size": 60068139,
    "dependencies": [
      "torch>=2.0.0"
    ]
  },
  "assets": {
    "model": {
      "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/multisensor_single_1dpwdeeplabv3.pt2",
      "type": "application/octet-stream; application=pytorch",
      "title": "PyTorch model weights (Dynamic Batch)",
      "roles": [
        "mlm:model",
        "data"
      ]
    },
    "load": {
      "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/load.py",
      "type": "application/x-python-code",
      "roles": [
        "code"
      ]
    }
  },
  "links": [
    {
      "rel": "license",
      "href": "https://mit-license.org/",
      "type": "text/html"
    }
  ]
}