needs advice

[u/chickpeaisdead]

Hey everyone,

I’m currently planning an MVP for an app/web tool that allows users to select a property via satellite imagery and generate precise roof measurement reports (area, pitch, edges, eave/ridge/valley lengths) to auto-generate roofing quotes.

I’m reaching out to get feedback from anyone who has worked with GIS, map overlays, or computer vision:

Imagery APIs: Standard Google Maps / Bing Maps tile zoom levels often get blurry when zoomed into individual residential roofs. What high-res satellite or aerial imagery providers would you recommend? (e.g., Nearmap, Mapbox High-Res, Google Solar/Aerial View API)?

Measurement & Canvas Libraries: What interactive canvas or mapping framework would be best suited for drawing polygons, calculating pitched roof surface areas, and snapped edge-tracing (Leaflet, Mapbox GL JS, OpenLayers, Fabric.js)?

CV / Machine Learning: Has anyone explored automated roof segmentation using computer vision models (e.g., Segment Anything / SAM) to auto-detect roof lines? Is CV accurate enough yet, or should I start with manual user-polygon tracing for the MVP?

Would love to hear any technical insights, potential pitfalls, or recommendations on tech stacks for building something like this.

thanks 🙏🏻