lia-univali/cassie

CASSIE (Coastal Analysis System from Satellite Imagery) appears to be an academic tool developed by the LIA lab at UNIVALI. With only 15 stars and 3 forks over a span of 6+ years, the project lacks any significant developer or user traction. In the competitive landscape of coastal remote sensing, it is largely overshadowed by more robust, actively maintained tools like CoastSat (which has hundreds of stars and active community support). The 'moat' for such a project would typically be its proprietary algorithms or a unique dataset, but neither is evident here; it likely uses standard multispectral indices (like NDWI) and edge detection. The primary threat is not direct competition from frontier labs like OpenAI, but rather platform dominance from Google Earth Engine (GEE) and Microsoft Planetary Computer. These platforms have made the underlying data processing so accessible that specialized standalone tools are frequently replaced by simple scripts or official platform modules. Given the zero velocity and high age, this is likely 'frozen' academic code that has already been displaced by modern GIS workflows.