harshrox/GeoPV

GeoPV is a characteristic academic or personal prototype addressing the 'rooftop solar potential' problem space. With only 1 star and minimal activity over the last year, it lacks the momentum or community required to compete with established players. The project faces extreme competition from both frontier labs and established geospatial companies. Google's 'Project Sunroof' already provides a high-fidelity version of this capability integrated directly into Google Maps, leveraging proprietary high-resolution aerial data and Digital Surface Models (DSM) that an open-source tool using standard satellite imagery cannot easily match. Other competitors include Aurora Solar (commercial) and various mature open-source geospatial toolkits. Technically, the project appears to be a standard application of U-Net or similar CNN architectures for semantic segmentation, which is now a commodity task in computer vision. Its defensibility is near zero as the value in this domain lies in the quality of the underlying imagery and the precision of the shading analysis, neither of which are solved by a thin software layer alone.