One-page case study
Wildfire Detection — Dual-Stream CNN on FLAME Dataset
Benchmarked 8 CNN architectures on the FLAME dataset using RGB+IR dual-stream fusion for wildfire detection. Best model (ResNet18) achieved 0.94 micro-F1.
Proof Points
8 CNN architectures
0.94 micro-F1
RGB + IR fusion
Challenges
- • Handling large satellite datasets
- • Balancing precision and recall
- • Cloud cover filtering
Learnings
- • Advanced CNN architectures
- • Remote sensing indices
- • Data augmentation for imagery
Stack
PythonTensorFlowNumPyPandasSentinel-2