Oil spill detection workflow
- - This is a Deep Learning based oil detection workflow
- - Reveal oil spills over China Seas
Expamples of oil spill detection
 Optical image |
 Oil footprint |
Model structure
Model structure
The oil optical detection Convolutional Network (OODCNet) is based on U-net structure
Tranining dataset
Training dataset structure
It includes three parts: optical images with four spectral bands, corresponding oil labels, and calculated viewing angles
Here θm is calculate as:
cosθm = cosθ0×cosθ - sinθ0×sinθ×cos(φ0-φ)
We also share the twin-satellite observations here.
Validation results
Validation results
Oil spills over China Seas
Oil spills over China Seas
The oil spills over China Seas from 2018-2021
Time-series monitoring with SAR and Optical observations
Time-series monitoring with SAR and Optical
Combining SAR and Optical sensors to improve oil spill monitoring