feat: SAR-based flood detection

README.md

@@ -147,3 +147,28 @@ If you use ClimateVision in your research, please cite:
    · 
   <a href="https://github.com/Climate-Vision/ClimateVision/issues">Report a Bug</a>
 </p>
+
+---
+
+## Contributors
+
+Thanks to everyone who has contributed to ClimateVision! 🎉
+
+<a href="https://github.com/Climate-Vision/ClimateVision/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=Climate-Vision/ClimateVision" />
+</a>a>
+
+| Contributor | Merged PRs |
+|-------------|-----------|
+| [@Goldokpa](https://github.com/Goldokpa) | #1, #2, #3, #4, #5, #6, #16, #29, #30 |
+| [@Oshgig](https://github.com/Oshgig) | #7, #8, #33 |
+| [@femi23](https://github.com/femi23) | #34, #40, #41, #42 |
+| [@obielin](https://github.com/obielin) | #35, #36, #37, #38, #39 |
+| [@franchaise](https://github.com/franchaise) | #46, #47, #48, #49 |
+| [@Hopelynconsult](https://github.com/Hopelynconsult) | #51 |
+| [@emekambachu](https://github.com/emekambachu) | Co-author contributions |
+| [@Godswill-code](https://github.com/Godswill-code) | Co-author contributions |
+| [@cutewizzy11](https://github.com/cutewizzy11) | Co-author contributions |
+| [@edoh-Onuh](https://github.com/edoh-Onuh) | Co-author contributions |
+
+Want to join this list? Check out our [Contributing Guide](CONTRIBUTING.md) and pick up a [`good first issue`](https://github.com/Climate-Vision/ClimateVision/issues?q=label%3A%22good+first+issue%22)!

config.yaml

@@ -75,6 +75,27 @@ analysis_types:
       - "flooded_area_km2"
       - "mndwi_stats"
 
+  # Flood Detection (SAR / Sentinel-1) -- all-weather, ensemble-based, no trained
+  # weights required. Separates permanent water from flood given a JRC GSW
+  # reference or a pre-event scene.
+  flooding_sar:
+    enabled: true
+    display_name: "Flood Detection (SAR)"
+    description: "All-weather flood detection from Sentinel-1 VV/VH using a physics-based ensemble"
+    model:
+      architecture: "ensemble"   # LIST + DLR + TUW majority vote; no neural weights
+      in_channels: 2             # VV, VH
+      num_classes: 3
+    bands: ["VV", "VH"]
+    classes: ["dry_land", "permanent_water", "flooded"]
+    thresholds:
+      alert_flood_area: 5.0
+      critical_flood_area: 20.0
+    metrics:
+      - "flooded_percentage"
+      - "flooded_area_km2"
+      - "permanent_water_km2"
+
   # Drought Monitoring
   drought:
     enabled: false  # Not yet implemented

config/train_flood.yaml

@@ -0,0 +1,59 @@
+# ============================================================
+# ClimateVision — Flood Detection Training Config
+# ============================================================
+
+# --- Data --------------------------------------------------
+data:
+  dir: data/processed/flood
+  image_size: 256
+  batch_size: 8
+  num_workers: 4
+  use_weighted_sampler: true
+  pin_memory: true
+
+# --- Model -------------------------------------------------
+model:
+  architecture: flood_unet_s2only
+  in_channels: 3
+  num_classes: 3
+  encoder: efficientnet-b7
+
+# --- Loss --------------------------------------------------
+loss:
+  type: combined
+  focal_weight: 0.5
+  focal_alpha: 0.25
+  focal_gamma: 2.0
+  use_class_weights: true
+
+# --- Optimiser --------------------------------------------
+optimizer:
+  learning_rate: 1.0e-4
+  weight_decay: 1.0e-4
+  min_lr: 1.0e-6
+
+# --- Schedule ---------------------------------------------
+schedule:
+  epochs: 20
+  warmup_epochs: 3
+  checkpoint_interval: 5
+
+# --- Regularisation / Tricks ------------------------------
+training:
+  mixed_precision: true
+  grad_clip: 1.0
+  use_ema: true
+  ema_decay: 0.99
+  early_stopping_patience: 10
+
+# --- Outputs ----------------------------------------------
+output:
+  save_dir: models
+  run_name: ""
+
+# --- Normalisation stats ----------------------------------
+normalizer_stats: ""
+
+# --- Analysis type ----------------------------------------
+analysis:
+  type: flooding