An Empirical Study on Learning Rooftop Solar Potential from Satellite Imagery Directly Without Explicit Geometry

Rooftop solar potential estimation often relies on LiDAR, digital surface models (DSMs), or pipelines that explicitly reconstruct roof geometry before estimating solar potential. We propose Direct Rooftop Solar Prediction (DRSP), an end-to-end formulation that maps satellite imagery and coarse regio