# HeatAtlas

> Heat intelligence for cities: satellite land surface temperature maps, urban heat island analytics, multispectral context layers, optional LiDAR, and cooling-action prioritization—on the web or on-premise.

## Product

- [Marketing site](https://heatatlas.com/): Product story, use cases, audience, FAQ, pricing quote, app screenshot.
- [Product overview](https://heatatlas.com/#product): Map-first LST workflow—assess, plan, report (30m-class thermal resolution).
- [Use cases](https://heatatlas.com/#use-cases): District heat risk, cooling/greening plans, resilience reporting.
- [FAQ](https://heatatlas.com/#faq): Data sources, features, pricing, GIS comparison.
- [Pricing & quote](https://heatatlas.com/#pricing): Tailored quotes by city extent and data package.
- [Login](https://heatatlas.com/login.html): Customer dashboard sign-in.
- [Analysis app](https://heatatlas.com/landsat/): Interactive HeatAtlas map application (when deployed on heatatlas.com; also available as on-prem install for municipalities).

## Shipped application features (HeatAtlas map app)

- **LST map:** Thermal satellite scenes (°C), time slider, snapshot browser with cloud % and min/max/mean per scene.
- **Hotspots:** Rank hottest grid cells; adjustable grid precision; export CSV.
- **Recurring hotspots:** Areas persistently hot across multiple dates; export CSV.
- **Exclude / include zones:** Draw areas to ignore permanent industrial heat or limit analysis to AOI.
- **Context layers:** NDVI, NDMI, NDBI, MNDWI, true/false color overlays; click map for LST + index values.
- **UTFVI:** Urban Thermal Field Variance Index classes on the map; export CSV.
- **Heat analysis:** Pearson correlations of LST with vegetation, moisture, built-up, water, LiDAR height and roof fraction; mitigation priority cells (high LST + tall roofs).
- **Statistics:** Monthly, yearly, and comparative temperature charts.
- **Energy index:** Heating/cooling demand proxy from LST (informative kWh factor optional).
- **Social vulnerability:** Heat-linked vulnerability grid by season/year (demo layer).
- **AI cooling suggestions:** LLM-assisted intervention ideas by land-use type and live heat context.
- **3D view:** Temperature surface in Three.js (`map-3d.html`).
- **LiDAR:** nDMP height overlay and dedicated `lidar.html` viewer.
- **Export:** Hotspots, recurring hotspots, UTFVI, AOI values, map PNG; manual temperature scale.

## Marketing product names (roadmap / positioning)

HeatPredict, ThermalID, GreenIndex, MoistureIndex, BuildIndex, ContextTiles, HeatLens, HeatStats, NoGoZones align with shipped layers above (e.g. GreenIndex ≈ NDVI, NoGoZones ≈ exclude zones, HeatStats ≈ monthly statistics). Scenario simulation and some report links are marketed as coming soon on the website.

## Key Facts

- Product: HeatAtlas — heat intelligence SaaS and deployable web app for cities, planners, energy teams, NGOs.
- Primary thermal data: **Satellite-derived LST** (GeoTIFF pipeline); ~30m-class thermal pixels depending on source product.
- Context data: **Multispectral index rasters** (NDVI, NDMI, NDBI, MNDWI); optional **LiDAR** nDMP / point clouds.
- Temporal coverage: Multi-date archive with time navigation (revisit interval depends on the thermal constellation in use).
- Deployment: Cloud or **on-premise** (PHP + Python stack; city-hosted data).
- UI languages: Slovenian in the analysis app; English and Slovenian on the marketing site.
- Contact: hi@heatatlas.com
- LLM guides: https://heatatlas.com/llms.txt (short), https://heatatlas.com/llms-full.txt (detailed)

## Contact

- Email: hi@heatatlas.com
- Quote: https://heatatlas.com/#pricing