AI-powered land area estimates.
Landscape Estimator is a tool that uses AI, GIS data, and aerial imagery to estimate land areas for landscaping and property management. It combines:
✅ Public GIS data for property sizes
✅ Aerial analysis for estimating lawn areas
✅ User-assisted polygon tracing for corrections
✅ Next.js + TypeScript for modern web performance
- Enter an Address → We pull public land area data.
- AI Analyzes Aerial Data → If data is missing, we estimate from images.
- User Refines the Estimate → Adjust land area with a simple UI.
- Frontend: Next.js (App Router), React, TypeScript
- Backend: GIS APIs, AI/ML models (TBD)
- Mapping: Google Maps API / Leaflet.js
git clone https://github.com/citizenbob/land-estimator.git
cd landscape-estimator
yarn install
yarn dev
We’re building this in public—contributions, feedback, and issues are welcome!
1️⃣ Open an issue
2️⃣ Fork & submit a pull request
3️⃣ Join discussions
This project is publicly viewable for transparency and discussion but is not open-source.
- You MAY: View the code, provide feedback, and contribute ideas.
- You MAY NOT: Copy, modify, or redistribute this code without explicit permission.
- All contributions are owned by Good Citizens Corporation.
This project is licensed under the Business Source License 1.1 (BUSL-1.1).
For details, see the LICENSE file.