Bass Connections: EDAL 22-23
Tracking Climate Change with Satellites and Artificial Intelligence
During the 2022–2023 academic year, I participated in the Bass Connections EDAL project, focusing on enhancing geospatial data analysis for climate change research.
Key Contributions
- Developed GeoNet, a diverse dataset for self-supervised learning in remote sensing.
- Evaluated SSL models pre-trained on GeoNet and ImageNet.
- Published GeoEye, a pre-trained encoder for RGB imagery.
Technologies & Tools
PythonPyTorchTensorFlowScikit-learnOpenCVSatellite Imagery